Schedule, syllabus and examination date

Choose semester

Course content

Digital images and their properties. Data structures for image analysis. Construction of 2D and 3D filters for image enhancement and analysis. Segmentation and description of objects in images. Pattern recognition. Supervised and unsupervised classification.

Learning outcome

The student will bet a basic understanding of concepts, methods and applications of image analysis, pattern recognition, and image classification.

Admission

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

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

Prerequisites

Recommended previous knowledge

INF1010 - Object oriented programming (continued)/INF101 and MAT1100 - Calculus/MAT100. INF2310 - Digital bildebehandling/INF 160.

Overlapping courses

Teaching

2 hours of lectures and 2 hours of exercises per week. The course includes mandatory assignments. Rules for mandatory assignments.

Examination

Oral or written examination (4 hours). All mandatory assignments have to be accepted in order to take the exam.

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.

It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: INF269 and INF3300

Other

It is strongly recommended to attend the first lecture since it will be given important information.

Facts about this course

Credits

10

Level

Master

Teaching

Every autumn

Examination

Every autumn

Teaching language

Norwegian (English on request)