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Optimisation

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: 1TD184

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.

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.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

  • Optimisation

    Uppsala University

    Uppsala

    Start date:

    End date:

    Pace of study: 33 %

Source and updates

Skolverket Susa-navet

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Published: .

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Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-03-09T12:14:25