MATH5171 - Linear and Discrete Optimization Modelling

MATH5171 is a Honours and Postgraduate Coursework Mathematics course. See the course overview below.

Units of credit: 6

Prerequisites: None. Basic knowledge about Multi-variable Calculus and Linear Algebra would be desirable.

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

Cycle of offering: Term 3 2023 and 2035 (odd years) 

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

More information: Course handout is available here (pdf)

If you are currently enrolled in MATH5171, 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.