STK2100 – Machine Learning and Statistical Methods for Prediction and Classification

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

STK2100 gives an introduction to different methods for supervised learning (regression and classification). The course contains both model and algorithm based approaches. The main focus is supervised learning, but also unsupervised methods like clustering will be briefly discussed. The course also deals with issues connected to large amounts of data (’big data’).

The course gives a good basis for further studies in statistics or Data Science, but is also useful for students who need to perform data analysis in other fields.

Learning outcome

After completing the course you:

  • know the fundamental principles for supervised learning (regression and classification), and also how to evaluate such methods
  • can master many different methods for supervised learning, including linear models, logistic regression, tree-based methods, bootstrapping and other simulation-based methods, dimension reduction and regularization, bagging and boosting and support vector machines
  • have knowledge on issues connected to high-dimensional data
  • have knowledge of problems connected to large amounts of data and methods for unsupervised learning.

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

Teaching

3 hours lectures and 2 hours exercise sessions every week of the semester.

Examination

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

This course has 2-4 mandatory assignments that must be approved before you can sit the final exam.

Examination support material

Approved calculator and formula lists for STK2100.

Information about approved calculators (Norwegian only)

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) Dec. 5, 2021 12:27:00 PM

Facts about this course

Credits
10
Level
Bachelor
Teaching
Spring
Examination
Spring
Teaching language
Norwegian (English on request)