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FSF3827 Topics in Optimization 7.5 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FSF3827 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The contents of the course is given by a theme within optimization, which is determined by the student and the coordinator jointly. The theme may be individual for each student or common.

The student will acquire special competence within the field of his/her theme, and present the results in talking as well as in writing. The course is build on individual work of the students.

The coordinator will give support and act as advisor. Big emphasis is put on in-depth study of the field of the theme, as well as the presentations in talking and in writing.

Intended learning outcomes

  • To make the student familiar with reading, summarizing, and presenting, in talking as well as in writing, various scientific articles in optimization,
  • To give the student special competence within a subfield of optimization.

Literature and preparations

Specific prerequisites

A Master degree including at least 30 university credits (hp) in 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.

Suitable prerequisites are the courses: SF3812 Applied Linear Optimization and SF3822 Applied Nonlinear Optimization, or similar knowledge.

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

To be announced at 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

  • PRO1 - Project work, 7.5 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.

Project. Seminars.

Other requirements for final grade

Project. Seminars.

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

Anders Forsgren (andersf@kth.se), Optimization and Systems Theory, KTH.

Postgraduate course

Postgraduate courses at SCI/Mathematics