Postgraduate Course: Methodology, Modelling and Consulting Skills (MATH11007)
|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
|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.
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.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Course Delivery Information
|Academic year 2022/23, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 11,
Seminar/Tutorial Hours 29,
Formative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Programming and modelling exercises (biweekly, 1st half of term) 30% (split tbd)
Larger modelling/programming exercise (20% end of 1st half of term) 20%
Group project (groups of 4, 2nd half of term) 50% (split between report and presentation)
||Written feedback on modelling and programming exercises
Peer feedback on modelling
Auto-marked programming exercises if possible
Oral feedback on the group projects
|No Exam Information
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.
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.
|Graduate Attributes and Skills
||MSc Operational Research students only.
|Course organiser||Mr Kit Searle
|Course secretary||Miss Gemma Aitchison
Tel: (0131 6)50 9268