6 ECTS credits
169 h study time

Offer 1 with catalog number 4020659ENR for all students in the 1st semester at a (E) Master - advanced level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Studenten die dit opleidingsonderdeel opnemen, moeten geslaagd zijn voor 'Bedrijfsinformatica' en 'Wiskunde II voor Handelsingenieurs' Students who want to enroll for this course, must have passed for 'Business Information Systems and 'Advanced Mathematics of Business and Technology'.
Taught in
English
Faculty
Faculty of Social Sciences & SolvayBusinessSchool
Department
Business Technology and Operations
Educational team
Lieselot Vanhaverbeke (course titular)
Ona Van den bergh
Activities and contact hours
26 contact hours Lecture
29 contact hours Seminar, Exercises or Practicals
114 contact hours Independent or External Form of Study
Course Content

This course provides an introduction in Operations Research and envisions insight in and skills for mathematical modelling and optimisation techniques for different optimisation problems.

This course concerns optimisation problems. First we discuss mathematical problems and their formulation with variables and constraints. Next we provide an in-depth introduction on uni-criterium optimisation. We discuss linear optimisation as well as combinatorial and integer optimisation, non-linear optimisation and convextity. Consecutively, we turn to multi-criteria optimisation and decision making under uncertainty. Finally, the complexity of methods and heuritiscs is discussed.

Software labs comprise the hands-on illustration of theory and cases with the appropriate software (such as MS Excel/Solver and a specialized optimisation package).

Course material
Digital course material (Required) : Slides en Artikels/Cases, Canvas
Handbook (Required) : Introduction to Operations Research, Hillier & Lieberman, 11th Edition, McGraw-Hill, 9781260575873, 2020
Additional info

All electronic material used will be made available through Canvas.

In case of guest lectures, attending the session is mandatory and the presented information is integrally part of the course content.

Learning Outcomes

Knowledge

Knowledge of quantitative deterministic techniques used in modern decision support, including their application range and limitations.

Insight

Apply OR techniques to mathematically formulate a practical decision making problem as an optimisation problem, solve it and provide mathematical as well as managerial insight in the results.

Practical Skills

Use standard software (such as MS Excel/Solver and optimisation packages) to model and solve decision making problems quantitatively.

Grading

The final grade is composed based on the following categories:
Written Exam determines 40% of the final mark.
Practical Exam determines 40% of the final mark.
SELF Practical Assignment determines 20% of the final mark.

Within the Written Exam category, the following assignments need to be completed:

  • Written Exam (Theory) with a relative weight of 40 which comprises 40% of the final mark.

    Note: Obligatory written theory examen

Within the Practical Exam category, the following assignments need to be completed:

  • Exam Exercises on computer with a relative weight of 40 which comprises 40% of the final mark.

    Note: Obligatory practical exercise exam on computer

Within the SELF Practical Assignment category, the following assignments need to be completed:

  • Assignment with a relative weight of 20 which comprises 20% of the final mark.

    Note: Intermediate assignments

Additional info regarding evaluation

Mandatory participation for all parts of the evaluation (exam and assignment).

Upon request of a student, the scores for the assignment and/or exams can be transferred from first session to second session within the same academic year.

The assignment can only be taken during the semester; there is no possibility to take the assigment in second session.

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Business Engineering: Standaard traject (only offered in Dutch)
Master of Business Engineering: Business and Technology: Standaard traject