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Engineering Optimization

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

Education facts

Code: 5DA004

The course deals with theory and algorithms for optimization of nonlinear problems, something that is common in a number of applications. The course deals with problem formulations both with and without non-linear constraints, which gives a great freedom in how problems can be formulated and solved. Together, this gives the students access to very powerful tools for solving many important problems. The course deals with various optimization efforts and algorithms, theory of nonlinear problems, conditions for optimum, convergence rate, sensitivity analysis and least-square problems. Furthermore, the course deals with how these skills are used in two or three selected applications, such as geometric measurement problems and design optimization. Skills training and increased understanding are acquired through computer assignments. The course consists of two parts: - Part 1, theory, 4.5 credits - Part 2, problem solving, 3 credits

Entry requirements

At least 90 ECTS, including 60 ECTS Computing Science, or 120 ECTS within a study programme. At least 7.5 ECTS programming; 7.5 ECTS linear algebra; 7.5 ECTS numerical linear algebra; 15 ECTS differential and integral calculus; and 4.5 ECTS numerical analysis. Proficiency in English equivalent to the level required for basic eligibility for higher studies.

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.

  • Engineering Optimization

    Umeå University

    Umeå

    Start date:

    End date:

    Pace of study: 50 %

Source and updates

Skolverket Susa-navet

Retrieved: .

Published: .

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-03-02T08:14:55