MTH3310 - Applied mathematical modelling - 2017

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

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



Organisational Unit

School of Mathematical Sciences


Dr Mark Flegg

Unit guides



  • Second semester 2017 (Day)


This unit will broaden students' 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, students will learn methods for solving optimization problems, fitting models to data, stochastic modelling, discrete event simulation, and some elementary queueing theory. Application areas include traffic modelling, image processing, inventory management, logistics and other industrial problems that students will have the opportunity to consider. Assessment will include working in teams to solve real-world problems, and presenting the results to the client.


On completion of this unit students will be able to:

  1. Understand specific basic knowledge and display key technical skills in optimisation, model fitting, simulation, and queueing theory, 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.


Examination (3 hours): 60% (Hurdle)

Continuous assessment: 40%

Hurdle requirement: To pass this unit a student must achieve at least 50% overall and at least 40% for the end-of-semester exam.

Workload requirements

One 1-hour lecture , one 2-hour lecture and one 2-hour support class per week

See also Unit timetable information

Chief examiner(s)

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


Students must be enrolled in the Master of Financial Mathematics or have passed one of the following units: MTH2032, MTH2040 and one of MTH2021, MTH2025