Operations Research
Optimization, a subfield of operations research, deals with mathematical models and algorithms for solving practical problems in the areas of computer science, economics, engineering, physics, chemistry, biology etc. The course gives a broad orientation of the field of optimization, with emphasis on basic theory and methods for continuous linear and nonlinear as well as discrete linear optimization problems. Two examples of optimization problems which we all meet in our everyday life, and which are easy to model and solve after completing the course are: "Which path should we take from town A to town B, if we want the driving distance to be as short as possible" and "With the requirement that the driving time must not be longer than X minutes, how fast should we drive on each part to obtain the lowest possible fuel consumption." Exercises and laboratory problems are solved in MATLAB and optimization modelling languages using state-of-the-art software.
Occasions for this course
Spring semester 2025
-
Apply for freestanding course to Operations Research to Spring semester 2025 (part time 50%) to Operations Research to Spring semester 2025 (part time 50%) Apply for programme course
Scope
7.5 credits
Time
2025-01-20 - 2025-03-30 (part time 50%)
Education level
First cycle
Course type
Freestanding course, Programme course
Application code
MDU-11108
Language
English
Study location
Västerås
Course syllabus & literature
See course plan and literature list (MAA315)Specific requirements
At least totally 60 credits in the technical, natural sciences, business administration or economics areas including Basic Calculus Continuation Course, 7.5 credits, of which 2.5 credits must be completed at the beginning of the course, Numerical Methods, 7.5 credits, of which 3 credits must be completed at the beginning of the course, Basic Calculus, 7.5 credits, and Basic Vector Algebra, 7.5 credits, or equivalent.
Selection
University credits