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Engineering Optimization

  • Number of credits 7.5 Credits
  • Level Master’s level
  • Starting Autumn Term 2018

Admitted to the course

Here you will find everything you need to know before the course starts.

About the course

In optimization, the aim is to find the best, the minimum or maximum, solution to a problem formulated in mathematical terms. This course covers theory and algorithms for optimization when the problem is non-linear, which is common in a number of applications. The course considers problems with and without non-linear constraints.  There is a vast freedom in how these problems can be formulated and solved. Thus, the course encompasses different optimization approaches and algorithms, as well as the theory of non-linear problems, optimality conditions, rate of convergence, sensitivity analysis, and least squares problems. Furthermore, the course covers how this knowledge can be applied in two or three selected application areas, such as geometrical measurement problems and design optimization. The course includes computer labs to provide proficiency training and increased understanding of the selected applications. Altogether, this equips the students with the tools needed to solve many important problems.

Application and eligibility

Engineering Optimization, 7.5 hp

Det finns inga tidigare terminer för kursen Autumn Term 2018 Det finns inga senare terminer för kursen


Lectures begin on week starting 5 November 2018


Lectures end during the week of 14 January 2019

Study location




Type of studies

Daytime, 50%

Required Knowledge

Univ: To be admitted you must have (or equivalent) 90 ECTS-credits including 60 ECTS-credits in Computing Science or two years of completed studies within a study programme (120 ECTS-credits). In both cases, the studies must include at least 15 ECTS-credits within Calculus, 7.5 ECTS-credits in Linear Algebra, at least 7.5 ECTS-credits within Programming methodology, at least 4.5 ECTS-credits within Scientific computing/Numerical Analysis, and at least 7.5 ECTS-credits within Matrix computations.

Proficiency in English equivalent to Swedish upper Secondary course English A/5. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.


Academic credits Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code



Application deadline was 16 April 2018. Please note: This second application round is intended only for EU/EEA/Swiss citizens. Submit a late application at

Application and Tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee


Tuition fee, first instalment


Total fee


Contact us

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Course is given by
Department of computing science
Contact person for the course is:
Student Office at computing science