MN50642: Optimisation
 Academic Year: | 2019/0 |
| Owning Department/School: | School of Management |
| Credits: | 6 [equivalent to 12 CATS credits] |
| Notional Study Hours: | 120 |
| Level: | Masters UG & PG (FHEQ level 7) |
| Period: |
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| Assessment Summary:
| CW 100% |
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| Description:
| Aims: This unit teaches the advanced concepts, theoretical models, state-of-the-art solution algorithms, and the best practices of optimisation from the real world. Learning Outcomes: At the end of this unit, students will be able to: * Recognise the components of an optimisation problem within a given managerial problem. * Solve optimisation problems using off-the-shelf software (such as OPL Studio and GAMS) and interpret the results. * Model and solve real life managerial problems as optimisation problems Skills: Intellectual skills: * Simplify a managerial problem down to its objective(s), decisions, and constraints (T, F, A) * Identify identical optimisation problems arising in different contexts (T, F) Practical skills: * Use spreadsheet software for optimisation (T, F) * Utilize models from the literature for common managerial optimisation problems (T, F, A) Transferable skills: * Enhance perspective of decision making (T, F) * Familiarize with key concepts and practices of problem solving (T, F, A) Content: Topics covered include linear and integer optimisation models and associated solution algorithms, sensitivity analysis, multi-objective optimisation, and well-studied optimisation models from the literature. |
| Programme availability: |
MN50642 is Compulsory on the following programmes:School of Management
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