2024/2025 KAN-CMECV1063U Mathematical Optimization: Models, Methods and Applications
English Title | |
Mathematical Optimization: Models, Methods and Applications |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Elective |
Level | Full Degree Master |
Duration | One Quarter |
Start time of the course | Second Quarter |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Max. participants | 80 |
Study board |
Study Board for HA/cand.merc. i erhvervsøkonomi og matematik,
MSc
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Last updated on 25-01-2024 |
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Learning objectives | ||||||||||||||||||||||||||
After completing the course, students should:
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Examination | ||||||||||||||||||||||||||
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||||
This course aims to enhance your theoretical knowledge of and practical skills in Optimization tools. The course uses computer software to illustrate how to apply the methodologies we introduce. The course is multidisciplinary in nature with links to areas such as economics, finance, marketing, and operations management. The structure of the course is as follows:
Mixed Integer Linear Programming
Nonlinear Programming
Multiobjective Optimization
Stochastic and Robust Optimization
The course’s development of personal competences:
During the course, and through a hands-on approach supported by optimization theory, students will develop quantitative skills needed for Decision Making, as well as learn to appreciate the implications of multiple objectives and uncertainty in Decision Making and the need for flexible and robust solutions. |
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Description of the teaching methods | ||||||||||||||||||||||||||
Lectures, Exercises, Demos, Computer Workshops | ||||||||||||||||||||||||||
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Further Information | ||||||||||||||||||||||||||
Main academic disciplines: Optimization, Economics, Finance |
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Expected literature | ||||||||||||||||||||||||||
Preparatory Reading
Hillier, F.S. and Lieberman, G.J. (2015), Introduction to Operations Research. 10th Edition. McGraw-Hill.
Additional Reading
Fourer, R., Gay, D. and Kernighan, B. (2002). A Modeling Language for Mathematical Programming. 2nd Edition. Duxbury Press.
Rardin, R.L. (1998) Optimization in Operations Research. Prentice Hall.
Williams, H.P. (2013), Model Building in Mathematical Programming. 5th Edition. John Wiley & Sons. |