STK3100 – Introduction to Generalized Linear Models

Schedule, syllabus and examination date

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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 gives an overview over important models and techniques for regression analysis outside standard linear regression. In particular, the students will learn how to extend the linear model for response variables with binary/binomial, Poisson and gamma distributions. Furthermore, the students will learn about regression methods for dependent response variables.

Learning outcome

After completing the course you will:

  • be familiar with the exponential family of distributions and know that the normal, the binomial, the Poisson, and the gamma distributions belong to this family
  • know the class of generalized linear models (GLM) as regression models with responses from the exponential family of distributions
  • be trained in analyzing data from important special cases of GLMs, in particular, logistic regression and Poisson regression
  • know the concepts of link functions for modeling the correspondence between the expected value of the responses and covariates and of variance functions for specifying the correspondence between the expected values and variances of the responses
  • be familiar with extensions of the GLM framework using quasi-likelihood based on specified link and variance functions
  • know extensions of GLMs that enable modeling and analysis of dependent responses, in particular variance component models and mixed models with both fixed and random components.

Admission to the course

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.

Special admission requirements

In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:

  • Mathematics R1 (or Mathematics S1 and S2) + R2

And in addition one of these:

  • Physics (1+2)

  • Chemistry (1+2)

  • Biology (1+2)

  • Information technology (1+2)

  • Geosciences (1+2)

  • Technology and theories of research (1+2)

The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies (in Norwegian).

Overlapping courses


5 hours of lectures/exercises per week throughout the semester.

The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.


Final written exam which counts 100 % towards the final grade. 

This course has 2 mandatory assignments that must be approved before you can sit the final exam.

It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: STK4100 – Introduction to Generalized Linear Models

Examination support material

Approved calculators are allowed. Information about approved calculators in Norwegian.

Language of examination

Courses taught in English will only offer the exam paper in English. 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

This course offers both postponed and resit of examination. Read more:

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Oct. 17, 2021 6:32:56 PM

Facts about this course

Teaching language