Overview

This unit introduces the fundamentals of modelling for discrete optimisation, focusing on how to rigorously express a discrete optimisation problem in a manner that is can be solved. Topics covered will include decision variables, basic constraints, modelling with sets, modelling with functions, multiple modelling viewpoints, modelling time, common modelling patterns, … For more content click the Read More button below.

Offerings

S1-01-CLAYTON-FLEXIBLE
S1-01-MALAYSIA-ON-CAMPUS
S1-01-OS-CHI-SEU-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Professor Peter Stuckey

Unit Coordinator(s)

Dr Arghya Pal

Teaching approach

Active learning

Assessment summary

This unit has threshold mark hurdles. You must achieve at least 45% of the available marks in the final scheduled assessment, at least 45% in total for in-semester assessments, and an overall unit mark of 50% or more to be able to pass the unit. If you do not achieve the threshold mark, you will receive a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment

1 - In class participation
2 - Assignment 1
3 - Assignment 2
4 - Mid-semester test
5 - Assignment 3
6 - Scheduled final assessment (2 hours and 10 minutes)

Scheduled and non-scheduled teaching activities

Laboratories
Workshops

Workload requirements

Workload

Learning resources

Technology resources