Module Descriptor School of Computer Science and Statistics
|Module Name||MANAGEMENT SCIENCE IN PRACTICE|
|Module Short Title|
|Semester Taught||Michaelmas Term|
6 hours lectures and computer laboratories per week.
|Module Personnel||Brett Houlding & Arthur White|
After this course, students will be able to
This course will look into some of the topics covered in the earlier management science courses at greater depth, with emphasis on how the methods can be practically implemented, principally through Excel.
• Risk Management;
• Simulation in complex modelling;
• Parametric elicitation;
• Supply Chain Management;
• Multi-objective, Multi-Criteria decision making;
• CPM and PERT analysis
• Stochastic linear programming;
• Decision theory;
• Dynamic programming;
• Utility of money;
• Futures and options;
• Bargaining theory and game theory
|Recommended Reading List|
Recommended Reading List
ST2006 Management Science Methods.
Assessment is by written examination. To pass the module, students must achieve an overall mark of 40%.
|Academic Year of Data|