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SDSC3008 - Systems Dynamics and Control

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester A 2023/24

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

This course provides the basic knowledge of dynamic systems and introduces controller design methods to students with background in control, signal processing, artificial intelligence and machine learning, power systems and financial engineering. It 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
Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components.
 
Detailed Course Information

SDSC3008.pdf