Postgraduate Course: Methodology, Modelling and Consulting Skills (MATH11007)
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 | This course is an introduction to modeling and solving optimization problems using state-of-the-art software tools. The students learn exemplary applications for different problem classes and work in groups on a mock consulting project. |
| Course description |
In this course, we introduce core concepts of Operational Research by modeling real-world problems as mathematical optimization models. We discuss standard model types such as linear programs, integer programs and others (eg quadratic programs). We also show how these models can be solved using state-of-the-art tools (currently FICO Xpress). In the second half of the course, the students apply their knowledge on a group consulting project.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | Only open to School of Mathematics MSc programmes with 'Operational Research' in the title |
Course Delivery Information
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| Academic year 2024/25, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 11,
Seminar/Tutorial Hours 29,
Formative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
56 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Programming, modelling and consultancy exercises (in the first half of term) 50%.
Group project (groups of 4, 2nd half of term) 50% (split between technical report and presentation). |
| Feedback |
Written feedback on modelling and programming exercises.
Oral and written feedback on the group projects. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Formulate optimization models that capture real-world problems
- Evaluate different model choices with respect to quality and solvability
- Use a modeling language to express optimization models in code
- Work in a group on realistic short-term consulting projects.
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Reading List
Additional literature:
Williams, H.P., 2013. Model building in mathematical programming 5th ed., Chichester, West Sussex: Wiley.
Hillier, F.S. & Lieberman, G.J., 2015. Introduction to operations research Tenth., New York, NY: McGraw-Hill. |
Additional Information
| Course URL |
http://student.maths.ed.ac.uk |
| Graduate Attributes and Skills |
Not entered |
| Special Arrangements |
MSc Operational Research students only. |
| Keywords | MMCS |
Contacts
| Course organiser | Dr 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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