120 credits including 90 credits in mechanical engineering, industrial engineering, production engineering, automation engineering, electrical engineering and/or computer science/information technology; 5 credits in computer programming; 20 credits in mathematics; 5 credits in statistics and probability theory. Proficiency in English equivalent to the Swedish upper secondary course English 6.
The course provides knowledge about conventional optimisation approaches. The course covers exact and approximate optimisation methods and their applications for solving real-life problems. Specific focus will be given to formulating industrial problems as (non-) linear mathematical optimisation models and solving these models using existing software tools. The use and importance of meta-heuristic algorithms for solving complex problems will also be discussed in this course.
