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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 2023/24
Semester B 2024/25 (Tentative)

* 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. This course aims to present principles and tools for making more beneficial decisions. This includes a principled approach to formulating and solving 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
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