Schedule, syllabus and examination date

Choose semester

Exams after the reopening

As a general rule, exams will be conducted without physical attendance in the autumn of 2021, even after the reopening. See the semester page for information about the form of examination in your course. See also more information about examination at the MN Faculty in 2021.

Course content

The course covers methods for analysis of digital images, segmentation, and object description. Central topics are feature extraction and classification of objects in images.

Learning outcome

After this course:

  • You have very good knowledge on methods for texture analysis and the assumptions behind them.
  • You have very good knowledge of object shape representation and description.
  • You can apply the theory and the linear algebra behind central methods for supervised classification of images, in particular Gaussian classifiers.
  • You understand the concept of curse-of-dimensionality and can use the theory in practice to carefully choose a subset of features and control the complexity of the classifier robustly.
  • You can use the theory behind central methods for feature selection and linear feature transforms.

Admission to the course

PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.

If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.

PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.

INF1010 – Object oriented programming (continued)/INF1100 – Introduction to programming with scientific applications (continued), IN1000 – Introduction to Object-oriented Programming, IN1900 – Introduction to Programming with Scientific Applications, INF2310 – Digital bildebehandling (continued), MAT1110 – Calculus and Linear Algebra

Overlapping courses

Teaching

2 hours of lectures and 2 hours of exercises each week. You must pass all mandatory assignments before the exam. PhD-students are given an extended mandatory project.

Examination

Oral or written exam (4 hours) dependent on the number of student. PhD students are given additional exercises.

All mandatory assignments must be passed prior to the exam.

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: IN5520 – Digital Image Analysis, INF4300 – Digital image analysis (continued), INF9305 – Digital Image Analysis (continued)

Examination support material

Approved calculator

Language of examination

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

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.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Oct. 26, 2021 9:27:12 PM

Facts about this course

Credits
10
Level
PhD
Teaching
Autumn
Examination
Autumn
Teaching language
Norwegian (English on request)