Learning outcome

After successfully completing the course, the candidate will have achieved the following learning outcomes defined in terms of knowledge, skills and general competence.

The candidate can:

- Identify problems that can be solved by using the methods described in the course

- Formulate problems mathematically

- Find the optimal solution by calculation or using software tools

- Interpret results and evaluate alternative solutions

Course Description

Linear programming, queue theory, simulation, stochastic decision-making processes and inventory theory.

Teaching and Learning Methods

3-4 hours of lectures per week in the spring semester.

Assessment Methods

Submission of 1-2 assignments which must receive passing grades before the student will be permitted to take the final examination. Written examination, 4 hours.

Minor adjustments may occur during the academic year, subject to the decision of the Dean