Large-Scale Optimization
About
This course in optimization primarily treats large-scale, difficult, and often combinatorial optimization problems. You will study different methods of tackling such problems, through a lecture series and working on projects in a group. You will also touch on current research topics such as optimality conditions for non-convex optimization, column generation, and Lagrange duality. The course will conclude with an algorithm contest, where you compete by choosing the best and/or quickest approach to solving a problem!
This course is open to
Exchange students at the Faculty of Science and exchange students on a university-wide agreement. Please contact your international coordinator at the University of Gothenburg if you need to know more.
Entry requirements
The prerequisite for the course Large-Scale Optimization is the equivalent of the course MMG621 Nonlinear Optimization or equivalent of the course MMG631 Linear and Integer Optimization with Applications.
English proficiency
Incoming students should have an English level equivalent of B2 or higher as courses and materials, including presentations and exams, will be in English.
To assess your English level, you can use the self-assessment grid for reference: https://europa.eu/europass/en/common-european-framework-reference
Application
Do you want to apply for exchange studies at the University of Gothenburg?