COMP4691/8691 Optimisation

Topics

Optimisation is the art and practice of making good decisions. Optimisation technology supports humans and society in this endeavour, and enables the design and operation of automated systems. It plays a particularly important role in robotics, artificial intelligence and machine learning as well as more traditional industries such as mining, energy, transport, logistics, manufacturing and finance.

While at first the thought of optimising a system might sound rather dry and tedious, don’t be fooled! In practice is often extremely fun and fulfilling. There is no shortage of challenge and insight: from translating a real-world system into a mathematical model, designing specialised algorithms for solving the problem, and then exploring and interpreting the outcomes.

New for 2024: This year we will have 5 quizzes during the semester. They will in-person quizzes and will take place at the end of the selected Friday lectures. See the deliverables pages for more information. Here is the breakdown of the assessment marks for 2024:

Assessment COMP4691 COMP8691
Final Exam 50% (40% hurdle) 50% (40% hurdle)
Assignment 1 10% 10%
Assignment 2 10% 10%
5 Quizzes 30% 20%
Seminar 10%

This site contains the lecture and lab material and links to the deliverables. We will be cross-posting important news announcements here and on ed discussions.

Updated:    12 Jul 2024 / Responsible Officer:    Director, School of Computing / Page Contact:    Felipe Trevizan