Schedule, syllabus and examination date

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Course content

Bayesian decision theory, supervised learning, parametric and non-parametric methods, linear discriminant functions, feature extraction, unsupervised learning, cluster analysis, syntactic methods.

Learning outcome

After completing the course, you will be able to:

  • describe the field of classification theory and pattern recognition
  • design and evaluating classifiers using proper methods for the problem at hand


Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.

Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.


Formal prerequisite knowledge


Recommended previous knowledge

MAT1120 – Linear Algebra MAT1110 – Calculus and Linear Algebra STK1000 – Introduction to Applied Statistics

Overlapping courses


3 hrs. lectures and exercises per week. There will be mandatory assignments that need to be approved in order to attend the exam.


Oral exam at the end of the semester. In case of many students, there may be held a written exam.

In order to take the exam, mandatory assignments needs to be approved.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Explanations and appeals

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.

Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.

Withdrawal from an examination

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

Exam attempts in this course is counted together with UNIK4590 – Pattern Recognition (continued).

The course was previously called UNIK4590 – Pattern Recognition (continued).

Facts about this course






Every autumn


Every autumn

Teaching language