COURSES >>>

SDSC2002 - Convex Optimization

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester B 2021/22
Semester B 2022/23 (Tentative)

* 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

SDSC2002.pdf

Useful Links

School of Data Science