Overview

This unit will broaden your exposure to the toolkit of applied mathematics techniques required to tackle various problems encountered in real-world modelling. Building on the prerequisite knowledge of linear algebra and multivariable calculus, you will learn methods for reducing real world problems into mathematical ones. You will then learn a … For more content click the Read More button below.

Offerings

S2-01-CLAYTON-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Professor Andreas Ernst

Unit Coordinator(s)

Professor Andreas Ernst

Notes

IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Learning outcomes

On successful completion of this unit, you should be able to:
1.

Understand specific basic knowledge and display key technical skills in optimisation, model fitting, dynamical systems, and partial differential equations, and their applications;

2.

Develop, apply, integrate and generate knowledge through abstraction and by using high-level critical thinking skills to analyse and solve mathematical problems;

3.

Apply knowledge of mathematics and sound mathematical modelling to a range of applications across science, medicine, economics or engineering;

4.

Collect, organise, analyse and interpret quantitative information meaningfully, using mathematical and/or statistical tools as appropriate to the sub-discipline of specialisation;

5.

Demonstrate skills in the written and oral presentation of a mathematical argument that enable mathematical concepts, processes and results to be communicated effectively to diverse audiences;

6.

Work both individually and collectively with staff and colleagues on the synthesis of mathematical knowledge and the application of mathematical skills to problem solving.

Teaching approach

Active learning

Assessment

1 - In-semester assessment
2 - Examination (3 hours and 10 minutes)

Scheduled and non-scheduled teaching activities

Applied sessions
Lectures

Workload requirements

Workload

Other unit costs

Costs are indicative and subject to change.
Miscellaneous items required (Unit course reader, Printing, Stationery) - $120.

Availability in areas of study

Applied mathematics
Mathematical statistics
Mathematics