Monash University Handbook 2016 Postgraduate - Units

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

1. Understand the range of complex environmental, social and economic interrelationships that shape a particular region and to be able to differentiate a cultural landscape from a natural landscape.
2. Understand the criteria and processes that lead to the designation of a World Heritage Area and to be able to identify, describe and interpret problems of sustainability in the context of a region of truly global significance.
3. Have gained practical experience in problem formulation and solution using field-based techniques of survey and analysis, along with appropriate presentation skills.
4. (In the case of Level 4 students) have developed specialised skills in research/project formulation, appraisal, budgeting and implementation strategies.

On compeltion of this unit students will be able to:

1. To understand the major concepts and principles of remote sensing and digital image processing for environmental studies;
2. To identify the types of information that can be extracted from remotely sensed data on the environment;
3. To understand, explain and apply the fundamental image interpretation elements (e.g., tone, texture, size, shape, pattern, site and association);
4. To visually interpret aerial photos and satellite images;
5. To conduct digital image processing and analysis using a digital image processing system to extract information;
6. To understand how remotely sensed data are applied in environmental applications.

On completion students will be able to:

1. appreciate urban climate knowledge and the critical role of water in the urban environment;
2. be able to apply climate knowledge to issues of urban sustainability and adaptation to climate change;
3. have gained practical experience in problem formulation and solution, and in addition;
4. Level 4 students will have developed specialised skills in research/project formulation.

Upon successful completion, students will be able to:

1. Understand the fundamental principles of GIS;
2. Comprehend the nature of spatial data and their importance in environmental science
3. Identify environmental problems that can be solved with GIS;
4. Grasp basic GIS skills;
5. Demonstrate a high level of skills in the use of GIS software (ArcGIS);
6. Design GIS-based solutions to environmental problems.

On completion of this unit students will be able to:

1. Develop specialised mathematical knowledge and skills within the field of stochastic calculus.
2. Understand the complex connections between financial and probabilistic concepts.
3. Apply sophisticated stochastic modelling skills within the context of financial markets.
4. Apply critical thinking to problems in stochastic calculus and financial mathematics.
5. Apply problem solving skills within the finance context.
6. Formulate expert solutions to practical financial problems using specialised cognitive and technical skills within the field of stochastic calculus.
7. Communicate complex information in an accessible format to a non-mathematical audience.

On completion of this unit students will be able to:

1. Develop specialised mathematical knowledge and skills within the theory of martingales.
2. Apply sophisticated stochastic modelling skills within a variety of contexts, from population biology to finance to management science, and more.
3. Apply critical thinking to problems in discrete-time stochastic processes in general, and in the theory of discrete-time martingales in particular.
4. Formulate expert solutions to practical financial, engineering or scientific problems using specialised cognitive and technical skills within the theory of discrete-time martingales.

On completion of this unit students will be able to:

1. Develop specialised mathematical knowledge and skills within the theories of markov chains and random walks.
2. Apply sophisticated stochastic modelling skills within a variety of contexts, from a wide range of scientific areas of knowledge.
3. Apply critical thinking to problems in Markov chains in general, and in the theory of random walks in particular.
4. Formulate expert solutions to practical financial, engineering or scientific problems using specialised cognitive and technical skills within the theories of markov chains and random walks.

On completion of this unit students will be able to:

1. Develop specialised mathematical knowledge and skills within the fields of partial differential equations and probability theory.
2. Understand the complex connections between specialised financial and mathematical concepts.
3. Apply critical thinking to problems in partial differential equations that relate to financial derivatives.
4. Apply critical thinking to problems in probability theory that relate to risk management.
5. Apply problem solving skills within the finance context.
6. Formulate expert solutions to practical financial problems using specialised cognitive and technical skills within the fields of partial differential equations and probability theory.
7. Communicate complex information in an accessible format to a non-mathematical audience.

On completion of this unit students will be able to:

1. Develop specialised mathematical knowledge and skills within the field of stochastic calculus.
2. Understand the complex connections between financial and probabilistic concepts.
3. Apply sophisticated stochastic modelling skills within the context of interest rate modelling.
4. Apply critical thinking to problems in interest rate modelling.
5. Formulate expert solutions to practical financial problems using specialised cognitive and technical skills within the field of stochastic calculus.
6. Communicate complex information in an accessible format to a non-mathematical audience.

On completion of this unit students will be able to:

1. Develop specialised mathematical knowledge and computational skills within the fields of partial differential equations and probability theory.
2. Understand the complex connections between specialised financial and mathematical concepts.
3. Apply critical thinking to problems in partial differential equations that relate to financial derivatives.
4. Apply computational problem solving skills within the finance context.
5. Formulate expert solutions to practical financial problems using specialised cognitive and technical skills within the fields of partial differential equations and probability theory.
6. Communicate complex information in an accessible format to a non-mathematical audience.

On completion of this unit students will be able to:

1. Develop specialised statistical knowledge and skills within the field of statistical learning.
2. Understand the complex connections between specialised financial and mathematical concepts.
3. Apply critical thinking to problems in statistical learning that relate to financial models.
4. Apply estimation and calibration solving skills within the finance context.
5. Formulate expert solutions to practical financial problems using specialised cognitive and technical skills within the fields of statistical learning.
6. Communicate complex information in an accessible format to a non-mathematical audience.

On completion of this unit students will be able to:

1. Develop specialised financial skills within the fields of statistics and probability theory.
2. Understand the complex connections between specialised financial and mathematical concepts.
3. Apply critical thinking to problems in statistics and probability that relate to financial markets.
4. Apply problem solving skills within the finance context.
5. Formulate expert solutions to practical financial problems using specialised cognitive and technical skills within the fields of statistics and probability.
6. Communicate complex information in an accessible format to a non-mathematical audience.

The placement will enable students to

1. Put into practice financial thinking, modelling techniques and mathematical and statistical skills acquired throughout the programme;
2. Analyse financial and/or insurance data using tools developed throughout the programme;
3. Construct models and solutions in specific settings relating to financial and/or insurance problems;
4. Recommend solutions to real-life problems in finance and related areas;
5. Design solutions to real-life problems in finance and related areas based on financial thinking, modelling techniques and mathematical and statistical skills acquired throughout the programme to;
6. Exhibit effective reporting and writing skills in the context of a workplace.

At the end of this capstone unit, students are expected to gain graduate placements in relevant industries.

The placement will enable students to

1. Put into practice financial thinking, modelling techniques and mathematical and statistical skills acquired throughout the programme;
2. Analyse financial and/or insurance data using tools developed throughout the programme;
3. Construct models and solutions in specific settings relating to financial and/or insurance problems;
4. Recommend solutions to real-life problems in finance and related areas;
5. Design solutions to real-life problems in finance and related areas based on financial thinking, modelling techniques and mathematical and statistical skills acquired throughout the programme;
6. Exhibit effective reporting and writing skills in the context of a workplace.

At the end of this capstone unit, students are expected to gain graduate placements in relevant industries.

On completion of the course, students will have demonstrated a high-level of understanding of the key theoretical and practical aspects of their chosen discipline, including to:

1. be able to critically review the scientific literature in their specialist area of study;
2. understand the processes involved in the design, development and implementation of a relevant research project;
3. be able to complete and analyse a set of laboratory-based, computer-based, field-based, theoretical or other appropriate studies;
4. be proficient in data acquisition, critical analysis of results, appropriate presentation, and scientific word processing;
5. demonstrate communication skills in both oral and written presentations to both a specialist and a non-specialist scientific audience, including the ability to write and present scientific work in a potentially publishable way;
6. have acquired a range of advanced technical skills appropriate to their area of study;
7. have demonstrated the capability to perform a variety of scientific procedures and techniques that are essential to the satisfactory completion and reporting of a research project;
8. have acquired, where appropriate, sound knowledge of OHSE regulations, including hazardous and dangerous materials and risk assessments;
9. have developed, where appropriate, an awareness of the ethical approval processes required when working with humans or animals;
10. have demonstrated potential to pursue higher studies and learning in their area of study;
11. have gained insight into the breadth and diversity of their discipline and its place within the broader scope of science.

On completion of the unit, students:

1. will understand experimental design and sampling methods relevant to their research project;
2. can tailor research design and experimental protocols, giving consideration to available resources, occupational health, safety and environment requirements and research ethics;
3. can critically analyse articles from the scientific literature;
4. can present scientific ideas and the results of their research (orally and in writing) clearly and effectively, choosing appropriate materials and presentation styles for general and scientific audiences;
5. can manage their work requirements, both independently and as a member of a team;
6. will have demonstrated an ability to apply the University's Occupational Health, Safety and Environmental requirements appropriately within the context of their research discipline;
7. will have demonstrated an ability to apply the University's requirements regarding the ethics of conducting research on humans and/or animals appropriately within the context of their research discipline.