units

faculty-pg-it

Faculty of Information Technology

Monash University

Monash University Handbook 2015 Postgraduate - Units

This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedOverseas First semester 2015 (Off-campus Day)
Overseas Second semester 2015 (Off-campus Day)

Synopsis

This unit is used by the faculty to enrol students undertaking outbound exchange studies at a host institution. Students will not be able to enrol in this unit via WES. The faculty will manage the enrolment of students undertaking an outbound exchange program to ensure fees and credit are processed accurately.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedOverseas First semester 2015 (Off-campus Day)
Overseas Second semester 2015 (Off-campus Day)

Synopsis

This unit is used by the faculty to enrol students undertaking outbound exchange studies at a host institution. Students will not be able to enrol in this unit via WES. The faculty will manage the enrolment of students undertaking an outbound exchange program to ensure fees and credit are processed accurately.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedOverseas First semester 2015 (Off-campus Day)
Overseas Second semester 2015 (Off-campus Day)

Synopsis

This unit is used by the faculty to enrol students undertaking outbound exchange studies at a host institution. Students will not be able to enrol in this unit via WES. The faculty will manage the enrolment of students undertaking an outbound exchange program to ensure fees and credit are processed accurately.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedOverseas First semester 2015 (Off-campus Day)
Overseas Second semester 2015 (Off-campus Day)

Synopsis

This unit is used by the faculty to enrol students undertaking outbound exchange studies at a host institution. Students will not be able to enrol in this unit via WES. The faculty will manage the enrolment of students undertaking an outbound exchange program to ensure fees and credit are processed accurately.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedOverseas First semester 2015 (Off-campus Day)
Overseas Second semester 2015 (Off-campus Day)

Synopsis

This unit is used by the faculty to enrol students undertaking outbound exchange studies at a host institution. Students will not be able to enrol in this unit via WES. The faculty will manage the enrolment of students undertaking an outbound exchange program to ensure fees and credit are processed accurately.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedOverseas First semester 2015 (Off-campus Day)
Overseas Second semester 2015 (Off-campus Day)

Synopsis

This unit is used by the faculty to enrol students undertaking outbound exchange studies at a host institution. Students will not be able to enrol in this unit via WES. The faculty will manage the enrolment of students undertaking an outbound exchange program to ensure fees and credit are processed accurately.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedOverseas First semester 2015 (Off-campus Day)
Overseas Second semester 2015 (Off-campus Day)

Synopsis

This unit is used by the faculty to enrol students undertaking outbound exchange studies at a host institution. Students will not be able to enrol in this unit via WES. The faculty will manage the enrolment of students undertaking an outbound exchange program to ensure fees and credit are processed accurately.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedOverseas First semester 2015 (Off-campus Day)
Overseas Second semester 2015 (Off-campus Day)

Synopsis

This unit is used by the faculty to enrol students undertaking outbound exchange studies at a host institution. Students will not be able to enrol in this unit via WES. The faculty will manage the enrolment of students undertaking an outbound exchange program to ensure fees and credit are processed accurately.


0 points, SCA Band 2, 0.000 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedBerwick Research quarter 1 2015 (Day)
Berwick Research quarter 1 2015 (External Candidature)
Caulfield Research quarter 1 2015 (Day)
Caulfield Research quarter 1 2015 (External Candidature)
Clayton Research quarter 1 2015 (Day)
Clayton Research quarter 1 2015 (External Candidature)
Gippsland Research quarter 1 2015 (Day)
Gippsland Research quarter 1 2015 (External Candidature)
Malaysia Research quarter 1 2015 (Day)
Malaysia Research quarter 1 2015 (External Candidature)
South Africa Research quarter 1 2015 (Day)
South Africa Research quarter 1 2015 (External Candidature)
Berwick Research quarter 2 2015 (Day)
Berwick Research quarter 2 2015 (External Candidature)
Caulfield Research quarter 2 2015 (Day)
Caulfield Research quarter 2 2015 (External Candidature)
Clayton Research quarter 2 2015 (Day)
Clayton Research quarter 2 2015 (External Candidature)
Gippsland Research quarter 2 2015 (Day)
Gippsland Research quarter 2 2015 (External Candidature)
Malaysia Research quarter 2 2015 (Day)
Malaysia Research quarter 2 2015 (External Candidature)
South Africa Research quarter 2 2015 (Day)
South Africa Research quarter 2 2015 (External Candidature)
Berwick Research quarter 3 2015 (Day)
Berwick Research quarter 3 2015 (External Candidature)
Caulfield Research quarter 3 2015 (Day)
Caulfield Research quarter 3 2015 (External Candidature)
Clayton Research quarter 3 2015 (Day)
Clayton Research quarter 3 2015 (External Candidature)
Gippsland Research quarter 3 2015 (Day)
Gippsland Research quarter 3 2015 (External Candidature)
Malaysia Research quarter 3 2015 (Day)
Malaysia Research quarter 3 2015 (External Candidature)
South Africa Research quarter 3 2015 (Day)
South Africa Research quarter 3 2015 (External Candidature)
Berwick Research quarter 4 2015 (Day)
Berwick Research quarter 4 2015 (External Candidature)
Caulfield Research quarter 4 2015 (Day)
Caulfield Research quarter 4 2015 (External Candidature)
Clayton Research quarter 4 2015 (Day)
Clayton Research quarter 4 2015 (External Candidature)
Gippsland Research quarter 4 2015 (Day)
Gippsland Research quarter 4 2015 (External Candidature)
Malaysia Research quarter 4 2015 (Day)
Malaysia Research quarter 4 2015 (External Candidature)
South Africa Research quarter 4 2015 (Day)
South Africa Research quarter 4 2015 (External Candidature)

Synopsis

This unit is used by the faculty and/or the Monash Institute of Graduate Research to enrol students undertaking Higher Degrees by research. Students will not be able to enrol in this unit via WES.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedClayton First semester 2015 (Day)
South Africa First semester 2015 (Day)
Caulfield Second semester 2015 (Day)

Synopsis

The aim of this unit is to prepare Honours students in the Faculty of IT to conduct research across the range of IT disciplines, including computer science, software engineering, information systems and information management.

It introduces students to major research philosophies and paradigms, the principles of research design, research ethics, and research methods and techniques of data collection and analysis appropriate to IT research and their discipline.

Skills developed and knowledge acquired from this unit will prepare students to conduct and communicate their own research, as well as to be knowledgeable and critical interpreters of others' research.

Outcomes

On completion of this unit, students will be able to:

  • identify and explain major research philosophies and paradigms;
  • design rigorous and ethical Bachelor Honours level research projects and develop project proposals;
  • evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  • conduct ethical research;
  • communicate research findings in written and oral form in research and industry settings;
  • critically review research literature, research design and reported findings.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two 2-hour workshops

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Foundation knowledge in computer science or business information systems or information technology and systems fundamentals.

Prohibitions

ITW4001, IMS5036, IMS4036, BUS5000, CSE4910, GCO4010, CSE4650, FIT5125, FIT5143, FIT5185, FIT5190

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedSouth Africa Second semester 2015 (Day)

Synopsis

This unit will develop students capabilities to undertake research in the information systems field. Students will learn various research methods and study published research papers in which these research methods have been used. In particular, students will learn to evaluate how well the research methods have been used in published research papers. Students will also develop an understanding of some of the exciting, leading-edge research in the information systems field. This understanding may enable students to identify research topics that they would like to pursue, perhaps in an honours, masters, or PhD thesis.

Outcomes

At the completion of this unit, students should be able to:

  • undertake research in the information systems field;
  • explain various research methods used in the information systems field;
  • evaluate how well research methods have been used in published research papers.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • One 3-hour seminar

(b.) Additional requirements (all students):

  • A minimum of 9 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Co-requisites

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedClayton First semester 2015 (Day)

Synopsis

Methods from Artificial Intelligence (AI) form the basis for many advanced information systems. These techniques address problems that are difficult to solve or not efficiently solvable with conventional techniques. Building on the undergraduate curriculum this unit introduces the student to advanced AI methods and their applications in information systems.

Outcomes

On completion of this unit students, should be able to:

  • describe an overview of different technologies that form the basis of intelligent information systems;
  • explain the capabilities of these methods;
  • recognise tasks that can be solved with these methods;
  • judge the limitations of these methods;
  • apply several standard techniques in the chosen sub-fields of intelligent information systems to the construction and design of such systems;
  • critically evaluate the performance of these approaches;
  • compare these techniques to alternative approaches;
  • explain the practical relevance of intelligent information systems.

Assessment

Assignment and Examination, relative weight depending on topic composition. When no exam is given students will be expected to demonstrate their knowledge by solving practical problems and maybe required to give an oral report.

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures

(b.) Additional requirements (all students):

  • A minimum of 10 hours independent study per week for completing assignment and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Completion of the Bachelor of Computer Science or equivalent to the entry requirements for the Honours program. Students must also have enrolment approval from the Honours Coordinator.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedClayton Second semester 2015 (Day)

Synopsis

Algorithms are the most fundamental area for all aspects of computer science and software engineering. Discrete structures, such as those treated in graph theory, set theory, combinatorics and symbolic logic form the mathematical underpinning of the study of algorithms. As well-designed algorithms and data structures are essential for the good performance of an information system, an in-depth understanding of the theoretical properties of algorithms is essential for any computer scientist. As importantly, the theoretical investigation of algorithms leads to a deeper understanding of problem structures and classes of problems and the knowledge of a large variety of algorithm types enables the designer to approach a new problem from different angles. Topics for this unit include: Computability and Complexity Automata Theory Advanced Analysis and Design of Algorithms Parallel and Distributed Algorithms Numerical Algorithms Cryptographic algorithms Spatial/geometric algorithms

Outcomes

On successful completion of this unit, students should be able to:

  • critically analyse and assess algorithms for use in the chosen specialisation area;
  • be able to formally analyse algorithms in this specialisation area;
  • choose and apply algorithms and data structures in the specialisation area;
  • design and implement modified algorithms in the chosen area to suit particular problem structures.

Assessment

Assignment and Examination, relative weight depending on topic composition. When no exam is given students will be expected to demonstrate their knowledge by solving practical problems and maybe required to give an oral report.

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory or tutorial

(b.) Additional requirements (all students):

  • A minimum of 2-3 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Completion of the Bachelor of Computer Science or equivalent to the entry requirements for the Honours program. Students must also have enrolment approval from the Honours Coordinator.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedClayton Second semester 2015 (Day)

Synopsis

All sciences are increasingly relying on computational support and the growth of many branches of science has only become possible due to the availability of efficient computational methods. The common basis of such methods are; numerical methods and high performance computing. Topics for this unit include: Numerical Methods, High Performance and Parallel Computing, Optimisation and Operations Research Bioinformatics, Simulation, Visualisation and Modelling.

Outcomes

At the completion of this unit students should be able to:

  • explain the role of computational methods in the chosen field of specialisation and their relation to complimentary and related approaches;
  • solve non-trivial problems using the algorithms specific to the chosen field of specialisation;
  • compare and evaluate alternative computational approaches in the chosen domain in terms of performance and suitability to a specific problem;
  • critically evaluate the limits and capabilities of these methods;
  • select, design and test computer programs in the domain;
  • use standard computational packages in the chosen domain effectively for practical problem solving where appropriate.

Assessment

Assignment and Examination, relative weight depending on topic composition. When no exam is given students will be expected to demonstrate their knowledge by solving practical problems and maybe required to give an oral report.

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures

(b.) Additional requirements (all students):

  • A minimum of 10 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Completion of the Bachelor of Computer Science or equivalent to the entry requirements for the Honours program. Students must also have enrolment approval from the Honours Coordinator.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)

Synopsis

This unit focuses on the design, construction and deployment of mobile applications, with particular focus on Android and iOS platforms. Areas such as mobile data management and networking, MVC design patterns, and mobile GUI design considerations will be explored. The unit will emphasise hands-on, practical experience with actual devices and emulators. Research topics and ideas will also be covered for post-graduate students.

Outcomes

At the completion of this unit, students will:

  • recall the history of mobile platforms and the development of software for those platforms;
  • describe the MVC design pattern and explain the importance of this design pattern in mobile applications development;
  • critically analyse and distinguish between the design considerations for mobile application interface development and traditional interfaces;
  • analyse and implement the use of graphic and audio components in the development of mobile applications;
  • investigate, design, construct and publish applications for mobile platforms with particular focus on Android and iOS.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

CSE3211, FIT3027

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

This unit provides a detailed understanding of the underpinning theories, principles and practices of interface design for computer-based systems. It examines issues in the design of system interfaces from a number of perspectives: user, programmer, designer. It explores the application of the relevant theories in practice. The unit will cover topics such as methods and tools for developing effective user interfaces, evaluation methods such as the conduct of usability and heuristic evaluations, design of appropriate interface elements including the design of menus and other interaction styles. The unit will also focus on designing for a diverse range of users and environments.

Outcomes

At the successful completion of this unit, students should be able to:

  • explain the theories and principles of HCI;
  • apply HCI principles to interface and interaction design;
  • design for user diversity and accessibility;
  • employ user-centred interaction design;
  • design and justify an effective user interface;
  • critically evaluate an interaction design.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 2-3 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT9003 or FIT5132) or (FIT9030 or FIT5130)

Prohibitions

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate, Postgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

This unit will focus on research into the latest developments in the field of information technology, including innovative technology developments involving human computer interaction, information visualisation of complex data and emerging interface techniques. Students will learn valuable research and communication skills as they investigate and share with their peers the impact of emergent technologies and interfaces on society. The content presented in the lectures will focus on grand challenges in the field of information technology and on emerging trends. Students will apply their theoretical understanding to a practical project negotiated with the lecturer using a learning contract.

Outcomes

At the completion of this unit students will have -

A theoretical and conceptual understanding of:

  • the diversity of theoretical and conceptual frameworks which contribute to the current developments in the field of information technology, including human computer interaction, information visualisation and interface design;
  • the grand challenges in the field of information technology and the emerging trends, including the range of applications to which emerging information technologies, information visualisation techniques and innovative interfaces can be applied, for example ubiquitous computing, geospatial information visualisation and mobile devices interfaces.

Developed attitudes that enable them to:

  • critically evaluate the impact of rapid changes in information technology on society and to appreciate the pervasive and expanding range of applications and fields on which information technology is impacting.

Developed the skills to:

  • locate and critically evaluate information on current research in the field, for example using electronic library databases, and to synthesise the information they have gathered into a logical and coherent argument;
  • communicate results of their investigation to their peers effectively through written and/or oral presentations while correctly acknowledging and referencing source material;
  • apply their theoretical understanding to a practical project negotiated with the lecturer using a learning contract.

Demonstrated the teamwork skills necessary to:

  • work as a member of a team to present the finding of their research to their peers.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

24 points of level 4 or 9 FIT units

Prohibitions

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)
Caulfield Summer semester B 2015 (Day)

Synopsis

FIT5000 is an extension unit for all FIT coursework masters minor thesis degrees, where appropriate. Entry only available on approval by the Associate Dean (Education) where exceptional circumstances have been determined.

Outcomes

On completion of thw Msters thesis, students will be able to:

  1. design a rigorous Masters level research project and develop project proposal;
  2. critically review research literature, research design and reported findings;
  3. evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  4. conduct ethical research;
  5. communicate research findings in written and oral form in research and industry settings.

Assessment

Presentation and final thesis (normally 15,000 - 20,000 words): 100%

Workload requirements

Varies according to remaining requirements. To be determined by the Supervisor/Co-ordinator.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Associate Dean (Education) approval required.

Prerequisite Knowledge: Research methods and a sound understanding of the research topic area.

Prohibitions

Students are not permitted to enrol in this unit more than once.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)

Synopsis

This unit aims to introduce the secure software development issues including secure software development life cycle, secure software design principles, secure coding practices, threat evaluation models, secure software testing, deployment and maintenance, software development and security policy integration. Students are provided with a range of practical exercises and tasks to reinforce their skills including: identification of security bugs in programs written in different programming languages, design, implementation, and testing of secure concurrent and networked applications, identification of vulnerabilities in networked and mobile/wireless applications. In addition, students will learn input validation techniques to minimise security risks, man-in-the-middle attack techniques to be able to build more secure networked applications, practical secure software testing techniques to be able to test applications for security bugs.

Outcomes

On successful completion of this unit, students should be able to:

  1. investigate methods that are appropriate for the realisation software security;
  2. investigate and model the possible vulnerabilities and threats for a given application system;
  3. design, implement and produce test procedures and perform evaluation of software security features of concurrent and networked applications.

Assessment

Examination (2 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT9131 or FIT5131 or FIT9017) or equivalent
Prerequisite knowledge: Programming experience, preferably in C or C++

Co-requisites

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)

Synopsis

In-depth coverage of the protocols used to operate the Internet and intranets, and a selection of major applications, including specific implementations of the protocols and systems. The topics include: Advanced Internet Addressing: IPv6, subnetting, supernetting. TCP Performance and Enhancements: Reno, New-Reno, Fast Retransmit and Recovery, etc. Unicast and multicast routing protocols: BGP4, OSPF, MOSPF, DVMRP, etc. Messaging systems: SMTP, MIME, POP3, IMAP, World Wide Web systems: client-server implementations, HTTP, Real Time Protocols: RTP, RTCP, RSVP. Security and Firewall. Quality of Service issues: DiffServ and IntServ. Network management and Remote File activities.

Outcomes

On successful completion of this unit, students should be able to:

  • identify the appropriate Internet protocols for a given application development;
  • design client-server applications using the TCP/IP protocols;
  • configure and performance tuning of Internet communications;
  • investigate and analyse the current technology, systems and software relevant to networks in an organisataion;
  • setup corporate networks and manage their network services; and
  • upgrade and install new network services.

Assessment

Examination (2 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT9135 or FIT5135 or FIT9020) or equivalent

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

This unit will cover network design, performance modelling and analysis. Queuing models (M/M/1, M/M/k, M/M/k/k, M/G/1), networks of queues. Multi-access systems (splitting, reservation, carrier sensing), routing techniques (shortest path, Bellman-Ford, Dijkstra, adaptive routing, flooding). Quality of service (QoS) aspects, flow control, connection admission control and other traffic management functions - ATM, IntServ and DiffServ models. Network topology design and performance modelling, design considerations for local or wide area networks, including GEPON, cable and wireless networks. Introductory probability and graph theory.

Outcomes

At the completion of this unit students should be able to:

  • explain and construct queuing models for performance modelling of networks;
  • explain multi-access systems including splitting, reservation, and carrier sensing;
  • explain analysis of routing protocols commonly used on the Internet;
  • explain and apply traffic dimensioning for circuit and packet switched networks, including VoIP and multimedia;
  • explain and apply design considerations for local or wide area networks, including GEPON, cable and wireless networks;
  • explain the analysis and evaluation of the operation of a local or wide area telecommunications network.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT9135 or FIT5135 or FIT9020) or equivalent
Basic network systems knowledge, understanding of probability theory.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

This unit provides students with the knowledge, understanding and skills required to develop an application system which uses a web interface to a back-end database. The unit assumes a sound basic knowledge of programming and database concepts and skills as developed in the introductory units in these areas. The emphasis in the unit is on mastery of the key concepts and the basic knowledge and skills required to build this kind of application. The unit will provide students with an awareness of the wide range of technologies which are used to support this kind of application, but will examine only a limited number of these technologies to demonstrate the key concepts and their application.

The unit will take a strongly practical focus in examining the technology issues involved, and highlight the key issues which a developer needs to address in developing applications of this kind for real-world systems.

Outcomes

At the completion of this unit students should be able to

  1. demonstrate the impact of the history of web applications development on current web-technology;
  2. design, construct and publish web-database applications;
  3. analyse and critique the key technological issues confronting developers building web-database applications;
  4. test the key features of programming languages which are commonly used for developing web-database application;
  5. assess the MVC design pattern and construct a web-database application using the MVC design pattern;
  6. apply, analyse and critique a professional approach towards the development of web-database applications.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Recommended knowledge: It is assumed that all students have a strong knowledge of Java programming.

Prohibitions

CPE5011, CPE4003

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

Enterprise networks consists of several highly complex devices that interconnect in likewise complex configurations and modes of operation. While todays network technology has come a long way in terms of high-speed data transmission, secure management components, and software-driven administration, QoS targets have come to the fore as converged technologies have taken over both enterprise and home users of network technologies. This unit will provide students with fundamentals and theoretical foundations of Quality of Service and management aspects of modern network infrastructures. On the basis of industry best practices, research- and experience-driven standardisation, this unit will cover topics pertinent to delivering quality, security, manageability and other targets that are relevant in large-scale networks. Students will also acquire practical skills needed to plan, install, configure and manage networks through laboratory activities and projects.

Outcomes

On successful completion of this unit, students should be able to:

  • explain key concepts of quality of service across a range of technologies, network protocols and standards;
  • describe different management techniques;
  • evaluate and use quality of service schemes and network management techniques.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

FIT9135 FIT5135 or FIT9020 or equivalent

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Evening)

Synopsis

Network security is an important part of any computer network and essential knowledge for IT professionals. This unit provides fundamental network security for IT students and professionals. It covers wired and wireless communication and network security, security at different layers, computer system security, network services and applications security, basic defence systems, cryptography for network security, techniques for identifying system vulnerabilities and penetration testing.

Outcomes

At the successful completion of this unit, students should be able to:

  • explain the fundamentals of wired and wireless network security;
  • use practical skills to identify computer system vulnerabilities and carry out penetration testing;
  • identify important network security components, then design and implement defence systems.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory/tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

((FIT9131 or FIT5131 or FIT9017) and (FIT5163)) or equivalent

Students are expected to have knowledge and experience with computer networking, Unix operating system, basic maths for cryptography and socket programming.

Prohibitions

FIT5044

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

This unit provides students with an understanding of the design and development of systems that support the large enterprise in a web-based environment. Students will learn of the theoretical issues that need to be considered by the enterprise and how they can affect the development of the enterprise application. A number of techniques will be introduced as the technological means to build such an application with specific emphasis on the Java EE technology.

Outcomes

At the completion of this unit students will:

  • understand various issues pertaining to enterprise software architecture on the web;
  • acquire techniques to develop enterprise applications using the Java programming language;
  • discover various advanced Java technologies used to build web applications for the enterprise;
  • learn to competently use the advanced Java libraries to build a medium-size web application for the enterprise.

Assessment

Examination (3 hours): 50%, In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Recommended knowledge: Students undertaking this subject are expected to have a sound understanding of the concepts of the object oriented programming language, Java.

Prohibitions

CSE5060

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

This unit focuses on designing, developing and deploying distributed data management systems. The unit introduces various contemporary issues in managing large data in distributed environment such as data model, fragmentation, replication and concurrency control. The issues will be discussed using several contemporary approaches of distributed data management.

Outcomes

At the completion of this unit, students should be able to:

  • describe the principles of distributed data management such as partition, replication and concurrency;
  • identify the current research directions in the field;
  • describe and contrast the current available models, technologies for and approaches to building distributed data management systems;
  • develop a system that applies appropriate models and technologies to solve practical data management problems.

Assessment

Examination (3 hours): 50%, In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

((FIT9131 or FIT5131 or FIT9017) and (FIT9132 or FIT5132 or FIT9003 or FIT9019)) or equivalent

Prohibitions

CSE5200

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Evening)

Synopsis

This unit provides a high level coverage of mobile and distributed computing. It will focus on the underlying concepts and standards of mobile computing and current technologies for mobile and distributed systems. It will discuss cellular networks, wireless networks and their standards and technologies, context-aware computing, location-awareness, wireless sensor networks, internet mobility, web services and service-oriented technology, cloud computing and current research trends and case studies.

Outcomes

At the completion of this unit students will:

  1. identify and describe different approaches and methods for building distributed and mobile computing systems;
  2. evaluate several models and approaches and select suitable mobile computing solution to a particular case;
  3. propose and develop a mobile or distributed system that is appropriate to a problem domain;
  4. identify the current research directions in the field and their impacts.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

((FIT9131 or FIT5131 or FIT9017) and (FIT9134 or FIT5134 or FIT9018) and (FIT9135 or FIT5135 or FIT9020)) or equivalent
Prerequisite knowledge includes advanced programming skills, sound knowledge of Java, and basic/advanced knowledge of SQL.

Prohibitions

CSE5501

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Evening)

Synopsis

This unit introduces the main problems and approaches to designing intelligent software systems including automated search methods, knowledge representation and reasoning, planning, reasoning under uncertainty, machine learning paradigms, and evolutionary algorithms.

Outcomes

At the completion of this unit students should be able to:

  1. explain the theoretical foundations of Artificial Intelligence (AI) - such as the Turing test, Rational Agency and the Frame Problem - that underpin the application to information technology and society;
  2. critically explain, evaluate and apply appropriate AI theories, models and/or techniques in practice - including logical inference, heuristic search, genetic algorithms, supervised and unsupervised machine learning and Bayesian inference;
  3. utilise appropriate software tools to develop AI models or software;
  4. utilise and explain evaluation criteria to measure the correctness and/or suitability of models.

Assessment

Examination (3 hours): 70%; In-semester assessment: 30%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

FIT9131 or FIT5131 or FIT9017 or equivalent
Fundamental math with introductory knowledge of probability

Prohibitions

CSE5610

Additional information on this unit is available from the faculty at:


6 points, SCA Band 3, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Caulfield Second semester 2015 (Evening)
Caulfield Second semester 2015 (Online)
Malaysia Second semester 2015 (Evening)
Caulfield Summer semester B 2015 (Day)

Synopsis

This unit focuses on a holistic approach to project management. It provides students with a high level of understanding of the processes of project management, as well as sound skills in use of project tools. Proficiency in using key tools and concepts could give students a significant competitive advantage in the market place. The content deals with: concepts and definitions; organising and staffing the project office and team; planning, scheduling techniques; cost control; risk management; contracts and procurement; etc. Case studies, articles of interest that may appear in current media, and students' own work experiences with project management, will be discussed in the class to optimise the learning opportunity in the unit.

Outcomes

On successful completion of this unit, students should be able to:

  • analyse and evaluate the role of the modern project manager in the context of IT projects with regard to managing: a variety of projects, stakeholders, risk management and the organisational change aspects experienced by organisations as they go through the change;
  • interpret and critique a variety of project management methodologies offered by various professional bodies including that provided by the Project Management Body of Knowledge (PMBOK);
  • describe and apply the available strategies, techniques and decision tools used by project managers to manage modern IT projects based on PMBOK methodology;
  • demonstrate a financial focus to managing IT projects including: valuation of work in process, financial statements, and quotations.

Assessment

Examination (3 hours): 40%; In-semester assessment: 60%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour tutorial

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Prohibitions

FIT5022, MBA9052

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Evening)
South Africa Second semester 2015 (Day)

Synopsis

Transmission media imposes various and often unique constraints on the design of networks and their achievable performance. This unit will cover key performance concepts in copper cables, optical fibre cabled and wireless transmission media. This includes atmospheric propagation impact on QoS, satellite and wireless systems, Wifi, WiMax network propagation issues and planning concepts, and satellite and terrestrial service planning concepts. The infrastructure requirements, reliability and maintainability of networks with specific transmission media will be covered, including the application of GIS in design and planning for terrestrial, mobile and cellular systems.

  • IEEE standards: 802.11, 802.16, 802.15
  • ITU-T LTE standards

Outcomes

On successful completion of this unit, students should be able to:

  • describe basic communications and network infrastructures;
  • analyse and evaluate communications and network infrastructures for enterprises;
  • use latest wired and wireless network technologies in building network infrastructures.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT9135 or FIT5135 or FIT9020) or equivalent

Additional information on this unit is available from the faculty at:


6 points, SCA Band 1, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)

Synopsis

This unit present a coherent understanding of informational practices within organisations. It explores the structural and functional aspects that constitute organisational informatics and how these aspects combine to support diverse activities undertaken by organisations. The emphasis is to explore how information, and the ability to exploit it, contributes to corporate memory, enterprise knowledge and innovation in products, services and processes. Particular attention is given to diverse organisational setting to address private and public enterprises as well as third sector organisations.

Outcomes

On successful completion of this unit students should be able to:

  • critically evaluate the concept of organisational informatics;
  • develop socio-technical approaches to organisational informatics practices;
  • analyse informational practices within organisations;
  • critique a range of theoretical and disciplinary influences on organisational informatics;
  • assess the extent to which technology can support informational practices.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • One 2-hour seminar
  • One 2-hour tutorial

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Additional information on this unit is available from the faculty at:


6 points, SCA Band 1, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)

Synopsis

This unit relates to the fundamental role of recordkeeping professionals in society - to provide access to recorded information in the form of essential evidence of social and organisational activity for business, commercial, governmental, social, and cultural purposes. It covers the role of recordkeeping in society and organisations, functional requirements for evidence, the formulation of recordkeeping policy, strategies and tactics, the establishment of recordkeeping regimes, business functional analysis, appraisal and disposal, the development of metadata schemas and their implementation in recordkeeping systems.

Outcomes

At the completion of this unit students will be able to:

  • explain the role of records and archives in organisations and society;
  • recognise and distinguish theories and models relating to recordkeeping and archiving;
  • identify and specify recordkeeping and archiving requirements relating to the creation, management, accessibility and use of records as evidence of social and organisational activity in a range of business, community and social contexts;
  • contribute to the development of appraisal, metadata management, access and use programs in relation to contemporary and historical recordkeeping systems and digital electronic recordkeeping systems; and
  • contribute to the formulation of appraisal and metadata management, access and use policies, strategies, tactics and tools with reference to international and national standards and best practice, and the needs of all stakeholders.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour tutorial

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Malaysia First semester 2015 (Evening)

Synopsis

This unit provides students with the skills and knowledge relating to the use of latest technologies for managing knowledge, electronic documents and records to meet the needs of individuals, work groups and organisations. The unit aims to build a general understanding of technologies for managing personal and organisational structured and unstructured information and knowledge and the methods of developing systems to handle it. Students study the business context, requirements analysis techniques and implementation issues for electronic document management, recordkeeping, content and other information and knowledge management systems.

Outcomes

On successful completion of this unit, students should be able to:

  • explain the value of implementing electronic information and knowledge management systems in various organisational contexts;
  • form and present professionally a credible opinion about emerging technological advancements and their relevance for information and knowledge management;
  • identify and select appropriate strategic options for designing and implementing an information and knowledge management system depending on the functional, non-functional and transitional user requirements;
  • conduct requirements identification, design and deployment of information and knowledge management systems for various users groups;
  • assess and synthesise diverse information about up-to-date information and knowledge management systems market and how to use implementation strategies to maximise their strengths and minimise their weaknesses.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 1.5-hour tutorial

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • a minimum of 2-3 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Co-requisites

FIT9132 or FIT5132 or FIT9003 or equivalent

Additional information on this unit is available from the faculty at:


6 points, SCA Band 1, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
South Africa First semester 2015 (Day)

Synopsis

This unit provides students with a critical understanding of the impact of information technology (IT) within contemporary social relations. Using case studies drawn from different social spheres, the unit explores the ways in which the diffusion of IT has reshaped thinking and practice concerning social collaboration, the production of knowledge and community building. Particular attention is paid to the emerging field of community informatics, and the implications that this field holds for the work of information and knowledge management professionals

Outcomes

On successful completion of this unit, students should be able to:

  • analyse the nature and operation of information communities within contemporary society;
  • evaluate community informatics as an emerging discipline and professional practice;
  • assess contemporary debates concerning the social impact of information technology use;
  • distinguish the collaborative behaviours and interdependencies which contribute to notions of community;
  • analyse and critique cases from the information industry.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%;

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour tutorial

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 2-3 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Prohibitions

IMS5023

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedNot offered in 2015

Synopsis

This unit provides an introduction to e-business and how e-business relates to broader enterprise issues. The unit explores e-business from a management as well as technology perspective covering, the major issues facing business and managers in effectively managing e-business in contemporary organisations. It examines the evolving nature of e-business, its impacts on organisations, and how managers can effectively harness the potential of e-business investments to achieve organisational goals. The unit also involves study of the main theoretical and practical issues of e-business, e-business solutions in various environments, emerging patterns and their potential impacts on e-business.

Outcomes

At the completion of this unit students will be able to:

  • understand the key issues in the area;
  • understand the issues relating to the selection of the most appropriate model for an organisation;
  • understand the different technologies and e-business solutions from both a B2B and B2C perspective;
  • understand the key issues in the design, development and implementation of e-business from the perspective of both large and small organisations.

Assessment

Examination (2 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 1-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

IMS5007, BUS5960

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)
Malaysia First semester 2015 (Evening)

Synopsis

This unit provides students with an understanding of the development and use of information systems that support managers, especially their decision-making tasks. Students will learn of the nature of management work and decision theory and how this affects the development of decision support systems. A number of commonly used decision support methods and techniques will be explored. Students will be introduced to personal decision support systems, group support systems, negotiation support systems, data warehousing, executive information systems and business intelligence.

Outcomes

At the completion of this unit students will:

  1. examine and describe the concepts, scope and application of IT for decision support;
  2. explain the nature of managerial decision-making;
  3. create IT-based decision support for managers;
  4. evaluate major approaches of IT-based decision support;
  5. select the appropriate decision support approach for a particular project;
  6. perform system analysis for management support projects.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT9130 or FIT5130 or FIT9003 or equivalent) or (MGX5962 and three of (ACF5903, BTF5903, ECF5953, ETF5900, MGF5020, MGF5030, MGX5991, MGX5992 or MKX5955))

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Evening)

Notes

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.

Synopsis

This unit introduces students to the principles, techniques and applications of computer-based decision support models for business and industry. Topics include: decision trees; linear programming and optimisation; other mathematical programming methods; waiting lines and queues; time series analysis and forecasting; inventory modelling and discrete-event simulation. Models will be built and solved using spreadsheets or other computer applications as appropriate.

Outcomes

On completion of this unit students should be able to:

  • explain a variety of techniques for modelling business decision problems;
  • choose the appropriate decision model for a particular problem;
  • set up simple models and solve with hand calculations;
  • set up mathematical models for solution in a spreadsheet or other application software;
  • validate models and conduct a sensitivity analysis;
  • analyse a real problem and report the results;
  • explain the difficulty of applying models to real situations - which often requires that approximations, simplifications and generalisations be made;
  • explain the approximate nature of some types of business modelling and why this usually means that a sensitivity analysis needs to be conducted.

Assessment

Examination (2 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

At least one quantitative unit (such as Mathematics or Statistics) in an undergraduate degree.

Prohibitions

BUS5570

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Malaysia First semester 2015 (Evening)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

The unit provides students with an overview of enterprise systems and is designed to describe the role of enterprise systems as part of the larger IT infrastructure within large scale organisations. A case study approach will be adopted which will focus on inherent issues surrounding management and deployment of enterprise systems, together with implementation issues influencing the impact of these systems on the organisation. SAP ECC6 will be the software of choice to introduce students to the complexity of enterprise resource planning systems through tutorial workshops.

Outcomes

On successful completion of this unit students should be able to:

  1. describe the role of enterprise systems in supporting the business strategy, business drivers and business requirements of various organisations;
  2. identify the main suppliers, products and application domains of enterprise wide packages;
  3. explain the scale and complexity of enterprise system packages with specific reference to enterprise resource planning systems in large scale organisations;
  4. describe the integrative role of enterprise systems for information within the organisational context;
  5. describe the role of enterprise systems as part of the larger IT infrastructure of large scale organisations;
  6. identify the implementation variables, individual variables and contextual variables in enterprise system implementations and describe their role in achieving a successful implementation outcome;
  7. use SAP ECC6 to demonstrate the complexity and integrative nature of an enterprise resource planning (ERP) system in a case organisation.

Assessment

Examination (2 hours): 40%; In-semester assessment: 60%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour laboratory

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 2-3 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT9123 or FIT5123 or FIT9006 or equivalent) or (MGX5962 and three of (ACF5903, BTF5903, ECF5953, ETF5900, MGF5020, MGF5030, MGX5991, MGX5992 or MKX5955))

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

This unit develops understanding of information technology and information and knowledge management governance frameworks and strategy perspectives, with particular emphasis on the regulatory environment, legislative and organisational controls, audits, standards, professional certifications, and issues associated with measuring performance, demonstrating value and minimising risk. The unit builds on intellectual capital theory, augmented by insights from social capital and emotional capital. It draws on case studies to differentiate strategies focused primarily on people, business processes, and content, and considers the supporting technologies that can facilitate each approach.

Outcomes

On successful completion of this unit, students should be able to:

  • describe the characteristics and limitations of different IT and IKM governance frameworks and strategy perspectives, and how competing perspectives can be reconciled in practice;
  • evaluate the concepts underpinning the dominant intellectual capital perspective on IT and IKM strategy, the strengths and limitations of this approach, and how social capital and emotional capital insights can augment this view of strategy;
  • analyse the distinct features, the functional/disciplinary origins, and the key drivers of IT and IKM strategies focused primarily on
    1. people,
    2. business processes, and
    3. content and technology, and the supporting technologies that can facilitate each approach;
  • analyse links between strategy, performance and measurement, and the issues associated with demonstrating the value and benefits of IT and IKM;
  • describe the nature of the IT and IKM regulatory environment and approaches to controlling risk;
  • evaluate the importance of marketing, leading and championing IT and IKM within the organisation, and of reflective practice.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour laboratory

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

Students are introduced to the practical environment where theory of information management and systems is applied and helps prepare students for entry into the professional workplace. Through a fieldwork placement, students gain in-depth understanding of information agencies and the organisational environment in which they operate. It encourages analysis of links between theoretical concepts of information management, knowledge management and systems, to professional practice in the workplace. The unit evaluates issues in information management and information systems currently identified by practitioners, managers, researchers, organisations, and academics as being of professional concern.

Outcomes

At the completion of this unit, students should be able to:

  • evaluate professional literature and knowledge in relation to practice;
  • analyse current issues relating to the information industry;
  • apply theories and practice of their selected specialisation to the workplace;
  • apply information and knowledge management concepts and principles in a practical context and interact effectively with professional colleagues and clients;
  • assess career opportunities within the information industry and develop a personal career plan;
  • evaluate the role in professional practice of ethical codes, professional literature, professional networks and professional associations;
  • describe and apply effective interpersonal and intercultural communication and collaboration strategies and skills.

Assessment

Presentation on Professional Placement: 25%; Participation in Seminar and Discussion Forum: 25%; Professional Practice Research Project: 50%; Supervised professional placement and host supervisor's report (PGO grade)

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • One 3-hour lecture

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 3 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Only available to
+ students in the Graduate Diploma of Information and Knowledge Management
+ students in the Archives and recordkeeping or the Library and information science areas of study in the MBIS or MBIS Professional.
+ students in the Library, archival and recordkeeping systems specialisation or the Corporate information and knowledge management specialisation in the MBIS or MBIS Professional.

The unit is to be undertaken after 24 credit points from the GDIKM or the relevant MBIS professional tracks or areas of study have been completed.

Prohibitions

IMS5015

Additional information on this unit is available from the faculty at:


6 points, SCA Band 1, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)

Synopsis

This unit introduces students to the major categories of information resources in all media and how they are accessed through a variety of common user interfaces from anywhere in the world. The process of satisfying these needs through the reference interview and the application of skilled search strategies is explored. The ways that information resources are procured by libraries and e-repositories through purchase or licensing, and supplied to users on a cost-effective, efficient basis are examined. Access and authentication, intellectual property law and professional duty of care are described.

Outcomes

At the completion of this unit students should be able to:

  • implement decisions about applying organisational policies for reference and collection services, justify the principles of collection management strategies, and evaluate them;
  • manage networked access for users in the case of electronic resources;
  • develop information literacy programs; and
  • select the best source of knowledge for a practical information need.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 1-hour seminar

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 9 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Additional information on this unit is available from the faculty at:


6 points, SCA Band 1, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

This unit develops understanding of the fundamental principles, concepts and standards that guide the development of information organisation and retrieval systems and web-based information architectures. It deals with standards governing description, distribution and access to information locally and globally cataloguing, indexing, thesaurus construction, classification and metadata for knowledge discovery. It examines the effects of economic, social and technological factors on the development of bibliographic networks and cataloguing operations. Practical sessions deal with the use of major bibliographic tools, schemes and systems for information organisation.

Outcomes

At the completion of this unit students should be able to:

  • explain the key principles, concepts and standards that guide the development of information organisation and retrieval systems and web-based information architectures;
  • apply standard cataloguing, classification, indexing, thesaurus construction, and knowledge discovery metadata schemes and tools;
  • explain the guiding principles behind bibliographic utilities/networks;
  • use bibliographic software; and
  • design systems for organising information and facilitating access to information resources in physical collections or digital/web-based repositories.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour laboratory

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Prohibitions

IMS5017

Additional information on this unit is available from the faculty at:


6 points, SCA Band 1, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

This unit relates to managing the creation, storage, recall and dissemination of business records within organisation-wide frameworks. Topics cover: socio-legal and business requirements for evidence; knowledge bases for representing functions and activities; managing access; designing and implementing recordkeeping policies, strategies and systems in accordance with industry and professional standards, including the International Standard for Records Management, and using recordkeeping business analysis tools (workflow, risk management, identification of vital records, functional analysis).

Outcomes

At the completion of this unit students should be able to:

  • explain the business processes that recordkeeping activities support, and the evidential requirements for business activities in various organisational settings;
  • explain at a strategic and operational level how systems are designed and implemented to meet business needs and evidential requirements;
  • identify and discuss the suite of policies, standards and best practice guidelines that relate to quality records management;
  • undertake various forms of business analysis in support of records management activities;
  • design and implement electronic recordkeeping systems in large organisations in collaboration with other professional groups, or undertake these activities alone in a small organisation; and
  • advise senior managers on organisation-wide records management policies, programs and systems.

Assessment

Practical exercises, class activities and discussion (or electronic equivalent): 50%; Formal supervised assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour tutorial

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)
Caulfield Summer semester B 2015 (Day)

Synopsis

This unit enables students to read widely in a relevant topic within the fields of information technology, information systems or information management, under supervision. It may cover an area not offered in any other fifth-year level unit, or involve building greater in-depth knowledge in an area with which they already have some familiarity. Details for the reading unit will be defined and approved individually for each student and will include objectives, assessment details, due dates and an initial reading list. Assessment comprises a research paper or review (6000-10,000 words), project report, or equivalent. Enrolment into Reading Units and allocation of a supervising academic will be approved by the Associate Dean (Education).

Outcomes

At the completion of this unit, students will be able to:

  • analyse, synthesise and construct arguments from a range of published sources;
  • critique and evaluate others ideas, opinions and arguments;
  • explain ideas for scrutiny to a supervisor;
  • demonstrate self-reliance and time management skills in order to gain greater independence as a learner;
  • demonstrate the communication skills necessary to work effectively in a close, cooperative relationship with a supervisor.

Assessment

Research assignment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week. Students meet weekly with their supervisors for approximately 30 minutes to set goals and report on achievements and difficulties.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Completion of 24 points of graduate units from FIT.
Entry to this unit is subject to approval of the Associate Dean Education (ADE), on the advice of the relevant Masters Program Leader. An application form is required.

Prohibitions

IMS5021, BUS5010

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)

Synopsis

This unit enables students to pursue a particular topic of research in the fields of information technology, information systems or information management. The research is done under supervision, and provides a chance for a student to pursue a topic of interest that has not been covered in other coursework units, or to build more in-depth knowledge in an area with which they already have some familiarity but desire more knowledge and expertise. Students enrolling in this unit should have the approval of the Head of School or their nominee. Assessment comprises a research paper, project report, or equivalent.

Outcomes

At the completion of this unit, students will be able to:

  • analyse, synthesise and construct arguments from a range of published sources;
  • critique and evaluate others' ideas, opinions and arguments;
  • explain ideas for scrutiny to a supervisor;
  • demonstrate self-reliance and time management skills in order to gain greater independence as a learner;
  • demonstrate the communication skills necessary to work effectively in a close, cooperative relationship with a supervisor;
  • assess the nature and demands of independent research.

Assessment

Research paper, review, project report or equivalent: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week. Students are expected to hold regular meetings with supervisor(s) over the course of the semester.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Completion of 24 points of graduate units from FIT.
Entry to this unit is subject to approval of the Associate Dean Education (ADE), on the advice of the relevant Masters Program Leader. An application form is required.

Prohibitions

IMS5037

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)

Synopsis

This unit is designed to provide students with an understanding of a range of tools and techniques for systems development and knowledge of a number of specific systems development methodologies. The main topics include the tools and techniques for systems development, the evaluation of the tools and techniques, evolution of development methodologies, the organisational context in which systems development takes place and a number of systems development approaches. These include participative development, soft systems approaches, object-oriented development, structured systems development approaches, data and information-oriented approaches and rapid application development.

Outcomes

On successful completion of this unit, students should be able to:

  • describe the evolution of systems development methodologies;
  • analyse the organisational context within which systems development takes place;
  • assess the tools and techniques that are used in the development of information systems;
  • select appropriate tools and/or techniques for the development of information systems;
  • evaluate a real world project using systems development methodologies;
  • critique and evaluate different system development methodologies.

Assessment

Examination (2 hours): 40%; In-semester assessment: 60%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week in order to satisfy the reading and assignment expectations.

See also Unit timetable information

Chief examiner(s)

Prerequisites

FIT9130 or FIT5130 or FIT9003 or equivalent

Additional information on this unit is available from the faculty at:


12 points, SCA Band 2, 0.250 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)
Malaysia Second semester 2015 (Day)

Synopsis

The industry experience project capstone unit gives students the opportunity to research contemporary approaches to system development and develop new skills, as well as applying the knowledge and skills they have already gained, in the delivery and development of an IT solution to industry standards designed for use by business clients. During this process students are expected to reflect on these concepts and theories in order to analyse why they are necessary for a successful outcome. The students work in self managed teams Throughout this process students will need to communicate effectively (interpreting and evaluating what effective communication means) to a range of stakeholders. This includes analysing and synthesising information gained, as well as producing and presenting outputs to professional industry standards. Students will present, in relevant and innovative ways, findings to academics and peers as well as project based stakeholders and industry experts. The students attend unit seminars, carry out research individually and contribute in a professional, committed and collegial manner to the work of their team and to their studio peers.

It is highly recommended that students enrol in FIT5122 Professional practice in conjunction with FIT5120. FIT5122 Professional practice has been designed specifically so that students will benefit from this unit whilst taking FIT5120.

Outcomes

On successfully completing this unit, students should be able to:

  1. critically analyse complex information and identify information requirements interpreting how they may be of benefit to an organisation or a community;
  2. analyse how IT applications are developed and evaluate the underlying principles and reasons underpinning each aspect of the development process, proposing the need for and then using, a methodological approach to deliver an application;
  3. differentiate and synthesise the interrelated roles and responsibilities of all stakeholders of a project and assess and analyse why these roles are important for a successful project;
  4. apply, in an industry standard setting, new concepts as well as aspects of theoretical approaches already learned, selecting the most appropriate fit for a specific situation and the rationale for that selection;
  5. demonstrate discernment and judgment in effective two-way communication to all stakeholders/audiences, both specialist and generalist, by using innovative, relevant and meaningful mechanisms to disseminate knowledge and ideas;
  6. contrast and apply the most suitable IT and professional practice skills to operate effectively as a member of a development team;
  7. evaluate, assess and communicate both personal and team progress and learning, thus engaging in meaningful reflective practice.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 24 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two 1-hour seminar
  • Two 3-hour studio laboratories

(b.) Additional requirements (all students):

  • a minimum of 16 hours independent study per week for completing project work individually and with team members, client meetings and review work.

See also Unit timetable information

Chief examiner(s)

Prerequisites

All students: FIT5057 and students must be in their final semester of study (have less than or equal to 24 points of study to complete) and

Master of Business Information Systems students: (FIT5123 or FIT9123), (FIT5130 or FIT9130), (FIT5131 or FIT9131), (FIT5132 or FIT9132) or equivalent for non-cognate students.
Master of Information Technology students: (FIT5131 or FIT9131), (FIT5132 or FIT9132) and FIT5136 or equivalent for non-cognate students.

Master of Information Technology Professional/Master of Business Information Systems Professional: ((FIT5123 or FIT9123) and (FIT5130 or FIT9130)) or FIT5136 or equivalent
Part-time students: FIT5104 or FIT5122 for non-cognate students.

Co-requisites

FIT5104 or FIT5122 (for full-time students)

Prohibitions

FIT5198


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)
Malaysia Second semester 2015 (Evening)

Synopsis

This unit provides a practical and theoretical understanding to what it means to be an IT professional today. Students will encounter a range of issues relevant to professional practice in the workplace, including ethical and legal challenges caused by technology use. Students will research established theories and concepts and critically evaluate their practical use (taking into account many international aspects) in organisations today, as well as reviewing and understanding the wider responsibilities that IT professionals are called upon to uphold in society. Topics addressed include - organisational and professional communication; teamwork; the nature of the IT professions; the role of professional associations; problem solving and information use; cross-cultural awareness; personal and professional ethics and codes of practice.

It is highly recommended that students enrol in FIT5122 in conjunction with FIT5120 where possible. Students therefore should take FIT5120 in the last semester of their course.

Outcomes

On successful completion of this unit, students should be able to:

  1. compare and contrast IT professional roles, assessing the necessity and rationale for constant review and change;
  2. identify and analyse the ethical dimensions associated with IT-related decisions, use and quality and their possible impacts on organisations and society;
  3. reflect on and analyse the need for IT professional associations and the need for codes of ethics (including the ACS) in IT development and use;
  4. research, select and apply strategies, protocols and innovative methods for effective and efficient communications across all stakeholders, evaluating their appropriateness for intercultural communications;
  5. appraise and justify various teamwork skills for various situations, demonstrating the ability to apply them by working cooperatively and managing conflict within their team;
  6. develop and apply appropriate information gathering, critical evaluation (information and its sources) and problem solving skills;
  7. evaluate, assess and communicate both personal and team progress and learning, thus engaging in meaningful reflective practice.

Assessment

Examination (3 hours): 25%, In-semester assessment: 75%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • One 1-hour lecture
  • One 3-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Co-requisites

Full-time students must enrol in FIT5122 or FIT5104 in conjunction with FIT5120 in their final semester. Part-time students must complete FIT5122 or FIT5104 prior to enrolling in FIT5120, in their final semester. Only students completing the Archives and recordkeeping or Library and information science specialisations in the Master of Business Information Systems and Master of Business Information Systems (Professional) will enrol in FIT5104 in place of FIT5122.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)

Synopsis

This unit aims to provide students with an advanced knowledge of IT security. Topics include design and implementation of advanced cryptosystems for high-performance applications such as low power mobile devices, cryptographic protocols for secure online computation applications such as e-voting. We will cover advanced hacking techniques, complete computer system penetration testing and defences. Further topics include advanced wireless network security, enterprise security architectures, malicious code detection and prevention systems, defence systems in depth, advanced software security, virtual system and cloud computing security, and emerging technologies such as quantum computing and cryptography. Students will do practical exercises and tasks throughout the unit.

Outcomes

On successful completion of this unit, students should be able to:

  • explain the operation of several advanced cryptosystems and protocols and their underlying assumptions and applications;
  • apply a range of hacking and penetration testing techniques;
  • describe advanced security design issues in the context of software and network settings;
  • explain the potential security implications and limitations of emerging technologies.

Assessment

Examination (3 hours): 60%, In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedClayton First semester 2015 (Day)
Clayton First semester 2015 (Online)
Malaysia First semester 2015 (Evening)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

The aim of this unit is to prepare Masters students in the Faculty of Information Technology to conduct research across the range of IT disciplines, including computer science, software engineering, information systems and information management.

It introduces students to major research philosophies and paradigms, the principles of research design, research ethics, research methods and techniques of data collection and analysis appropriate to IT research and their disciplines, and IT research in research and industry settings.

Skills developed and knowledge acquired from this unit will prepare students to conduct and communicate their own research, as well as to be knowledgeable and critical interpreters of others' research.

Outcomes

At the completion of this unit, students should be able to:

  • identify and explain major research philosophies and paradigms;
  • design rigorous and ethical Masters-level research projects and develop project proposals;
  • evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  • conduct ethical research;
  • communicate research findings in written and oral form in research and industry settings;
  • critically review research literature, research design and reported findings.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:
Two 2-hour workshops

(b.) Additional requirements (all students):
A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Students must be enrolled in an FIT Masters degree or Research degree and have successfully completed 24 points of level five non-foundation units and achieved an overall average of at least 70% across all non-foundation units. Foundation units are (FIT9123 or FIT5123), (FIT9130 or FIT5130), (FIT9131 or FIT5131), (FIT9132 or FIT5132), (FIT9134 or FIT5134) and (FIT9135 or FIT5135).

Foundation knowledge in computer science or business information systems or information technology and systems fundamentals.

Prohibitions

FIT4005, FIT5143, FIT5185, FIT5190

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Malaysia First semester 2015 (Evening)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

This unit is a research unit common to FIT Masters degrees. Due to the nature of IT, a wide range of Masters project types can be offered to students. Some project components are of a practical nature and may involve software development and/or experimentation, while other components are of a more theoretical nature.

Outcomes

On completion of the Masters thesis, students will be able to:

  1. design a rigorous Masters level research project and develop project proposal;
  2. critically review research literature, research design and reported findings;
  3. evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  4. conduct ethical research;
  5. communicate research findings in written and oral form in research and industry settings.

Assessment

This unit forms part of the sequence of units comprising the Masters Thesis in the Faculty of Information Technology.
The exit point is FIT5128 (18cpts). At the completion of the requirements for the thesis the following components of assessment will be completed:
Research Proposal: 5%; Literature Review: 10%; Interim Presentation: hurdle; Final Presentation: 5%;Thesis (normally 15,000 - 25,000 words): 80%

Workload requirements

Minimum total expected workload equals 12 hours per week. Students will be expected to hold regular meetings with supervisor(s) over the course of the semester.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Admission to an FIT Masters program.

Students must have successfully completed 24 points of level five non-foundation units and have achieved an overall average of at least 70% across all non-foundation units. Foundation units are (FIT9123 or FIT5123), (FIT9130 or FIT5130), (FIT9131 or FIT5131), (FIT9132 or FIT5132), (FIT9134 or FIT5134) and (FIT9135 or FIT5135).

Co-requisites

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)
Malaysia Second semester 2015 (Evening)

Synopsis

This unit is a research unit common to FIT Masters degrees. Due to the nature of IT, a wide range of Masters project types can be offered to students. Some project components are of a practical nature and may involve software development and/or experimentation, while other components are of a more theoretical nature.

Outcomes

On completion of the Masters thesis, students will be able to:

  1. design a rigorous Masters level research project and develop project proposal;
  2. critically review research literature, research design and reported findings;
  3. evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  4. conduct ethical research;
  5. communicate research findings in written and oral form in research and industry settings.

Assessment

This unit forms part of the sequence of units comprising the Masters Thesis in the Faculty of Information Technology.
The exit point is FIT5128 (18cpts). At the completion of the requirements for the thesis the following components of assessment will be completed:
Research Proposal: 5%; Literature Review: 10%; Interim Presentation: hurdle; Final Presentation: 5%;Thesis (normally 15,000 - 25,000 words): 80%

Workload requirements

Minimum total expected workload equals 12 hours per week. Students will be expected to hold regular meetings with supervisor(s) over the course of the semester.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Admission to an FIT Masters program.
Students must have successfully completed 24 points of level five non-foundation units and have achieved an overall average of at least 70% across all non-foundation units. Foundation units are (FIT9123 or FIT5123), (FIT9130 or FIT5130), (FIT9131 or FIT5131), (FIT9132 or FIT5132), (FIT9134 or FIT5134) and (FIT9135 or FIT5135).

Co-requisites

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)
Malaysia Second semester 2015 (Evening)

Synopsis

This unit is a research unit common to FIT Masters degrees. Due to the nature of IT, a wide range of Masters project types can be offered to students. Some project components are of a practical nature and may involve software development and/or experimentation, while other components are of a more theoretical nature.

Outcomes

On completion of this unit, students will be able to:

  1. design a rigorous Masters level research project and develop project proposal;
  2. critically review research literature, research design and reported findings;
  3. evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  4. conduct ethical research;
  5. communicate research findings in written and oral form in research and industry settings.

Assessment

This unit forms part of the sequence of units comprising the Masters Thesis in the Faculty of Information Technology.
The exit point is FIT5128 (18cpts). At the completion of the requirements for the thesis the following components of assessment will be completed:
Research Proposal: 5%; Literature Review: 10%; Interim Presentation: hurdle; Final Presentation: 5%;Thesis (normally 15,000 - 25,000 words): 80%

Workload requirements

Minimum total expected workload equals 12 hours per week. Students will be expected to hold regular meetings with supervisor(s) over the course of the semester.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Admission to an FIT Masters program.
Students must have successfully completed 24 points of level five non-foundation units and have achieved an overall average of at least 70% across all non-foundation units. Foundation units are (FIT9123 or FIT5123), (FIT9130 or FIT5130), (FIT9131 or FIT5131), (FIT9132 or FIT5132), (FIT9134 or FIT5134) and (FIT9135 or FIT5135).

Co-requisites

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

Enterprise networks are highly complex infrastructures that demand correct management practices in planning, operations and security. Significant challenges arise from the scale of operations required as well as the increasingly common incidents of intrusion, sabotage, espionage or data theft, and vandalism. The unit will provide students with practical foundations in planning secure networks, policy-based operations and the implementation of security. Students will also be introduced to best practices in dealing with security breaches. Practical skills will be acquired through lab activities and case studies (projects).

Outcomes

On successful completion of this unit, students should be able to:

  • explain critical factors of enterprise security planning, operations and management;
  • perform risk analysis and assessment;
  • provide practical security policies, strategies and implementation plan for enterprise systems.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory/tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)
Caulfield First semester 2015 (Online)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)
Malaysia Second semester 2015 (Evening)

Synopsis

Covers the core skills for enterprise architects, addressing the structuring and delivery of IT services in organisations. Addresses topics including SaaS, Cloud computing, enterprise 2.0 and other collaborative technologies, services science management and engineering and services strategy.

Outcomes

On the completion of this unit, students should be able to:

  1. describe the purpose of enterprise architectures and the underlying principles of their design;
  2. explain individual IT systems and services as interrelated components of an enterprise-wide platform;
  3. implement knowledge of industry-standard enterprise architecture models, approaches, frameworks and standards;
  4. describe into the need for sound data, information and technology governance strategies;
  5. implement substantively to decisions regarding the design of an enterprise architecture for an organisation;
  6. explain the alignment of an organisation's IT strategy, platforms and systems with the overall organisational strategy and management functions.

Assessment

Examination (3 hours): 60%, In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour tutorial

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

For students enrolled in the Master of Business: MGX5962 and three of (ACF5903, BTF5903, ECF5953, ETF5900, MGF5020, MGF5030, MGX5991, MGX5992 or MKX5955)

Co-requisites

For all students other than those enrolled in the Master of Business: FIT9123 or FIT5123 or FIT9006 or equivalent

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)
Caulfield Second semester 2015 (Day)

Synopsis

This unit provides an introduction to the discipline of software engineering at the postgraduate level. The emphasis is upon a broad coverage of various aspects of software engineering. We assume the students will at this stage have adequate programming skills and are able to put theories to practice. The notion of a software system as a model or approximation of a desired system is introduced, and used as a way of describing such things as the software life cycle and its various models, programming by contract, design and testing issues, maintenance, reuse, complexity, divide and conquer strategies, metrics and measurement, project management and software legacy.

Outcomes

On successful completion of this unit, students should be able to:

  • describe the breadth and nature of the software engineering process and distinguish various phases of the process;
  • create and develop the required artefacts during each phase of the software engineering process;
  • differentiate and evaluate the software engineering techniques used to produce the artefacts;
  • assess the issues in constructing large software systems from its components, and the nature and design of these components;
  • employ group working skills in solving software development problems;
  • analyse and evaluate IT-related scenarios with reference to the software engineering code of ethics and professional practice.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

FIT9131 or FIT5131 or FIT9017 or equivalent

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

This unit looks at the design and implementation issues of database management systems. Advanced database design using multi-dimensional database design and semi-structured database design are explored. Online analytical query language will be explored in the context of multi-dimensional database design. Query optimisation and tuning will be explored, as well as semi-structure database design and query processing.

Outcomes

On successful completion of this unit students should be able to:

  • design multi-dimensional databases;
  • use fact and dimensional modelling;
  • implement online analytical query language;
  • explain query optimisation and its impact on multi-dimensional design.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour laboratory

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT9132 or FIT5132 or FIT9003 or FIT9019) or equivalent
Knowledge of relational database principles, including SQL.

Prohibitions

FIT4038

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedNot offered in 2015

Synopsis

This unit covers the core software engineering disciplines concerned with formally modelling software systems using logics and verifying the correctness of such specifications using mechanical/automated proof tools. Topics include mathematical logic, formal specification languages, theorem proving and model checking. It shows how to analyse model complex software systems, how to express properties that the system should adhere to and how to use mechanical/automated proof tools to formally verify such properties.

Outcomes

On successful completion of this unit students should be able to:

  • articulate the role of formal logic and verification methods in the system development life cycle;
  • categorise major techniques and approaches to software verification: theorem proving, model checking and model-based testing;
  • develop software specifications and express desirable properties using a formal language such as the Event-B notation and LTL;
  • install and use a theorem prover such as Rodin on a *nix/Mac OS X/Windows platform to verify the correctness of properties;
  • install and use a LTL model checking system to verify the correctness of a system's temporal properties.

Assessment

Examination (3 hours): 60%, In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)

Synopsis

Modern computer systems contain parallelism in both hardware and software. This unit covers parallelism in both general purpose and application specific computer architectures and the programming paradigms that allow parallelism to be exploited in software. This unit examines both shared memory and message passing paradigms in both hardware and software; concurrency, multithreading and synchronicity; parallel, clustered and distributed supercomputing models and languages. Students will program in these paradigms. This unit draws on units in distributed databases and grid computing. It will also cover the technology and application of cloud computing with particular reference to programming frameworks (e.g. MapReduce, Hadoop etc).

Outcomes

On successful completion of this unit students should be able to:

  • solve basic problems in distributed computing, especially in relation to synchronisation, distributed transactions, concurrency control, distributed consensus;
  • explain the differences between various distributed computing models and widely used distributed computing schemes;
  • describe a variety of parallel programming paradigms, synchronisation and parallelisation primitives, message passing, data parallel, tuple space;
  • identify computational tasks that benefit from parallelism;
  • design and implement a parallel-distributed software system.

Assessment

Examination (3 hours): 60%, In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

This unit focuses theoretical concepts, applications and research issues of mobile software. Students will learn techniques to design and develop mobile applications. A number of different toolkits/development environments will be discussed and used for the practical component of the unit. Interaction between mobile applications and other systems such as sensor networks or web systems will also be explored.

Outcomes

On successful completion of this unit, students should be able to:

  1. describe the principles and theoretical concepts of mobile software systems;
  2. explain different mobile systems toolkits and development environments;
  3. utilise techniques for developing mobile applications;
  4. develop mobile applications;
  5. integrate mobile applications with other systems, such as sensor network systems or web systems.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)

Synopsis

This unit consists of a number of seminars, the content of which will cover emerging information and communication technologies. Students will be required to undertake analytical research on particular technologies and present on recent developments.

Outcomes

On completion of this unit, students will be able to:

  • critically analyse a range of recent developments in information technology;
  • develop high level understanding of emerging information technologies;
  • persuasively argue cases for and against the adoption of new information technologies under a range of circumstances.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

Advanced methods of discovering patterns in large-scale multi-dimensional databases are discussed. Solving classification, clustering, association rules analysis and regression problems on different kinds of data are covered. Data pre-processing methods for dealing with noisy and missing data in the context of Big Data are reviewed. Evaluation and analysis of data mining models are emphasised. Hands-on case studies in building data mining models are performed using popular modern software packages.

Outcomes

On successful completion of this unit, students should be able to:

  • explain the kinds of data from which knowledge can be mined, the way each data type can be presented to a data mining algorithm, the kinds of patterns that can be mined from each data type;
  • evaluate the quality of data mining models;
  • perform pre-processing of large-scale multi-dimensional datasets in preparation for data mining experiments;
  • perform data pre-processing for data with outliers, incomplete and noisy data;
  • compare the various learning algorithms and the ability to effectively apply suitable algorithms to mine frequent patterns and associations from data, to perform data classification, data clustering and regression analysis;
  • use modern data mining tools to solve non-trivial data mining problems;
  • research the current trends in data mining applications;
  • work in a team to extract knowledge from a common dataset using various data mining methods and techniques.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

FIT5047 or FIT5045 or equivalent
Sound fundamental knowledge in maths and statistics; database and computer programming knowledge.

Additional information on this unit is available from the faculty at:


0 points, SCA Band 2, 0.000 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedClayton First semester 2015 (Day)
Malaysia First semester 2015 (Day)
Caulfield Second semester 2015 (Day)
Malaysia Second semester 2015 (Day)

Synopsis

The aim of this unit is to prepare Master of Philosophy students in the Faculty of IT to conduct research across the range of IT disciplines, including computer science, software engineering, information systems and information management.

It also provides PhD students with a foundation for their studies in FIT6021 Advanced IT research methods if they have not taken an equivalent unit in their previous studies.

It introduces students to major research philosophies and paradigms, the principles of research design, research ethics, research methods and techniques of data collection and analysis appropriate to IT research and their disciplines, and IT research in research and industry settings.

Skills developed and knowledge acquired from this unit will prepare students to conduct and communicate their own research, as well as to be knowledgeable and critical interpreters of others' research.

Outcomes

On completion of this unit, students will be able to:

  • identify and explain major research philosophies and paradigms;
  • design rigorous and ethical Masters-level research projects and develop project proposals;
  • evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  • conduct ethical research;
  • communicate research findings in written and oral form in research and industry settings;
  • critically review research literature, research design and reported findings.

Assessment

In-semester assessment: 100%

Students will develop a portfolio of work linked to the workshops. It might include: critical reviews of research literature, design and findings; research proposals' workshop presentations; mini-research projects, practical exercises and quizzes relating to research design, methods and techniques; reflective blogs relating to the relevance of the workshops to their research thesis or project.

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two 2-hour workshops

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Only students in PhD and MPhil research programs are eligible to enrol into this unit.

Prohibitions

FIT4005, FIT5125, FIT5185, FIT5190

Additional information on this unit is available from the faculty at:


0 points, SCA Band 2, 0.000 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedMalaysia Second semester 2015 (Evening)
Caulfield Full year 2015 (Flexible)
Malaysia Full year 2015 (Flexible)
Caulfield Second semester to First semester 2015 (Flexible)
Malaysia Second semester to First semester 2015 (Flexible)

Synopsis

This unit is an elective designed for PhD and Master of Philosophy students. It focuses on the development of strategies and skills to complement and support PhD and Masters research studies, and prepare students for a career in research. PhD students are expected to complete FIT5144 before their Mid-Candidature/Progress Review.

Outcomes

On successful completion of this unit, students should be able to:

  • develop and implement a publication strategy;
  • manage research data and IP;
  • develop and implement research funding strategies;
  • apply entrepreneurial and innovative approaches to commercialising research;
  • communicate and publish research findings in different forms to a range of different audiences in academic, industry and community forums;
  • plan and organise PhD and Masters research, using the milestones to ensure timely completion;
  • apply a range of generic and professional research skills to enhance future employability and plan a career in research.

Assessment

In-semester assessment: 100%
Each workshop, boot camp or other activity will include an associated assessable task, which will comprise a portfolio of results.

Workload requirements

Equivalent of 48 hours of face-to-face contact/class time plus 96 hours of individual study time.

See also Unit timetable information

Chief examiner(s)


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Monash Online Teaching Period 5 2015 (Online)
Monash Online Teaching Period 6 2015 (Online)

Notes

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.

Synopsis

This unit looks at processes and case studies to understand the many facets of working with data, and the significant effort in Data Science over and above the core task of Data Analysis. Working with data as part of a business model and the lifecycle in an organisation is considered, as well as business processes and case studies. Data and its handling is also introduced: characteristic kinds of data and its collection, data storage and basic kinds of data preparation, data cleaning and data stream processing. Curation and management are reviewed: archival and architectural practice, policy, legal and ethical issues. Styles of data analysis and outcomes of successful data exploration and analysis are reviewed. Standards, tools and resources are also reviewed.

Outcomes

On successful completion of this unit a student should be able to:

  1. analyse the role of data in different styles of business;
  2. demonstrate the size and scope of data storage and data processing, and classify the basic technologies in use;
  3. assess tasks for data curation and management in an organisation;
  4. classify participants in a data science project: such as statistician, archivist, analyst, and systems architect;
  5. classify the kinds of data analysis and statistical methods available for a data science project;
  6. locate and assess resources, software and tools for a data science project.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 144 hours per semester comprising:

  1. Contact hours for on-campus students:
    • Two hours/week lectures
    • Two hours/week laboratories

  1. Contact hours for Monash Online students:
    • Two hours/week online group sessions

Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

  1. Additional requirements (all students):
    • A minimum of 8 hours per week of personal study (22 hours per week for Monash online students) for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT5131 or FIT9131) and (FIT5132 or FIT9132) or equivalent


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Notes

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.

Synopsis

This unit provides students with an understanding of the tasks and the main issues associated with the management of data in modern organisations and communities for business and societal purposes. The unit will examine some of the key issues that affect the data management function, incorporating recordkeeping, information accessibility, knowledge management and the governance and accountability for the data repositories. This will be used as a basis for explaining the nature of specialist work in this field and associated professional roles and responsibilities. Topics cover digital repository infrastructures, digital continuity planning; data archiving; data migration; the development of systems to support data discovery and reuse; mediated access to digital information; negotiation of data rights (ownership, copyright, access, privacy etc); utilisation of cloud computing platforms, and the data curation continuum.

Outcomes

On completion of this unit, students should be able to:

  • devise and propose a data curation strategy;
  • evaluate and critique existing data architectures and processes;
  • analyse and compare different approaches to delivering data services;
  • describe and explain ethical, legal, social and organisational issues that impact the creation and use of digital repositories;
  • recognise and describe specialist professional roles and responsibilities associated with digital repositories.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 144 hours per semester comprising:

(a.) Contact hours for on-campus students:

  • Two hours/week lectures
  • Two hours/week laboratories

(b.) Contact hours for online (Caulfield) students:

  • Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

(c.) Contact hours for Monash Online students:

  • Two hours/week online group sessions
  • Monash online students do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

(d.) Additional requirements (all students):

  • A minimum of 8 hours per week of personal study (22 hours per week for Monash Online students) for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

See also Unit timetable information

Chief examiner(s)


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedNot offered in 2015

Notes

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.

Synopsis

This unit introduces statistical and visualisation techniques for the exploratory analysis of data. It will cover initial data preparation, how to obtain data, clean, subset, convert and fuse it into formats suitable for analysis. It will also cover the role of data visualisation in data science and its limitations. Visualisation of qualitative, quantitative, temporal and spatial data will be presented. What makes an effective data visualisation, interactive data visualisation, and creating data visualisations with R will also be presented.

Outcomes

On successful completion of this unit a student should be able to:

  1. perform exploratory data analysis using Python and R;
  2. demonstrate the role of data visualisation in data science and its limitations;
  3. critically evaluate data and its provenance;
  4. critically evaluate and interpret a data visualisation;
  5. distinguish standard visualisations for qualitative, quantitative, temporal and spatial data;
  6. choose an appropriate data visualisation;
  7. implement data visualisations using R.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 144 hours per semester comprising:

(a.) Contact hours for on-campus students:

  • Two hours per week lectures
  • Two hours per week laboratories

(b.) Contact hours for Monash Online students:

  • Two hours/week online group sessions
  • Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

(c.) Additional requirements (all students):

  • A minimum of 8 hours per week of personal study (22 hours per week for Monash online students) for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

See also Unit timetable information

Prerequisites

Some of the material relies on a basic knowledge of statistics (mean, standard deviation, median) and a basic knowledge of geometry. A secondary/high-school level understanding of these concepts is sufficient.

Some knowledge of programming (scripting in Python) is required.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedNot offered in 2015

Notes

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.

Synopsis

Data engineering is about developing the software (and hardware) infrastructure to support data science. This unit introduces software tools and techniques for data engineering, but not hardware. It will cover:

  • traditional methods of data processing such as RDBMS, SQL for structured data;
  • introduction to distributed databases;
  • structured vs. unstructured data;
  • introduction to big data and its handling;
  • introduction to NoSQL and Hadoop stack of technologies;
  • introduction to building a data mining framework for big data.

Outcomes

On successful completion of this unit a student should be able to:

  • use and explain advanced databases concepts;
  • write and interpret advanced SQL queries;
  • identify and explain the working of distributed databases and systems;
  • explain use of unstructured data and NoSQL technologies;
  • evaluate applications of the Hadoop stack of technologies;
  • demonstrate how to handle big data;
  • implement data mining and machine learning solutions on a prototyping scale.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 144 hours per semester comprising:

(a.) Contact hours for on-campus students:

  • Two hours/week lectures
  • Two hours/week laboratories

(b.) Contact hours for Monash Online students:

  • Two hours/week online group sessions.
  • Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

(c.) Additional requirements (all students):

  • A minimum of 8 hours per week of personal study (22 hours per week for Monash Online students) for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

See also Unit timetable information

Prerequisites

FIT5132 or FIT9132


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedNot offered in 2015

Notes

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.

Synopsis

This unit aims to provide students with the necessary analytical and data modelling skills for the roles of a data scientist or business analyst. Students will be introduced to established and contemporary techniques for data exploration, analysis and presentation using widely available analysis software. The applicability of the modelling and analysis techniques taught to data from a wide variety of sources make this unit relevant to students considering a wide range of careers. In particular the unit is relevant to studying any discipline where access to large data sets arising from observation, experimentation or human activity is likely. Thus, students from the physical and social sciences; business and economics, especially finance and risk modelling, as well as medical and biomedical research and related fields would benefit from this unit.

Outcomes

On successful completion of this unit students should be able to:

  • analyse data sets using a range of statistical, graphical and machine-learning tools;
  • validate and critically assess the results of analysis;
  • interpret the results of analysis and communicate these to a broad audience;
  • employ open source and proprietary software for data analytics;
  • critically assess the appropriateness of analytical methods for a given task;
  • critically evaluate the limitations and benefits of data analytics;
  • formulate how to transform a given real world problems into one that can then be solved using data analytics techniques.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 144 hours per semester comprising:

(a.) Contact hours for on-campus students:

  • Two hours/week lectures
  • Two hours/week laboratories

(b.) Contact hours for Monash Online students:

  • Two hours/week online group sessions.
  • Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

(c.) Additional requirements (all students):

  • A minimum of 8 hours per week of personal study (22 hours per week for Monash online students) for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

See also Unit timetable information

Prerequisites


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Malaysia Second semester 2015 (Evening)
Caulfield Summer semester A 2015 (Day)
Caulfield Summer semester B 2015 (Day)

Synopsis

This unit provides detailed understanding of user interaction design theories, principles and practices and usability for web based systems and small screen devices. The unit examines issues in interaction design and usability from various perspectives, in particular the user experience. The unit includes how to achieve more effective design during systems development, tools and techniques for understanding users better and the application of these to designing web and small screen device systems. It explores contemporary issues including the challenges faced by designers with emerging technologies.

Outcomes

At the completion of the unit, students should be able to:

  1. explain the theories and principles of HCI;
  2. apply HCI principles to interface and interaction design;
  3. design for user diversity and accessibility;
  4. employ user-centred interaction design;
  5. design and justify an effective user interface;
  6. critically evaluate an interaction design;
  7. investigate interface and interaction design for Web, small screen and mobile devices;
  8. explain the challenges facing designers of interfaces in augmented and virtual reality environments.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 1.5-hour laboratory

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

FIT4063, IMS5302, CSE5930

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

This unit provides students with an understanding of the development and use of IT tools and techniques for modelling and decision support in the field of finance. The unit is designed to give students a broad understanding of the financial subsystems confronting business enterprises. The main focus, besides the traditional modelling of finance decision making process using spreadsheet tools, will be IT tools and related techniques that can aid in the analysis and interpretation of real financial problems confronting an enterprise. This unit will look at business related financial issues in the context of specific case studies.

Outcomes

On the completion of this unit, students should be to:

  • explain the core foundations of finance, as appropriate to key financial analysis and decision making;
  • analyse the core technologies that support financial analysis and decision making;
  • implement quantitative techniques supporting financial analysis and decision making;
  • apply the technologies and techniques studied to solving financial issues;
  • analyse financial solution requirements and select appropriate technical and quantitative decision aids;
  • interpret outputs from quantitative and technology based finance tools to aid in decision making.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

FIT9131 or FIT5131 or FIT9004 or FIT9017 or equivalent
Basic descriptive and inferential statistics, some financial accounting and basic business finance knowledge.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Evening)
Caulfield Second semester 2015 (Online)
Malaysia Second semester 2015 (Evening)

Synopsis

Business processes must be designed to ensure that they are effective and meet customer requirements. A well-designed process will improve efficiency and deliver greater productivity. This unit will introduce students to analytical tools that can be used to model, analyse, understand and design business processes. Students will also gain hands-on experience in using simulation software as a tool for analysing business processes.

Outcomes

On successful completion of this unit, students should be able to:

  • describe business processes, their structures and how they fit in to the overall organisation objectives;
  • use analytical tools for modelling, analysing, understanding and designing business processes;
  • use simulation software as a tool for analysing business processes;
  • report to and advise management on business process design and re-engineering issues.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

FIT9131 or FIT5131 or FIT9004 or FIT9017 or a least one quantitative unit such as mathematics or statistics at undergraduate level

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)
Caulfield Second semester 2015 (Day)

Synopsis

The unit aims to provide the students with in depth knowledge of techniques required to deal with security problems in information systems. The main areas of study include symmetric and asymmetric encryption techniques, cryptographic hash functions with related topics of message authentication codes and digital signatures. Study of techniques and algorithms for providing mutual trust include key management and distribution and user authentication to establish trust in the identity of communicating partner are also included. It looks at various management issues, including use and abuse of encryption, distributed systems authentication and integrity management. A range of security applications are used as examples. Students will learn how to apply cryptographic techniques in practice.

Outcomes

At the completion of this unit students should be able to:

  • critically assess threats, vulnerabilities and risks to an organisation's information assets, and propose control technologies and techniques which can be applied to reduce the security risk;
  • apply a variety of cryptographic algorithms to develop methods to disguise information to ensure its integrity, confidentiality and authenticity;
  • apply a variety of methods for key management and distribution and analyse the risks associated with the various approaches;
  • implement user authentication and access control mechanisms to create a security architecture to protect the assets of the information system;
  • implement cryptographic techniques to preserve the security of information and evaluate its effectiveness;
  • apply a variety of security control technologies to IT systems in an organisation.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

((FIT9134 or FIT5134 or FIT9018) and (FIT9135 or FIT5135 or FIT9020)) or equivalent
Introductory knowledge of computing at the undergraduate level is assumed.

Prohibitions

FIT4016

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

This unit presents students with the theory and practice underlying computerised information retrieval. Topics covered include: history and context of information retrieval systems, retrieval models, Boolean, vector space and probabilistic, evaluation strategies, test collections, web search engines, indexing, content-based multimedia retrieval and relevance feedback.

Outcomes

At the completion of this unit, students should be able to:

  1. analyse critically the context and application of information retrieval systems;
  2. compare the different models of information retrieval and their comparative advantages and disadvantages;
  3. apply objective and subjective evaluation strategies in information retrieval systems;
  4. address the issues and challenges of managing very large collections of heterogeneous data for information retrieval;
  5. research how web search engines and search algorithms are constructed, utilised and deployed;
  6. do indexing for different media;
  7. implement information retrieval systems for the retrieval of audio-visual information;
  8. reflect on the theoretical and practical underpinnings of relevance feedback in information retrieval systems.

Assessment

Examination (2 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

(FIT9131 or FIT5131 or FIT9017) and (FIT9132 or FIT5132 or FIT9003 or FIT9019)) or equivalent

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)

Synopsis

This unit looks at the development and application of biologically inspired models of computation. We study: basic components of a natural neural systems: synapses, dendrites and neurons and their computational models; fundamental concepts of data and signal encoding and processing; neural network architectures: pattern association networks, auto associative networks, feedforward networks, competitive networks, self organizing networks and recurrent networks; plasticity and learning. Hebb rule, supervised learning, reinforced learning, error-correcting learning, unsupervised learning, competitive learning, self-organization.

Outcomes

At the completion of this unit students should be able to:

  1. reflect on basic computational principles underlying the operations of biological neural systems;
  2. critically analyse supervised, unsupervised and self-organising neuronal learning systems;
  3. compare computational methods of simulating biological and artificial neural systems;
  4. create models using computer softwares to simulate behaviour of neurons and neural networks;
  5. perform data pre-processing in preparation for neural networks experiments;
  6. evaluate the quality of neural networks models.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

CSE5301

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)

Synopsis

This unit investigates the management of semi-structured data. The unit explores the modelling of semi-structured data in XML using XML Schema and the transformation of such data using XSLT. It looks at methods for storing, querying and updating semi-structured data in both native-XML and object-relational database management systems and the design issues involved.

Outcomes

On successful completion of this unit students should be able to:

  1. explain differences between structured and semi-structured data;
  2. evaluate data management requirements and identify situations that can not be appropriately modelled with the relational data model;
  3. create data repositories for XML documents by applying the concepts of schemas and namespaces in a case study;
  4. apply transformation languages for transforming and repurposing XML data;
  5. apply query languages for navigating and querying an XML data store;
  6. use current Database Management Systems (DBMS) to store, retrieve and update non-relational data;
  7. compare and describe strengths and weaknesses of object-relational and native XML DBMS for handling XML.

Assessment

Examination (2 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Recommended knowledge: Knowledge of relational database.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)

Synopsis

This unit focuses on the design and programming techniques essential for developing distributed software systems and applications - with Java as the teaching language. The unit presents concurrent programming primitives and concepts for distributed systems. The unit also focuses on application of concurrent techniques in distributed system designs. Programming and implementation issues and techniques of distributed applications are studied. Enabling techniques for building distributed systems are analysed and evaluated. Distributed Software Patterns are presented. The unit also includes case studies of distributed programming paradigms and their applications (e.g. JINI, JavaSpaces).

Outcomes

At the completion of this unit, students should be able to:

  • analyse critically and reflect on the concepts and characteristics of distributed and concurrent software;
  • identify and evaluate common distributed and concurrent software designs;
  • design distributed software applications using typical distributed software architectures;
  • write distributed and concurrent software programs.

Assessment

Examination (3 hours): 50%, In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Recommended knowledge: Some exposure to multithreading. Knowledge of all Java language constructs such as loops, conditionals, methods, classes, inheritance and core Java packages. Use of O/O models such as UML diagrams.
Fundamentals of data and computer communication methods and techniques, including ISO and TCP/IP layered protocols.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)

Synopsis

This unit covers the core software engineering disciplines concerned with managing and delivering quality software. Topics include processes, tools and techniques for system validation and verification, including major commercial tools used in industry. It shows how to detect, analyse and control defects in complex software systems. Inspection and testing methodologies, analysis of artefacts, robustness, quality assurance, and advanced software validation and verification methods are covered.

Outcomes

At the completion of this unit students will have -

A knowledge and understanding of:

  • the role of validation and verification methods in the system life cycle; key issues in software testing, testing levels and testing techniques:
  • specification-based: equivalence partitioning, boundary-value analysis, decision table testing, random testing
  • code-based: control-flow testing;
  • fault-based: error seeding, mutation testing;
  • type of apps: Web based, Object-oriented, component testing, testing concurrent/distributed/real-time/embedded systems;
  • selection and combination of techniques; test related measures;
  • evaluation of software under test - fault density, testing coverage metrics.

Developed attitudes that enable them to:

  • adhere to software quality engineering principles;
  • recognise the importance of adhering to software engineering principles of validation and verification in the design and development of test methods;
  • have an understanding of inspection and debugging approaches, configuration management, performance, and quality standards issues;
  • apply validation and verification methods to ensure and improve quality of software systems;
  • measure and evaluate a software system's quality, complexity and reliability using software metrics.

Developed the skills to:

  • use industry-strength IDEs such as Eclipse, NetBeans and IntelliJ and unit testing with JUnit, code coverage tools such as Cobertura, and other similar products to help detect software system defects;
  • conduct continuous integration (CI) at unit, integration and system testing level using a CI server such as Jenkins to automatically run regression test suites on the system under test;
  • be able to analyse and control defects in complex systems.

Assessment

In-semester assessment: 50%; Examination (2 hours): 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 1-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 9 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

((FIT9131 or FIT5131 or FIT9017) and (FIT9132 or FIT5132 or FIT9003 or FIT9019)) or equivalent
Advanced programming in Java; Object-oriented software engineering: UML notation, method and SE process; Basic discrete mathematics: sets, relations, functions, graphs; Project management.

Prohibitions

CSE4431, FIT4004

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)

Synopsis

Modern computer systems contain parallelism in both hardware and software. This unit covers parallelism in both general purpose and application specific computer architectures and the programming paradigms that allow parallelism to be exploited in software. This unit examines both shared memory and message passing paradigms in both hardware and software; concurrency, multithreading and synchronicity; parallel, clustered and distributed supercomputing models and languages. Students will program in these paradigms.

Outcomes

On successful completion of this unit, students should be able to:

  1. explain the principles and techniques behind the design of parallel systems;
  2. describe and distinguish variety of parallel architectures, such as bus-based, massively parallel, cluster, vector; knowledge of a variety of parallel programming paradigms, synchronisation and parallelisation primitives, message passing, data parallel, and tuple space;
  3. design, develop and debug parallel programs using a variety of paradigms, such as locking, concurrency, synchronicity, parallelism, scheduling, and communication across networks.
  4. explain fundamentals of model connection-oriented and connectionless communication in a Client Server architecture;
  5. analyse failure types in a Distributed System for achieving fault tolerance and error recovery within such system;
  6. write a report on new trends in of multi-process algorithms by investigation and analysis of research papers about distributed systems. And communicate their knowledge orally and in written report, so they can express own reflections and attitudes in the area of research;
  7. work independently to analyse a problem and form a plan on how to work towards a solution using distributed programming models to achieve process distribution and communication;
  8. collect and analyse various types of information, and develop practical skills in creating parallel distributed applications;
  9. cooperate effectively within small groups and work in practical design, implementation, and debug in simulated distributed systems;
  10. construct theoretical models and implement them in a virtualised computing environment; and present all their work in practical demonstration.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory/

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Recommended knowledge: operating systems, including synchronisation and interprocess communication mechanisms; advanced computer architecture, including pipelining techniques.

Prohibitions

CSE4333

Additional information on this unit is available from the faculty at:


6 points, SCA Band 3, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Evening)

Synopsis

This unit, together with FIT5057 Project management, and FIT5180 Business and legal issues in project management, gives a full coverage of the main areas of Project Management. These units will give students the knowledge and skills needed to work in project planning, project control, or as an entry level project manager in industry. The emphasis in this unit is on the technical aspects of planning and executing projects. It will also cover the important areas of financial calculations, budgets, and decision making.

Outcomes

On successful completion of this unit students should be able to:

  • prepare project network diagrams and do finite capacity scheduling of projects;
  • do project and activity time compression to prepare quotations and meet due dates;
  • prepare plans, budgets, and control systems for new projects;
  • do quotation, pricing, financial and profit calculations for projects;
  • describe methods of project selection, net present value analysis, decision making, and risk analysis;
  • describe the issues involved with project contract administration;
  • advise on the issues of Quality Management and the ISO 9000 Standards;
  • use modern project management software.

Assessment

Examination (2 hours): 60%, In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Additional information on this unit is available from the faculty at:


6 points, SCA Band 3, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)

Synopsis

This unit, together with FIT5057 Project management, and FIT5178 Applied project management, gives a full coverage of the main areas of Project Management. These units will give students the knowledge and skills needed to work in project planning, project control, or as an entry level project manager in industry. The emphasis in FIT5180 is on the business and legal aspects of planning and executing projects. Project management is a common pathway to higher management in industry. These topics are especially important to students who intend to work as project managers and take part in the sales, contract administration, and strategic planning of an organisation.

Outcomes

On successful completion of this unit, students should be able to:

  • demonstrate financial and accounting calculations for projects, including in depth costing, balance sheet, NPV, IRR, capital budgeting, cash flow, variance analysis;
  • analyse, critique and evaluate the legal issues that occur in project management, including issues business law, contract law, international law, understanding legal project management principles;
  • apply project management principles to the practice of law, litigation matters, managing disputes, administrative and judicial way of solving disputes, contract risk analysis, liability in project management;
  • evaluate and critique the modern theory of entrepreneurship in relation to project management, including evaluation of the types of entrepreneurs, problem faced by entrepreneurs, skills and knowledge necessary for entrepreneurs, innovative start-ups, sources of finance, opportunity recognition, valuation and negotiations, financial and accounting issues.

Assessment

Examination (3 hours): 40%; In-semester assessment: 60%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Study schedule for off-campus students:

Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedSuzhou First semester 2015 (Day)

Notes

This unit is only available to students enrolled in the double award Master International/Master of Information Technology Systems with South East University, China

Synopsis

This unit focuses on the design and programming techniques essential for developing distributed software systems and applications - with Java as the teaching language. The unit presents concurrent programming primitives and concepts for distributed systems. The unit also focuses on application of concurrent techniques in distributed system designs. Programming and implementation issues and techniques of distributed applications are studied. Enabling techniques for building distributed systems are analysed and evaluated. Distributed Software Patterns are presented. The unit also includes case studies of distributed programming paradigms and their applications.

Outcomes

At the completion of this unit students will:

  • understand the concepts and characteristics of distributed and concurrent software;
  • identify and evaluate common distributed and concurrent software designs;
  • design distributed software applications using typical distributed software architectures;
  • write distributed and concurrent software programs.

Assessment

Examination (3 hours): 50%, In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Some exposure to multithreading. Knowledge of all Java language constructs such as loops, conditionals, methods, classes, inheritance and core Java packages. Use of O/O models such as UML diagrams.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedSuzhou First semester 2015 (Day)

Notes

This unit is only available to students enrolled in the double award Master International/Master of Information Technology Systems with South East University, China

Synopsis

This unit introduces main techniques widely used in intelligent software systems to students in the Master of Information Technology Systems course with the Network Computing major. Specifically, it focuses on the techniques in relation to network structures. Main topics covered include neural network models, supervised learning and classification, unsupervised learning and clustering, fuzzy logic, intelligent decision analysis, optimum network flow modelling, and recommender systems.

Outcomes

On completion of this unit students will have a knowledge and understanding of:

  • the applications of intelligent software systems;
  • the principles and theoretical underpinning of intelligent software systems;
  • the models and approaches to building intelligent software systems;
  • the advantages and limitations of intelligent models and approaches for solving a wide range of practical problems;
  • different software toolkits and development environments;
  • current research trends in the field.

Assessment

Examination (3 hours): 70%; In-semester assessment: 30%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Fundamental mathematics

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedSuzhou First semester 2015 (Day)

Notes

This unit is only available to students enrolled in the double award Master International/Master of Information Technology Systems with South East University, China

Synopsis

This unit will review the basic concepts of networking technologies and analyse technological aspects of the wireless network. Main topics will include: antenna and propagation for wireless systems, fundamentals of physical layers used in wireless networks, wireless local area networks (WLAN/WiFi), WiMax systems, mobile network technologies (3G and LTE), mesh networks. Unit will also cover advanced topics in wireless networking.

Outcomes

At the completion of this unit students will be able to:

  • describe the basic characteristics of layered protocol networking model and wireless mobile systems;
  • understand architecture and signal characteristics of cellular communication systems;
  • understand physical and media access control layers used in wireless technologies for signal encoding, spread spectrum and error control;
  • understand architectures of: WiFi, WiMax, and advanced mobile networking systems like LTE as described in relevant standards;
  • understand concepts behind mesh networks analyse advance topics in wireless networking.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory/tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Fundamental knowledge of computer and communication systems

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedSuzhou First semester 2015 (Day)

Notes

This unit is only available to students enrolled in the double award Master International/Master of Information Technology Systems with South East University, China

Synopsis

This unit introduces students to IT research. Specifically, it introduces major research methods that are used by IT researchers including experiments, surveys, case studies, and design science. It also addresses the collection and analysis of quantitative and qualitative data. Students will learn how to effectively communicate research. Skills developed and knowledge acquired from this unit will prepare students to conduct their own research, as well as to be knowledgeable consumers of others' research.

Outcomes

On completion of this unit students will be able to understand:

  • the major philosophies and principles of research;
  • the major research methods used in IT research,;
  • when a particular method is appropriate for a particular project;
  • how to collect and analyse quantitative and qualitative research data;
  • how to communicate research findings to a variety of audiences;
  • how to critically review research designs and literature.

Assessment

In-semester assessment (assignments and class tests): 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour studio/tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

FIT4005, FIT5125, FIT5143, FIT5185

Additional information on this unit is available from the faculty at:


12 points, SCA Band 2, 0.250 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedSuzhou Term 3 2015 (Day)

Notes

This unit is only available to students enrolled in the double award Master International/Master of Information Technology Systems with South East University, China

Synopsis

Module 1: In-depth coverage of the protocols used to operate the Internet and intranets, and a selection of major applications, including specific implementations of the protocols and systems. The topics include: Advanced Internet Addressing: IPv6, subnetting, supernetting. TCP Performance and Enhancements: Reno, New-Reno, Fast Retransmit and Recovery, etc. Unicast and multicast routing protocols: BGP4, OSPF, MOSPF, DVMRP, etc. Messaging systems: SMTP, MIME, POP3, IMAP, World Wide Web systems: client-server implementations, HTTP, Real Time Protocols: RTP, RTCP,RSVP. Security and Firewall. Quality of Service issues: DiffServ and IntServ. Network management and Remote File activities.

Module 2: This unit aims to provide students with fundamental knowledge of network and information security. Topics to be covered include network components and services, network computer systems and security policy, security at different system layers, basic cryptography and information security, information security and communications, intrusion detection system, malicious code and detection and prevention systems, authentication systems, and wireless security.

Outcomes

At the completion of this unit students will:

  • have a well-developed conceptual framework, enabling them to keep pace with developments in the rapidly changing field of network computing;
  • have a thorough understanding of one or more specialised areas of study within network computing;
  • be familiar with using current technology, systems and software relevant to network computing;
  • be able to practise professionally as a network computing specialist;
  • understand the fundamentals of Network Security issues including possible vulnerabilities in a computer system, software and hardware applications;
  • be familiar with basic symmetric and asymmetric cryptography including symmetric and asymmetric crypto systems such as DES, RSA, RC4;
  • understand authentication systems;
  • understand security regime to prevent computer malicious codes such as viruses, logic bombs, etc;
  • be familiar with security design at different levels of OSI model, IPSec, SSL, and security at application layer;
  • understand the need of firewalls, detection and prevention systems.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

10 hrs lectures/wk, 10 hrs tutorials/wk for 5 weeks

See also Unit timetable information

Chief examiner(s)

Additional information on this unit is available from the faculty at:


12 points, SCA Band 2, 0.250 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedSuzhou Term 3 2015 (Day)

Notes

This unit is only available to students enrolled in the double award Master International/Master of Information Technology Systems with South East University, China

Synopsis

This unit focuses on the design and development of Internet applications with a focus on web services technology. The unit presents an overview of multi-tier web applications and technologies that operate in different layers of typical web architectures. In particular, the unit will introduce the emergence of web services from middleware and Enterprise Architecture Integration (EAI), the fundamental concepts of Service Oriented Architectures (SOA), web services and the key standards that underpin web services: SOAP, WSDL and UDDI. Various service discovery protocols will be evaluated and compared. This unit also teaches a range of web application development technologies focusing on state-of-the-art object oriented scripting languages for mobile and conventional web applications. The unit will provide students with skills to enable web page functionality through scripting, to program and deploy web services as well as to access and consume/use web services. It is assumed that all students have a strong knowledge of object-oriented programming.

Outcomes

At the completion of this unit students will have -

  • an understanding of web environments and their components;
  • an understanding of the principles of object oriented scripting and the knowledge of the various uses to which scripting may be put;
  • the knowledge and skills to implement web applications, in an applications development environment;
  • an understanding of the principles of large scale, and small scale, web site development including an understanding of advanced design principles;
  • an understanding of the uses of mark-up languages and meta-languages in structuring data, particularly in a web context;
  • the knowledge and skills to implement web sites varying size and complexity, using XHTML and XML;
  • a professional attitude towards the development of web based information systems.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

10 hrs lectures/wk, 10 hrs laboratories/wk for 5 weeks

See also Unit timetable information

Chief examiner(s)

Prerequisites

It is assumed that all students have a strong knowledge of object-oriented programming, e.g. Java, C# or C++.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 3, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)
Caulfield Second semester 2015 (Day)

Synopsis

This unit together with FIT5057 provides a holistic approach to project management. The emphasis of this unit is on theoretical foundation of project management in global environment, and adequate level of understanding of skills necessary for people to be involved in and managing projects globally. The practical exercises and relevant case studies will familiarize students with as many of current issues/problems/solutions as possible, and thus increase their ability to recognize the potential pitfalls in managing projects globally and provide appropriate solutions for them.

Outcomes

On successful completion of this unit, students should be able to:

  • analyse and evaluate theories and concepts of program and portfolio project management in a global context;
  • assess and synthesise diverse information regarding the ways of achieving maturity in global project management;
  • evaluate innovative ideas and strategies for managing global projects;
  • demonstrate and modify relevant software methodologies in creating and managing project databases;
  • develop professional/personal skills - team work; leadership; ethical behaviour; analytical skills, including lateral problem solving and critical thinking.

Assessment

Examination (3 hours): 40%; In-semester assessment: 60%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Study schedule for off-campus students:

Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study

Co-requisites

FIT5057 or MBA9052

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)
Caulfield First semester 2015 (Online)
Malaysia First semester 2015 (Evening)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

This unit is intended to provide students with a framework for understanding business intelligence systems as well as the provision of high quality, integrated data for decision support through data warehousing. The unit has a particular focus on the evolutionary process of developing a business intelligence system and multi-dimensional modelling for structuring business intelligence data. The unit also presents students with coverage of several important aspects of business intelligence and data warehousing, including architecture, design, implementation, data sourcing, organisational issues and governance. The unit will present this material using relevant research, case studies and practical exercises. Students will develop a prototype business intelligence system using a business intelligence software package.

Outcomes

On successful completion of this unit, students should be able to:

  • describe the scope and application of business intelligence and decision support;
  • design systems for sourcing and structuring data to provide an integrated, non-volatile collection of data for decision support using data warehouses;
  • design multidimensional data models and implement them using star schemas and relational databases;
  • communicate and foster realistic expectations of the role of OLAP technology and business intelligence systems in management and decision support;
  • explain the need for evolutionary development approaches to developing business intelligence and data warehouse systems;
  • develop a simple business intelligence system using an OLAP tool;
  • apply theories and principles of data visualisation to encourage high quality analysis of business information to inform decision making;
  • design governance mechanisms for the development and management of business intelligence and data warehouse systems in an organisation.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour laboratory

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prerequisites

FIT9132 or FIT5132 or FIT9003 or equivalent

Prohibitions

FIT5095, FIT5093

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedNot offered in 2015

Notes

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.

Synopsis

This unit introduces tools and techniques for data wrangling. It will cover different data types and formats, data cleansing and pre-processing for analytics, for instance the handling of bad data, data structures used for efficient analytics, and efficient data storage. It will also cover SQL and NOSQL in-memory distribution, text mining, web analytics. Basic NLP Python will be used for implementation and case studies will be drawn from industry.

Outcomes

On successful completion of this unit, it is expected that student should be able to:

  1. describe different data-types, formats and structures;
  2. demonstrate pre-processing (cleansing) data for advanced analytics;
  3. programme the use of distributed and in-memory SQL and NOSQL and streaming;
  4. demonstrate how to handle multiple, disparate data types and combine them for analysis;
  5. demonstrate how to pre-process text data and web analytics and produce linguistic artifacts for analysis;
  6. integrate a variety of tasks into a data wrangling pipeline.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 144 hours per semester comprising:

(a.) Contact hours for on-campus students:

  • Two hours/week lectures
  • Two hours/week laboratories

(b.) Contact hours for Monash Online students:

  • Two hours/week online group sessions
  • Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

(c.) Additional requirements (all students):

  • A minimum of 8 hours per week of personal study (22 hours per week for Monash Online students) for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

See also Unit timetable information

Prerequisites

(FIT5131 or FIT9131) and (FIT5132 or FIT9132)
Students should have a basic knowledge of Python.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedMonash Online Teaching Period 6 2015 (Online)

Notes

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.

Synopsis

This unit explores the statistical modelling foundations that underlie the analytic aspects of Data Science. Motivated by case studies and working through real examples, this unit covers the mathematical and statistical basis with an emphasis on using the techniques in practice. It introduces data collection, sampling and quality. It considers analytic tasks such as statistical hypothesis testing and exploratory versus confirmatory analysis. It presents basic probability distributions, random number generation and simulation as well as estimation methods and effects such as maximum likelihood estimators, Monte Carlo estimators, Bayes theorem, bias versus variance and cross validation. Basic information theory and dependence models such as Bayesian networks and log-linear models are also presented, as well as the role of general modelling such as inference and decision making, predictive models, experts and assessing probabilities.

Outcomes

Upon successful completion of this unit, it is expected that students will be able to:

  1. perform the general roles of exploratory, confirmatory and decision analysis applied to data;
  2. explain how the source of data affects analysis;
  3. summarise the role of domain experts in supporting analysis and the difficulties they may have;
  4. implement a computational model for statistical analysis of simple problems and evaluate the results;
  5. conduct statistical analysis using the concepts of entropy, likelihood, correlation, and independence;
  6. interpret the challenges involved in estimation from data;
  7. describe basic methods of random sampling, simulation, and hypothesis testing.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 144 hours per semester comprising:

  1. Contact hours for on-campus students:
    • Two hours/week lectures
    • Two hours/week laboratories
  2. Contact hours for Monash Online students:
    • Two hours/week online group sessions.
    • Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.
  3. Additional requirements (all students):
    • A minimum of 8 hours per week of personal study (22 hours per week for Monash online students) for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Students need to have the equivalent of first year undergraduate university mathematics as taught in an analytics degree such as Engineering, Finance, Physics and some Computer Science degrees.


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedNot offered in 2015

Notes

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.

Synopsis

This unit introduces the problem of machine learning and the major kinds of statistical learning used in data analysis. Learning and the different kinds of learning will be covered and their usage discussed. Evaluation techniques and typical application contexts will presented. A series of different models and algorithms will be presented in an exploratory way: looking at typical data, the basic models and algorithms and their use: linear and logistic regression, support vector machines, Bayesian networks, decision trees, random forests, k-means and clustering, neural-networks, deep learning, and others. Finally, two specialist topics will be covered briefly, statistical learning theory and working with big data.

Outcomes

On successful completion of this unit, students should be able to:

  1. describe what machine learning is;
  2. differentiate kinds of statistical learning models and algorithms;
  3. evaluate a machine learning algorithm in typical contexts;
  4. describe and apply the major models and algorithms for statistical learning;
  5. identify the most competitive algorithms for typical contexts;
  6. compare and contrast the differences between big data applications and regular applications of algorithms;
  7. describe the theoretical limits of learning.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 144 hours per semester comprising:

(a.) Contact hours for on-campus students:

  • Two hours/week lectures
  • Two hours/week laboratories

(b.) Contact hours for Monash Online students:

  • Two hours/week online group sessions
  • Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

(c.) Additional requirements (all students):

  • A minimum of 8 hours per week of personal study (22 hours per week for Monash Online students) for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

See also Unit timetable information

Prerequisites


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedPrato Summer semester A 2015 (Flexible)

Synopsis

This unit introduces students to the field of community informatics and provides them with the theoretical and practical foundations required to understand, assess and implement digital and information technologies, IKM, recordkeeping and archival systems, and social media in community settings. Students will learn how to assist communities to develop information and IT policy and strategy frameworks, to build community IT and IKM capacity, and to engage with processes that determine policy development and service delivery. The unit will focus on how community informatics expertise can support communities to achieve better and more sustainable health, education and environmental outcomes, make more effective use of community and government services, and overcome physical, mental, cultural, or social disadvantage. Topics include: theoretical frameworks; community knowledge production and sharing; information access; the use of information technologies and IKM systems in community settings; community archiving; participatory methods and working with communities; underlying values of projects, ethical approaches and ethical dilemmas; and project design and development.

Outcomes

On successful completion of this unit, students should be able to:

  • describe and critically evaluate the main theoretical frameworks within which community informatics operates;
  • explain the nature and purpose of participatory methods in community informatics projects;
  • critically evaluate and apply understandings of the values and ethical issues that arise in the design and implementation of community informatics projects;
  • design and deliver community informatics projects across a broad spectrum of IKM practise and systems, including community archiving, data archiving, data management, information systems and knowledge management;
  • evaluate community informatics projects.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

  1. Contact hours for on-campus students:
    • Two hours lectures
    • Two hours laboratories

  1. Study schedule for off-campus students:
    • Off-campus students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

  1. Additional requirements (all students):
    • A minimum of 8 hours of personal study per week for completing lab/tutorial activities, assignments, private study and revision.

See also Unit timetable information


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedPrato Summer semester A 2015 (Flexible)

Synopsis

Informatics, the science of information, plays an increasingly central role in the work museums, libraries and other cultural heritage institutions that act to preserve, study, and promote cultural heritage. Heritage informatics for the digital humanities brings a comprehensive, cross-disciplinary approach to the challenge of managing cultural information, from data capture to analysis and dissemination.

This course is designed to respond to emerging technologies that have transformed the ways cultural heritage data can be interpreted, managed and analysed. Students will learn about perceptions of heritage and the principles and best practices of the discipline. Then, through a study of key technological innovations (mobile data, digital mapping and storytelling, 3D and augmented reality) and case studies, students will gain insight into how to build applications and digital user experiences for a variety of cultural heritage contexts.

Outcomes

On successful completion of this unit, students should be able to:

  • critically evaluate established and emerging technologies and analyse their effectiveness in relation to heritage data management;
  • assess the impact of informatics on heritage data management;
  • develop methods to investigate case studies that have applied informatics for the capture, analysis and dissemination of heritage data;
  • identify key heritage issues that informatics can be used to illuminate, interpret and reveal;
  • evaluate scenarios that extend informatics to broader heritage research/studies;
  • identify the need to adapt informatics according to heritage data management, principles and best practice;
  • analyse how informatics applications and technologies can be used to interpret diverse heritage data contexts;
  • report on the most appropriate application of informatics for specific case studies

evaluate the relevant effectiveness and impact of informatics on heritage data.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 144 hours per semester comprising:

  1. Contact hours for on-campus students:
    • Two hours lectures per week
    • Two hours laboratories per week

  1. Contact hours for block/flexible teaching at Prato:
    • 4 hours lectures per week for 6 weeks,
    • 2 hours seminars/tutorials per week for 6 weeks
    • 4 hours per week organised field trips and excursions for 3 weeks

  1. Study schedule for off-campus students:
    • Off-campus students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

  1. Additional requirements (all students):
    • A minimum of 8 hours (16 hours for block teaching at Prato) of personal study per week for completing lab/tutorial activities, assignments, private study and revision.

See also Unit timetable information


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)

Synopsis

This unit is a research/thesis unit for FIT Masters (Honours) degrees, taken in the final stage of the Masters (Honours) course.

Before enrolling in the unit, students need to have reached agreement with a potential supervisor about a research area/feasible research topic for their Minor Thesis project.

Outcomes

On completion of the Masters thesis units, students should be able to:

  1. design a rigorous Masters level research project and develop project proposal;
  2. critically review research literature, research design and reported findings;
  3. evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  4. conduct ethical research;
  5. communicate research findings in written and oral form in research and industry settings.

Assessment

At the completion of the requirements for the thesis the following components of assessment will be completed:

Research Proposal: 5%; Literature Review: 10%; Interim Presentation: hurdle; Final Presentation: 5%; Thesis (normally 10,000 - 20,000 words): 80%

These assessment tasks will be completed over the course of several units in the Minor Thesis program but the overall grade for the thesis will only be finalised on completion of FIT5554 (24pts).

Workload requirements

Minimum total expected workload equals 12 hours per week. Students will be expected to hold regular meetings with supervisor(s) over the course of the semester.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Students must be enrolled in a Faculty of IT Masters (Honours) degree.

Co-requisites

FIT4005 or FIT5185

Prohibitions

FIT5014, FIT5016, FIT5017, FIT5018

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)

Synopsis

This unit is a research/thesis unit for FIT Masters (Honours) degrees, taken in the final stage of the Masters (Honours) course.

Before enrolling in the unit, students need to have reached agreement with a potential supervisor about a research area/feasible research topic for their Minor Thesis project.

Outcomes

On completion of the Masters thesis units, students should be able to:

  1. design a rigorous Masters level research project and develop project proposal;
  2. critically review research literature, research design and reported findings;
  3. evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  4. conduct ethical research;
  5. communicate research findings in written and oral form in research and industry settings.

Assessment

At the completion of the requirements for the thesis the following components of assessment will be completed:

Research Proposal: 5%; Literature Review: 10%; Interim Presentation: hurdle; Final Presentation: 5%; Thesis (normally 10,000 - 20,000 words): 80%

These assessment tasks will be completed over the course of several units in the Minor Thesis program but the overall grade for the thesis will only be finalised on completion of FIT5554 (24pts).

Workload requirements

Minimum total expected workload equals 12 hours per week. Students will be expected to hold regular meetings with supervisor(s) over the course of the semester.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Students must be enrolled in a Faculty of IT Masters (Honours) degree.

Co-requisites

Prohibitions

FIT5014, FIT5016, FIT5017, FIT5018

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)

Synopsis

This unit is a research/thesis unit for FIT Masters (Honours) degrees, taken in the final stage of the Masters (Honours) course.

Before enrolling in the unit, students need to have reached agreement with a potential supervisor about a research area/feasible research topic for their Minor Thesis project.

Outcomes

On completion of the Masters thesis units, students should be able to:

  1. design a rigorous Masters level research project and develop project proposal;
  2. critically review research literature, research design and reported findings;
  3. evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  4. conduct ethical research;
  5. communicate research findings in written and oral form in research and industry settings.

Assessment

At the completion of the requirements for the thesis the following components of assessment will be completed:

Research Proposal: 5%; Literature Review: 10%; Interim Presentation: hurdle; Final Presentation: 5%; Thesis (normally 10,000 - 20,000 words): 80%

These assessment tasks will be completed over the course of several units in the Minor Thesis program but the overall grade for the thesis will only be finalised on completion of FIT5554 (24pts).

Workload requirements

Minimum total expected workload equals 12 hours per week. Students will be expected to hold regular meetings with supervisor(s) over the course of the semester.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Students must be enrolled in a Faculty of IT Masters (Honours) degree.

Co-requisites

Prohibitions

FIT5014, FIT5016, FIT5017, FIT5018

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)

Synopsis

This unit is a research/thesis unit for FIT Masters (Honours) degrees, taken in the final stage of the Masters (Honours) course.

Before enrolling in the unit, students need to have reached agreement with a potential supervisor about a research area/feasible research topic for their Minor Thesis project.

Outcomes

On completion of the Masters thesis units, students should be able to:

  1. design a rigorous Masters level research project and develop project proposal;
  2. critically review research literature, research design and reported findings;
  3. evaluate and select research methods and techniques of data collection and analysis appropriate to particular research designs, projects and disciplines;
  4. conduct ethical research;
  5. communicate research findings in written and oral form in research and industry settings.

Assessment

At the completion of the requirements for the thesis the following components of assessment will be completed:

Research Proposal: 5%; Literature Review: 10%; Interim Presentation: hurdle; Final Presentation: 5%; Thesis (normally 10,000 - 20,000 words): 80%

These assessment tasks will be completed over the course of several units in the Minor Thesis program but the overall grade for the thesis will only be finalised on completion of FIT5554 (24pts).

Workload requirements

Minimum total expected workload equals 12 hours per week. Students will be expected to hold regular meetings with supervisor(s) over the course of the semester.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Students must be enrolled in a Faculty of IT Masters (Honours) degree.

Co-requisites

Prohibitions

FIT5014, FIT5016, FIT5017, FIT5018

Additional information on this unit is available from the faculty at:


0 points, SCA Band 2, 0.000 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2015 (Day)
Clayton Second semester 2015 (Day)
Malaysia Second semester 2015 (Day)

Notes

Students enrolled in FIT6021 may be required to travel to either Caulfield or Clayton for workshops.

Synopsis

The aim of the unit is to prepare PhD candidates from the Faculty of IT to conduct research across the range of the disciplines that cover Information and Communication Technology (ICT) research, including computer science, software engineering, at the technical end, and organisational and social informatics, which address societal needs in ICT. This unit is compulsory for all students enrolled in the FIT PhD program.

The unit comprises five workshops, which address the broad philosophical, methodological and ethical underpinnings of conducting research in ICT, as well as classical and modern approaches to designing data collection and analysis for rigorous and sophisticated ICT research studies. Students have the option to choose from a list of available workshops.

Outcomes

Upon successful completion of this unit, students should be able to:

  • design rigorous and ethical research studies;
  • conduct high quality independent ICT research;
  • assess research design across a range of research strategies and paradigms;
  • consider and evaluate appropriate data collection instruments, and sampling strategies to fit the research purpose;
  • understand the key principles of ethical and professional research conduct;
  • understand the key principles of research presentation.

Assessment

In semester assessment: 100%

Each workshop will include an associated assessable task, which will comprise a portfolio of results to contribute 20% to the final assessment. These will comprise written and oral presentations to be performed individually and/or in groups. To pass this unit, students must achieve at least a total mark of 70% from five workshops, and must achieve at least 50% in each workshop.

Workload requirements

Each workshop has seven hours of face-to-face contact plus 24 hours of individual study time per semester.

See also Unit timetable information

Chief examiner(s)

Co-requisites

FIT5143 or equivalent


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)

Synopsis

This unit will develop the basic concepts of website authoring, from design to implementation. Students will develop skills in creating digital content which is authored to deal with the particular issues of web publishing. The unit will examine HTML/XHTML, Cascading Style Sheets (CSS), the W3C Document Object Model (DOM) and JavaScript as the fundamental website authoring suite. In addition HTML embedded script languages will be used to create dynamic database driven content. The unit will also introduce wider W3C standards, web usability and web design specification.

Outcomes

On successful completion of this unit, students should be able to:

  1. code web pages using a full range of client-side technologies including: HTML, HTML5, CSS and JavaScript;
  2. use a range of software tools for development of a website and make the pages available by uploading them to a server;
  3. explain and implement key JavaScript programming concepts including: control structures, variables, functions and events;
  4. deliver optimised digital media online including: images, audio, and video;
  5. describe the role of internet standards and protocols, in particular the importance of the World Wide Web Consortium (W3C);
  6. critique a company website for user experience design for accessibility according to W3C standards;
  7. write a proposal for a web development project including detailed planning of the technical implementation, visual design and costing all aspects of the process;
  8. work in a team with differentiated roles to create and publish a complex website.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

FIT1012, MMS1402, MMS9401
Not available to Faculty of Information Technology students.

Additional information on this unit is available from the faculty at:


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)
Caulfield First semester 2015 (Online)
Malaysia First semester 2015 (Evening)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)

Synopsis

The unit provides a basic introduction to fundamental information systems concepts including basic business concepts, information technology strategy and governance, sourcing, the different kinds of IT systems at both enterprise and desktop scales, introduction to architectures and professional practice and introductory project management.

Outcomes

On successful completion of this unit, students should be able to:

  • discuss key considerations of strategic business contexts relevant to managing IT resources in an organisation;
  • evaluate common business processes and the role IT can play in managing these processes;
  • apply a generic model of the systems development lifecycle to plan and manage deliverables and milestones during information systems design and development;
  • discuss contract development and select an appropriate sourcing strategy for provisioning information systems;
  • analyse factors relevant to managing small to medium-sized projects for in-house or contract software development, software outsourcing, package acquisition and implementation;
  • identify the requirements for ongoing management of IT infrastructure in an organisation;
  • discuss key considerations in strategically planning for technological innovation to meet the short and long-term business objectives of an organisation;
  • discuss ethical and professional issues relevant to members of the IT profession;
  • discuss ethical issues related to the management and use of IT in organisations.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour studio

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and studio sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

FIT9006, FIT5123


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Caulfield Second semester 2015 (Evening)
Caulfield Second semester 2015 (Online)
Malaysia Second semester 2015 (Evening)

Synopsis

This unit introduces students to the key principles which underlie the analysis and design of information systems to support business and other organisational undertakings. It covers design and design thinking, requirements elicitation, consulting skills and conceptual and logical systems modelling.

Outcomes

On successful completion of this unit, students should be able to:

  • select and use conceptual and logical modelling techniques to design an information system;
  • select and use techniques to elicit requirements for an information system design;
  • select and use approaches to the systems development lifecycle including the waterfall model and modern alternatives;
  • assess and discuss the capabilities and limitations of an information system;
  • communicate the requirements for the business functionality of an information system in terms of data required, data storage and processing to technical and non-technical stakeholders.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour studio

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and studio sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

FIT9030, FIT5130


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield First semester 2015 (Online)
Malaysia First semester 2015 (Evening)
Caulfield Second semester 2015 (Evening)
Caulfield Second semester 2015 (Online)

Synopsis

This unit aims to provide students with the basic concepts involved in the development of well structured software using a programming language. It concentrates on the development of problem solving skills applicable to all stages of the development process. Students gain experience with the translation of a problem specification into a program design, and the implementation of that design into a programming language. The unit introduces software engineering topics such as maintainability, readability, testing, documentation, modularisation, and reasoning about correctness of programs. Students are expected to read and understand existing code as well as develop new code.

Outcomes

On successful completion of this unit students should be able to:

  • design, construct, test and document small computer programs using Java;
  • interpret and demonstrate software engineering principles of maintainability, readability, and modularisation;
  • explain and apply the concepts of the "object-oriented" style of programming.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour laboratory

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

FIT9004, FIT9017, FIT5131


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)
Caulfield First semester 2015 (Online)
Caulfield Second semester 2015 (Day)
Caulfield Second semester 2015 (Online)
Malaysia Second semester 2015 (Evening)

Synopsis

This unit will introduce the concept of data management in an organisation through relational database technology. Theoretical foundation of relational model, analysis and design, implementation of relational database using SQL will be covered.

Outcomes

At the completion of this unit, students should be able to:

  • explain the motivations behind the development of database management systems;
  • describe the underlying theoretical basis of the relational database model and apply the theories into practice;
  • evaluate several design options and construct a database design;
  • develop a database based on a sound database design;
  • construct queries that meet user requirements;
  • contrast the differences between non-relational database models and the relational database model.

Assessment

Examination (2 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour laboratory

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and lab sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

FIT9003, FIT9019, FIT5132


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Evening)

Synopsis

This unit introduces students to the fundamentals of computer systems and the computing environment, using Linux as a case study of a modern operating system. Topics covered include: CPU, memory, storage devices, peripheral hardware, networking fundamentals, operating systems fundamentals, practical Linux considerations including Desktop and Enterprise applications, file systems, shell scripting, client/server applications and system administration.

Outcomes

On completion of this unit, students should be able to:

  • examine and describe computer hardware and software architectures;
  • explain the three major functions of an operating system (OS), namely, process management, memory management, and file management;
  • explain network technologies;
  • write Unix commands for file management;
  • apply Unix commands to interact with OS;
  • develop Unix shell scripts;
  • manage usage and administration of Linux systems; and
  • deploy Linux in personal and enterprise contexts.

Assessment

Examination (2 hours): 60%; In-semester assessment: 40%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • One 1-hour lecture
  • One 3-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

FIT9018, FIT5134


6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2015 (Evening)
Caulfield Second semester 2015 (Day)

Synopsis

The unit will introduce students to fundamentals of data and computer communications method and techniques. It covers: ISO and TCP/IP layered protocols; physical layer concepts: data transmission methods, signal encoding and digital data communication techniques; data link control protocol, multiplexing methods; WAN and LAN networking fundamentals; internetworking and transport protocols.

Outcomes

At the completion of this unit, students should be able to:

  • describe the underlying fundamental theories and models of transmitting data across a communication channel;
  • identify and describe the concepts and theories of standard network protocols;
  • describe the functions and architectures of LAN and WAN;
  • evaluate several different design options and formulate a simple network design.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Prohibitions

FIT9020, FIT5135