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FSF3828 Selected Topics in Optimization and Systems Theory 7.5 credits

Information per course offering

Termin

Information for Spring 2024 Start 16 Jan 2024 programme students

Course location

KTH Campus

Duration
16 Jan 2024 - 3 Jun 2024
Periods
P3 (3.7 hp), P4 (3.8 hp)
Pace of study

25%

Application code

60911

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group

PhD students only.

Planned modular schedule
[object Object]
Schedule
Schedule is not published
Part of programme
No information inserted

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus FSF3828 (Autumn 2018–)
Headings with content from the Course syllabus FSF3828 (Autumn 2018–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The contents of the course is given by a theme within optimization, systems theory or systems engineering, which is determined by the student and the coordinator jointly.

The theme may be individual for each student or common for all.

The student should acquire special competence within the field of the theme, and present the results in writing and orally in front of the other students.

Intended learning outcomes

After completing the course the student should

  • be proficient in reading, summarizing, and presenting, in writing as well as orally to groups, various scientific articles in optimization, systems theory or systems engineering.
  • be able to actively participate in discussions about articles presented by other students in the course.
  • have obtained special competence within a subfield of optimization, systems theory or systems engineering.

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.

Completed master and/or PhD courses relevant for the current theme of the course.

Equipment

No information inserted

Literature

Announced when the course starts. Depending on the topic, mainly research papers and text book material 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, 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.

Projects. Seminars.

Other requirements for final grade

Successful completion of the project, including the presentations and active participation in 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

Postgraduate course

Postgraduate courses at SCI/Mathematics