Optimisation

5 credits

Course, Master's level, 1TD184

Expand the information below to show details on how to apply and entry requirements.

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
2 November 2026–17 January 2027
Language of instruction
English
Entry requirements

120 credits including 30 credits in mathematics of which 5 credits mathematics containing several variable calculus that can be taken in parallel. Computer Programming I. Participation in one of the courses Scientific Computing basic course, Scientific Computing I, Scientific Computing Bridging course or Numerical methods and Simulation. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Application deadline
15 April 2026
Application code
UU-12040
Apply now

Admitted or on the waiting list?

Registration period
19 October 2026–8 November 2026
Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
2 November 2026–17 January 2027
Language of instruction
English
Entry requirements

120 credits including 30 credits in mathematics of which 5 credits mathematics containing several variable calculus that can be taken in parallel. Computer Programming I. Participation in one of the courses Scientific Computing basic course, Scientific Computing I, Scientific Computing Bridging course or Numerical methods and Simulation. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Admitted or on the waiting list?

Registration period
19 October 2026–8 November 2026
Information on registration from the department

About the course

The aim of optimisation is to find the best, maximum or minimum solution to a problem, where the problem is formulated in mathematical terms. Such problems exist and emerge practically everywhere in real life. It might be to maximise the profit given the price and other conditions or to optimise the traffic flow.

Optimisation problems lead to large computational problems that need to be solved using computers and computational software. This course focuses on how such methods work and can be analysed as well as how the problems can be formulated. Realistic optimisation problems from different areas are solved in the course. Here is MATLAB (and the optimisation toolbox) used.

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