MS5216 - Decision Analytics | ||||||||
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| * The offering term is subject to change without prior notice | ||||||||
Course Aims | ||||||||
This course provides a comprehensive introduction to decision analytics, focusing on optimization models and methods critical for business decision-making. Utilizing the textbook "Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Business Analytics," students will explore the foundational principles and practical applications of optimization. Key topics include the formulation and solution of optimization problems using Excel spreadsheets, with an emphasis on linear and integer programming. The course also covers advanced techniques in convex and nonlinear optimization, ensuring a robust understanding of various optimization scenarios. Furthermore, students will engage with data-driven applications, learning to harness data for improved decision-making processes. Through a combination of theoretical instruction and hands-on exercises, this course equips students with the analytical skills necessary to address complex business challenges and make informed decisions grounded in quantitative analysis. | ||||||||
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 | ||||||||
