SDSC2002 - Convex Optimization

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester B 2023/24

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

This is a fundamental and introductory course on optimization theory and introduces basic concepts, theories and methods of optimization techinques. It emphasizes the fundamental theories of important optimization algorithms with a focus on applications to data science. It also equips students with computing algorithms and techniques of applying taught methods to solve practical problems.

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

Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
Detailed Course Information


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School of Data Science