Valid from: Spring 2013
Decided by: FN1/Anders Gustafsson
Date of establishment: 2013-02-24
Division: Automatic Control
Course type: Third-cycle course
Teaching language: English
The course is a continuation of "Convex Optimization" where the acquired knowledge is applied to a larger project.
Knowledge and Understanding
For a passing grade the doctoral student must should understand how use acquired knowledge from the course Convex Optimization can be used to solve a smaller research project
Competences and Skills
For a passing grade the doctoral student must formulate an interesting project suggestion, perform a study using knowledge in convex optimization, and present the result for colleagues
Judgement and Approach
For a passing grade the doctoral student must show ability for creative, independent work
Projects could range from numerical experiments to purely mathematical projects. There are three mandatory parts: Project description, Project report, Project presentation
see Convex Optimization
Type of instruction: Project. The project course should be done in connection with the course Convex Optimization
Examination formats: Written report, seminars given by participants
Grading scale: Failed, pass
Examiner:
Assumed prior knowledge: the course builds on the knowledge from Convex Optimization
Course coordinators: