Simulation and Optimisation for Decision Support
| Code | School | Level | Credits | Semesters |
| COMP4038 | Computer Science | 4 | 20 | Spring UK |
- Code
- COMP4038
- School
- Computer Science
- Level
- 4
- Credits
- 20
- Semesters
- Spring UK
Summary
This module offers insight into the applications for selected methods of decision support. The foundations for applying these methods are derived from Operations Research, Social Simulation, Data Science and Decision Analysis. You will learn how to conceptualise, design, and implement complex system simulation models, and how to solve optimisation problems with and without the help of simulation. Throughout the module, you will become more competent in choosing and implementing the appropriate method for the particular problem at hand.
Target Students
Available to Level 3 and Level 4 students in the School of Computer Science. This module is not available to students not listed above, without explicit approval from the module convenor(s). This module is part of the Artificial Intelligence, Modelling and Optimisation theme in the School of Computer Science.
Classes
Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester.
Assessment
- 70% Coursework 1: Written consultancy report of the complete life cycle of a simulation-optimisation study. Reassessment for the module is 100% coursework.
- 30% Coursework 2: Short written report summarising group activity. Short written report answering questions related to lab session tasks. Reassessment for the module is 100% coursework.
Assessed by end of spring semester
Educational Aims
Introduce students to the principles of decision support.Enable students to appreciate the different decision support methods.Enable students to make a competent decision which method to use for their particular problem.Provide practical experience in applying decision support methods.Learning Outcomes
Knowledge and Understanding
- Understanding the capabilities, strengths and limitations of selected decision support methods (A3).
- An appreciation of different decision support tools (A4).
Intellectual Skills
- The ability to understand complex ideas and relate them to specific situations (B4).
Professional Skills
- The ability to implement selected decision support methods for real world applications (C1).
- The ability to evaluate selected decision support tools and select those appropriate to a given task (C3).
Transferable Skills
- The ability to address real problems and assess the value of their proposed solutions (D1).
- The ability to retrieve and analyse information from a variety of sources and produce detailed written reports on the result (D4).