MS5216 - Decision Analytics | ||||||||
| ||||||||
| * The offering term is subject to change without prior notice | ||||||||
Course Aims | ||||||||
This
course aims to train students’ skills in modelling and optimization that are
essential in turning real-world business decision-making problems into
mathematical models and developing solution methods using computer packages
such as spreadsheets, R/Python. It
serves as a foundation course for business analytics, and covers commonly used
optimization methods in business applications, including linear programming,
and nonlinear optimization. It also introduces application of the optimization
methods to a wide range of problems, including statistical estimation, machine
learning, and business decision making under uncertainty. | ||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||
Continuous Assessment: 40% | ||||||||
Examination: 60% | ||||||||
Examination Duration: 2 hours | ||||||||
Detailed Course Information | ||||||||
| MS5216.pdf | ||||||||
Useful Links | ||||||||
| Department of Management Sciences | ||||||||
