Skip to menu Skip to content Skip to footer
Course profile

Further Topics in Operations Research (MATH3205)

Study period
Sem 2 2024
Location
St Lucia
Attendance mode
In Person

Course overview

Study period
Semester 2, 2024 (22/07/2024 - 18/11/2024)
Study level
Undergraduate
Location
St Lucia
Attendance mode
In Person
Units
2
Administrative campus
St Lucia
Coordinating unit
Mathematics & Physics School

This course will work with recent papers from the literature to build on and extend the tools and concepts introduced in MATH3202. Topics will be drawn from large scale linear and integer programming, Benders decomposition, Dantzig-Wolfe decomposition, advanced dynamic programming techniques and stochastic optimisation methods.

This course will build on and extend the tools and concepts introduced in MATH3202 Operations Research. This will be done in the context of working with recent papers from the literature. Topics investigated will be chosen from the following (though others may be covered):

  • Benders decomposition and lazy constraints
  • Dantzig-Wolfe decomposition, composite variables and delayed column generation
  • Stochastic optimisation
  • Approximate dynamic programming
  • Quadratic and other non-linear optimisation problems
  • Constraint programming
  • Quantum optimisation algorithms

Course requirements

Assumed background

Students should be familiar with Python

Prerequisites

You'll need to complete the following courses before enrolling in this one:

MATH3202

Recommended companion or co-requisite courses

We recommend completing the following courses at the same time:

MATH2504

Incompatible

You can't enrol in this course if you've already completed the following:

MATH7202 (co-taught), MATH4202

Course contact

Tutor

Ms Nat DiMichele

Course staff

Lecturer

Timetable

The timetable for this course is available on the UQ Public Timetable.

Additional timetable information

All content is taught interactively switching regularly between lecture and tutorial mode. Depending on progress, a number of guest lecturers from industry may be invited to present.