SDSC8005 - Optimization

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2021/22

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

In this course we will learn how to formulate, analyze and solve various optimization problems. Topics include convex analysis, classifying different types of optimization problems, optimality conditions, duality, unconstrainted optimization, and optimization under uncertainty. No prior optimization background is required for this class. However, students should have workable knowledge in multivariable calculus, linear algebra and matrix theory.

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

Continuous Assessment: 100%
Examination Duration: 0 hours
Detailed Course Information


Useful Links

School of Data Science