Introduction
This unit teaches students skills and techniques that are used to answer practical questions arising in Operations Research. These questions typically also arise in Engineering, Management, Finance, Economics, and Teaching. For example, How long do I expect to have to wait for the next bus? How should I balance the products my factory makes, to maximise my profit? and What is the best way to send electricity from this set of power stations to these homes, to minimise power loss? Operations Research includes the solution of optimization problems, modelling, and simulation. This unit provides necessary background in probability and graph theory, and then using those tools introduces students to methods in modelling stochastic systems as Discrete Time Markov Chains, and analysing their expected behaviour. It also gives students tools, such as the Simplex Method, to solve Linear Programming optimization and Transportation problems, and heuristic methods to solve computationally intractable problems like the Travelling Salesman Problem. This unit is a required component of the Statistics and Decision Science major in the BSc.
Summary
| Unit name | Operations Research 2 |
| Unit code | KMA255 |
| Credit points | 12.5 |
| College/School | Sciences and Engineering School of Natural Sciences |
| Discipline | Mathematics |
| Coordinator | Professor Michael Charleston |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
| Level | Intermediate |
Availability
Specific information on 2027 unit availability will be available in August
Learning Outcomes
- Explain and apply fundamentals of probability and graph theory relevant to operations research.
- Analyse short- and long- term behaviour of discrete time Markov chains.
- Solve problems in linear programming using standard techniques.
- Select and apply standard heuristic methods to computationally intractable problems in operations research.
- Interpret and communicate mathematical arguments using appropriate terminology and notation, as they relate to problems in operations research.
Fee Information
2027 fee information will be available in August.
Requisites
Prerequisites
Any KMA unitTeaching
| Teaching Pattern | 3 x 1-hr lectures, 1 x 1-hr tutorial, 1x 1-hr workshop / computer lab |
|---|---|
| Assessment | Quiz 1: Probability and Basics of Graphs (5%)|Assignment 1 (10%)|Assignment 2 (10%)|Lab exercises (10%)|Tutorial Exercises (10%)|Quiz 2: Discrete Time Markov Chains (15%)|Examination (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.