Postgraduate Course: Topics in Applied Operational Research (MATH11183)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | Most of the problems arising in Operational Research (OR) are complex, often entailing considerable uncertainty. This course combines the technical Operational Research (OR) and Optimization skills with computing and modelling techniques to study several fields in which OR is applied on a daily basis in industry. |
| Course description |
The course will introduce some rising areas of optimization and demonstrate how they are currently applied in practical industry OR contexts. It also includes a semester-long group project on a practical application of OR in industry. The syllabus may vary from year to year. Possible fields of OR application to be covered include Production Planning, Telecommunications, Energy, Healthcare, Sport, and the Environment. In addition to standard academic guidance, the course will feature presentations by practising industry professionals.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2022/23, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Seminar/Tutorial Hours 5,
Supervised Practical/Workshop/Studio Hours 5,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
68 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Written Exam 0 %, Coursework 100 %.
Assignments (3): 30%, Group project (70%).
The assignments assess the first two learning outcomes. The project components assess the second and third learning outcomes. |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Apply suitable OR techniques to an unfamiliar OR context.
- Explain how and why the same OR problem in industry may be formulated in several different ways.
- Present in written and oral forms the modelling, solution, and analysis of the results for a practical application of OR in industry.
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Reading List
T. Terlaky, M.F. Anjos and S. Ahmed (2017). Advances and Trends in Optimization with Engineering Applications. Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611974683
Application-specific references as relevant. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | TAOR |
Contacts
| Course organiser | Mr Kit Searle
Tel:
Email: kd.searle@ed.ac.uk |
Course secretary | Miss Gemma Aitchison
Tel: (0131 6)50 9268
Email: Gemma.Aitchison@ed.ac.uk |
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