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SDSC4103 - Decision Analytics and Risk Management

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester B 2024/25

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

Decision making, uncertainty and risk are inherent to almost all man-made systems. Effective decisions lead to success and incorrect decisions lead to failures. In this course, students will learn principles and tools for making more beneficial decisions. Students will acquire the knowledge and analytical capability of  a principled approach to formulate and solve a decision problem, by accounting for uncertainties in the system or environment and incorporating risk attitudes.


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

SDSC4103.pdf