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
Course offerings are missing for current or upcoming semesters.
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.
Recommended prerequisites
No information inserted
Equipment
No information inserted
Literature
To be announced before the start of the course. In general, scientific articles and excerpts from books will be used.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
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.
Projects, Seminars, or Homework assignments
Other requirements for final grade
Completed projects , seminars, or assignments
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
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
Main field of study
This course does not belong to any Main field of study.
Education cycle
Third cycle
Add-on studies
No information inserted
Contact
Johan Karlsson (johan.karlsson@math.kth.se)