Course Syllabus for

Convex Optimization - Project
Konvex optimering - projekt

FRT085F, 2.5 credits

Valid from: Spring 2013
Decided by: FN1/Anders Gustafsson
Date of establishment: 2013-02-24

General Information

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

Course Contents

Projects could range from numerical experiments to purely mathematical projects. There are three mandatory parts: Project description, Project report, Project presentation

Course Literature

see Convex Optimization

Instruction Details

Type of instruction: Project. The project course should be done in connection with the course Convex Optimization

Examination Details

Examination formats: Written report, seminars given by participants
Grading scale: Failed, pass

Admission Details

Assumed prior knowledge: the course builds on the knowledge from Convex Optimization

Course Occasion Information

Contact and Other Information

Course coordinators:

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