Schedule, syllabus and examination date

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Teaching and exams spring 2022

At the MN Faculty teaching is in-person this spring, but there may still be cases of online or hybrid teaching.

Please see the semester page, Canvas or your regular channel of information for changes in teaching and form of examination.

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´ll:

  • have good knowledge on methods for texture analysis and the assumptions behind them.
  • have good knowledge of object shape representation and description.
  • understand the theory and the linear algebra behind central methods for supervised classification of images, in particular Gaussian classifiers.
  • 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.
  • know the theory behind central methods for feature selection and linear feature transforms.

Admission to the course

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.

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

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 get all mandatory assignments approved before the exam.

Examination

Oral or written exam (4 hours) dependent on the number of student.

All mandatory assignments must be approved 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: INF4300 – Digital image analysis (continued), INF9305 – Digital Image Analysis (continued), IN9520 – Digital Image Analysis

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 scale from A to F, where A is the best grade and F is a fail. 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) May 18, 2022 11:20:35 PM

Facts about this course

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