STK3100 – Introduction to Generalized Linear Models
Course description
Schedule, syllabus and examination date
Course content
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
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)
- Social economy (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).
Recommended previous knowledge
Overlapping courses
- 10 credits overlap with STK2000 – Some central models and methods in statistic (discontinued).
- 10 credits overlap with ST-IN216.
- 10 credits overlap with STK4100 – Introduction to Generalized Linear Models.
- 5 credits overlap with STK3900 – Statistical methods and applications (discontinued).
- 5 credits overlap with STK4900 – Statistical Methods and Applications.
- 5 credits overlap with ST301.
- 5 credits overlap with ST301.
- 5 credits overlap with ST202.
- 5 credits overlap with ST213.
- 5 credits overlap with STK9900 – Statistical Methods and Applications.
- 3 credits overlap with ST202A.
Teaching
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.
Examination
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
Language of examination
Grading scale
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.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.