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| title | description |
|---|---|
| Operations Research Case Studies | Historical course details for Operations Research Case Studies, recovered from the previous Incognito wiki. |
:::caution[Historical information] This information originated in the previous wiki and may be outdated. Check the current Maastricht University course information before relying on it. :::
Full course description
Operations Research (OR) is concerned with the best way to assign scarce resource to competing activities. OR is widely used in industry to support economically efficient decision-making, but also other application areas where discrete optimization has a central role. It is for this reason an important branch of mathematics. In this course the student will be introduced to a number of themes both from within deterministic OR and stochastic OR. Themes within deterministic OR include the network simplex method, integer linear programming, non-linear programming and approximation algorithms. Stochastic themes include queuing systems, Markov chains and Markov decision problems. After completing this course the student will have obtained an overview of available models and techniques in the field of OR and their mathematical foundations. The student will be able to formulate and solve a mathematical model for real-life OR problems.
Prerequisites
None.
Recommended reading
None.
Files
Source: Previous wiki page