Courses Master Display 2025-2026
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| Course title | Algorithms and Optimisation | |||||||||||||||||||||||||||||||||||||||
| Course code | EBC4049 | |||||||||||||||||||||||||||||||||||||||
| ECTS credits | 6,5 | |||||||||||||||||||||||||||||||||||||||
| Assessment | Whole/Half Grades | |||||||||||||||||||||||||||||||||||||||
| Period |
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| Level | Advanced | |||||||||||||||||||||||||||||||||||||||
| Coordinator |
Stan van Hoesel, Tom van der Zanden For more information: s.vanhoesel@maastrichtuniversity.nl; t.vanderzanden@maastrichtuniversity.nl |
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| Language of instruction | English | |||||||||||||||||||||||||||||||||||||||
| Goals |
Students learn how to recognize NP-hard optimization problems, and to formulate them. Moreover, the students learn to select appropriate exact and/or heuristic methods to solve the problems.
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| Description |
We introduce complexity theory. We discuss exact optimization algorithms as well as approximate algorithms for NP-hard problems. Students learn how standard techniques from mathematical programming, combinatorial optimisation, and heuristics and search methodologies work, and learn to read research articles and to give presentations on the subjects.
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| Literature |
* L.A. Wolsey Integer Programming (2nd edition, 2021),
Edmund K. Burke and Graham Kendall (eds.) Search Methodologies, Springer, Boston, MA, 2014 * Various research articles |
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| Prerequisites |
PREREQUISITES
TRANSITIONAL REGULATIONS
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| Teaching methods (indicative; course manual is definitive) | PBL / Presentation / Lecture / Papers / Groupwork / Coaching | |||||||||||||||||||||||||||||||||||||||
| Assessment methods (indicative; course manual is definitive) | Attendance / Written Exam / Presentation | |||||||||||||||||||||||||||||||||||||||
| Evaluation in previous academic year | For the complete evaluation of this course please click "here" | |||||||||||||||||||||||||||||||||||||||
| This course belongs to the following programmes / specialisations |
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