MATH5171 is an 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 Optimatisation 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:  The Course outline will be made available closer to the start of term - please visit this website: https://www.unsw.edu.au/course-outlines

Important additional information as of 2023

UNSW Plagiarism Policy

The University requires all students to be aware of its policy on plagiarism.

For courses convened by the School of Mathematics and Statistics no assistance using generative AI software is allowed unless specifically referred to in the individual assessment tasks.

If its use is detected in the no assistance case, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion.

If you are currently enrolled in MATH5171, you can log into UNSW Moodle for this course.

Contact pg.mathsstats@unsw.edu.au for enquiries.

Course overview

Optimisation 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 optimisation 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 optimisation.