LS00EN29 Optimisation (5 cr)
Cooperation network course
Network: Education network on Inverse Problems
This course is offered through the Network for Inverse Problems. These studies are available for the following degree students:
- Bachelor's Degree Programme in Mathematics
- Bachelor's Degree Programme in Mathematics (Subject Teacher)
- Master’s Degree Programme in Mathematics
- Master's degree Programme in Mathematics (Subject Teacher)
- Doctoral Degree Programme in Mathematics and Statistics
Description
Formulation of an optimisation problem, optimality conditions, classification of optimisation methods, selecting an appropriate method, linear optimisation, discrete optimisation, quadratic optimisation, least-squares optimisation, nonlinear unconstrained and constrained optimisation, examples of modern methods of optimisation.
Learning outcomes
After this course, a student - knows the basics of optimisation theory. - recognises different optimisation problems. - can formulate an optimisation problem and choose an appropriate solution method for the problem. - can solve different type optimisation problems. The course develops the following generic skills: digitalisation, management and development, internationality, sustainability and responsibility, critical thinking, identification and development of one's own expertise, and interaction and communication.
Additional information
The course will be held only every second academic year. You can see the course implementations in Study guide, under "Course Units" or "Show past courses". This course is intended for the following student groups: - Undergraduate students in Technical Physics (MSc) - Undergraduate students in Applied Physics (MSc) - Graduate students in technology, physics and mathematics.
Description of prerequisites
Recommendations of the prior learning: basics of differential calculus and Matlab programming