MATH3171: Linear and Discrete Optimization Modelling

MATH3171 is a Mathematics Level III course. See the course overview below.

Units of credit: 6

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

Exclusion: MATH5171 Linear and Discrete Optimization Modelling (jointly taught with MATH3171) 

Cycle of offering:  Term 3 2023 and 2025 (odd years) 

Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities.

More information: Please refer to the Course Outline (PDF) here.

If you are currently enrolled in MATH3171, you can log into UNSW Moodle for this course.

Course Overview

Optimization is the mathematical problem of finding a decision to achieve the best possible outcome while satisfying the restriction we faced. 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.