Course development and history
Select the semester and course offering above to get information from the correct course syllabus and course offering.
Having passed the course, the student should be able to:
Lectures that cover the main theoretical results and basic scientific methods.
Seminars, in which the students, in groups and individually, are trained in reading, describing and evaluating scientific experiments and reports.
Practical training to write shorter and longer scientific reports that apply the methods and theories that have been gone through during the course.
No information inserted
Corresponding the qualification requirements for Master of Science in Computer Science or Machine Learning.
Kurslitteratur meddelas senast 4 veckor innan kursstart på kursens hemsida.
A, B, C, D, E, FX, 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.
Exam and home assignments.
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.
Computer Science and Engineering
Discuss with the instructor.
Linda Kann, e-post: email@example.com
In this course, the school's honor code is applied, see: