Academic Item Menu

Overview

Optimization is the mathematical problem of finding a decision to achieve the best possible outcome while satisfying certain restrictions. Linear programs, conic linear programs and discrete optimization problems arise in a myriad of applications: electricity markets, airlines, logistics, public transport, international shipping, mining, finance, engineering, and data science. This course will provide an introduction to the basic mathematical theory, modelling techniques, computational methods and selected applications of linear, conic and discrete optimization.

Study Level

Undergraduate

Offering Terms

Term 3

Campus

Kensington

Delivery Mode

Fully on-site

Indicative contact hours

5

Conditions for Enrolment

(1) [MATH2011 or MATH2111] and [MATH2501 or MATH2601]; or (2) both MATH2069 (CR) and MATH2099 ; or (3) both [MATH2018 or MATH2019] (DN) and MATH2089 .

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

Helpful utilities like sharing or printing this page
Share Link via Email
Download PDF