This course is an introduction to Operational Research and aims at teaching students how to model typical business optimization problems. At the end of the course, students should be able to (i) identify typical problems in operational research, (ii) solve the problems using methods developed during the class, (iii) display critical thinking to interpret the obtained results. The course will have an important theoretical side, thus allowing student to develop the rigor that is needed to solve encountered problems. Lastly, students should be able to solve many problems by hand or using Excel, and proceed with a clear analysis.
The course objectives are
1) Write problems as linear pograms or combinatorial problems on graphs.
2) Use the appropriate algorithms to solve these problems.
3) Study the theoretical properties (consistency, etc.) of the algorithms used.
4) If necessary, develop heuristics to find approximate solutions.
Six to seven exercice sessions will be held. Video or paper solutions will be made available after the sessions.
The final grade for this course will include the project grade as well as the January evaluation. The project to be completed during the semester accounts for 30% of the final grade. The exam during the session is closed-book and will contain a theoretical part (accounting for 30% of the final grade) as well as exercises (40%).
Notes will be provided on Webcampus. They include the slides and associated recordings, as well as a syllabus (made available during the semester).
| Training | Study programme | Block | Credits | Mandatory |
|---|---|---|---|---|
| Bachelor in Business Engineering | Standard | 0 | 4 | |
| Bachelor in Business Engineering | Standard | 3 | 4 |