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Hobart

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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
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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* 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).

About Census Dates

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

Assessment

3-hr exam (70%), assignments (30%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Information about any textbook requirements will be available from mid November.

Recommended

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