Hobart
Introduction
This unit develops skills in the modelling and optimization of real-life deterministic or probabilistic systems and is particularly useful for students interested in careers in Statistics, Operations Research, Engineering, Management, Finance, Economics and Teaching.Topics from: Dynamic Programming and Probabilistic Operations Research Models, with the focus on developing the ability to solve practical problems using MATLAB and other numerical tools. Deterministic Dynamic Programming Probability, Probabilistic Dynamic Programming, Markov Chains Theory and Simulation.
Summary 2021
Unit name | Operations Research 3 |
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Unit code | KMA355 |
Credit points | 12.5 |
Faculty/School | College of Sciences and Engineering School of Natural Sciences |
Discipline | Mathematics |
Coordinator | |
Teaching staff | Dr Malgorzata O’Reilly |
Level | Advanced |
Available as student elective? | Yes |
Breadth Unit? | No |
Availability
Note
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TNE Program units special approval requirements.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Fees
Requisites
Prerequisites
- Any
Intermediate unit in Mathematics
Co-requisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
Teaching
Teaching Pattern | 3x1-hr lectures, 1-hr tutorial, 1-hr lab session weekly |
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Assessment | 3-hr exam (70%), assignments (30%) |
Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
Required | Information about any textbook requirements will be available from mid November. |
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Recommended |
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