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 Academic Year: | 2017/8 |
| 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 introduces algorithms for optimised decision making and methods for simulating the reality in a computerised environment for what-if-analysis. Learning Outcomes: At the end of this unit, students will be able to: * Design heuristic algorithms for optimisation problems. * Provide solutions for managerial decision problems using a programming language. * Construct a simulation model of a real-world business process. * Test and compare business scenarios using simulation. Skills: Intellectual skills: * Simplify a solution method into its elementary steps and implement it as an algorithm (T, F, A) * Identify the queues, resources, and entities in a business process and develop the corresponding simulation model (T, F, A) Practical skills: * Make use of a programming language for problem solving (F, A) * Utilize simulation software for scenario testing (T, F, A) Transferable skills: * Enhance perspective of decision making (F, A) * Familiarize with key concepts and practices of problem solving (T, F, A) Content: Topics covered include constructive heuristics, improvement heuristics, metaheuristics, discrete event system simulation, and input data analysis and output data analysis for simulation. |
| Programme availability: |
MN50646 is Compulsory on the following programmes:School of Management
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Notes:
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