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

• Written examination, 4 hours, graded mark
• Work requirements, mandatory assignments that must be approved in order for the student to take the written examination

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