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CS4489 - Optimization Foundations for AI Training

Offering Academic Unit
Department of Computer Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester B 2025/26
Semester B 2026/27 (Tentative)

* The offering term is subject to change without prior notice
 
Course Aims

This course offers an accessible introduction to the optimization foundations (both theoretical and programmatic) essential for artificial intelligence (AI) training and machine learning (ML). The course bridges elementary concepts in computer science with practical training techniques essential for developing modern AI systems. Through these tools, students will build a solid foundation for deeper exploration of AI and ML, gaining critical insights into contemporary AI development.


Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
Min. Examination Passing Requirement: 30%
 

For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.

 
Detailed Course Information

CS4489.pdf