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MS8953 - Optimization Theory and Method

Offering Academic Unit
Department of Decision Analytics and Operations
Credit Units
3
Course Duration
One Semester
Course Offering Term*:
Semester B 2024/25

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

This course aims to provide students a comprehensive understanding of linear programming, convex optimization, dynamic programming and stochastic control. Students are trained to make optimal decisions under deterministic and stochastic environments. Applications in inventory control and pricing strategy are demonstrated. This course is designed to introduce fundamental models and technical tools of solving real world problems to PhD students, and to train their original thinking skills and prepare them for advanced research in the fields of operations research and operation management.


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

Continuous Assessment: 70%
Examination: 30%
Examination Duration: 3 hours
 
Detailed Course Information

MS8953.pdf

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