Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FRT085F valid from Spring 2013

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  • English
  • If sufficient demand
  • The course is a continuation of "Convex Optimization" where the acquired knowledge is applied to a larger project.
  • Projects could range from numerical experiments to purely mathematical projects. There are three mandatory parts:
    Project description, Project report,
    Project presentation
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
Types of Instruction
  • Project
  • The project course should be done in connection with the course Convex Optimization
Examination Formats
  • Written report
  • Seminars given by participants
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
  • the course builds on the knowledge from Convex Optimization
Selection Criteria
  • see Convex Optimization
Further Information
Course code
  • FRT085F
Administrative Information
  •  -02-24
  • FN1/Anders Gustafsson

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