Subjects in the front line of computational vision.
FJH3001 Topics in Computational Brain Science: Vision I 4.0 credits
The subject of this course is to cover one or several timely topics in computational vision at the PhD study level. The choice of topics may vary between different course offerings, depending on the current needs in the PhD education in Computational Brain Science. The course may be given in terms of a supervised reading course, a set of lectures or a combination thereof.
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 FJH3001 (Spring 2019–)Headings with content from the Course syllabus FJH3001 (Spring 2019–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
After the course, the student should be able to:
- describe, explain and relate basic theories, methodologies and algorithms in computational vision as well as
- be able to choose between different types of computational models for a computational implementation of visual operations.
The specific focus of the course may vary from time to time.
Literature and preparations
Specific prerequisites
The student must carry out research at the PhD level within or closely related to computational brain science or vision.
Literature
Kurslitteraturen bestäms av examinator före varje kurstillfälle.
Selected papers relating to the topic in the front line of computational vision covered by the specific course offering.
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
- EXA1 - Examination assignment, 4.0 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.
Examination by written homework assignments.
Other requirements for final grade
Approved written report.
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