Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


  1. Understand how several important problems arising from diverse fields can be cast and solved as nonlinear optimisation problems;
  2. Know the main techniques for solving nonlinear optimisation problems and how to apply them in practice;
  3. Know how to use optimisation software for implementing and solving nonlinear optimisation problems.

Credits: 5

Schedule: 08.09.2022 - 01.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Nuutti Hyvönen, Anton Saukkonen

Contact information for the course (applies in this implementation):

Lecturer: Nuutti Hyvönen

Assistant: Anton Saukkonen

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    In this course, the student will learn the basic optimisation theory behind the main numerical algorithms available and how they can be applied to solve optimisation problems. At the end of the course, it is expected that the student will be capable of analysing the main characteristics of an optimisation problem and decide what is the most suitable method to be employed for its solution.

  • applies in this implementation


Assessment Methods and Criteria


Study Material
Substitutes for Courses


Further Information
Details on the schedule