The course deals with a subfield of optimization and systems theory, decided jointly by the examiner and the teacher/researcher/guest responsible for the current occasion of the course.
FSF3809 Selected Topics in Optimization and Systems Theory 3.0 credits
Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FSF3809 (Spring 2019–)Headings with content from the Course syllabus FSF3809 (Spring 2019–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
After completing the course, the student should have obtained a special competence within an up-to-date subfield of optimization and systems theory.
Literature and preparations
Specific prerequisites
A Master degree including at least 30 university credits (hp) in Mathematics (Calculus, Linear algebra, Differential equations and transform method), and further at least 6 hp in Mathematical Statistics, 6 hp in Numerical analysis, and 6 hp in Optimization.
Completed at least one ordinary PhD course relevant for the current subject of the intensive course.
Literature
To be announced before the start of the course. In general, scientific articles and excerpts from books will be used.
Examination and completion
Grading scale
P, F
Examination
- INL1 - Assignment, 3.0 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
If the course is discontinued, students may request to be examined during the following two academic years.
Projects, Seminars, or Homework assignments
Other requirements for final grade
Completed projects , seminars, or assignments
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Education cycle
Third cycle