units

FIT5047

Faculty of Information Technology

18 September 2017 22 November 2024
Monash University

Postgraduate - Unit

This unit entry is for students who completed this unit in 2014 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.

print version

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, or view unit timetables.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield First semester 2014 (Day)
Caulfield Second semester 2014 (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 will have -

A knowledge and understanding of:

  • the applications of intelligent software systems;
  • the principles and theoretical underpinning of intelligent software systems;
  • models and approaches to building intelligent software systems;
  • different software toolkits and development environments;
  • current research trends in the field.

Developed attitudes that enable them to:

  • foster critical and independent analysis of how intelligent techniques can be used to enhance software applications and the development of smart environments.

Developed the skills to:

  • design and develop intelligent applications;
  • select and apply appropriate tools for a particular application.

Assessment

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

Chief examiner(s)

Dr Kevin Korb

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.

Prerequisites

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:

http://www.infotech.monash.edu.au/units/fit5047/