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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


Offering Terms

Term 3



Delivery Mode

Fully on-site

Indicative contact hours


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 .


Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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