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Dette er studietilbudet for studieår 2019-2020. Endringer kan komme.


Introduction to statistical learning, multiple linear regression, classification, resampling methods, model selection/regularization, non-linearity, tree-based methods.

Learning outcome

1. Knowledge. The student has knowledge about the most popular statistical models and methods that are used for prediction in science and technology, with emphasis on regression- og classification-type statistical models.
2. Skills. The student knows, based on an existing data set, how to choose a suitable statistical model, apply sound statistical methods, and perform the analyses using statistical software (R). The student knows how to present the results from the statistical analyses, and which conclusions can be drawn from the analyses.

Contents

Statistical learning, multiple linear regression, classification, resampling methods, model selection/regularization, non-linearity, tree-based methods.

Required prerequisite knowledge

None.

Recommended prerequisites

MAT100 Mathematical Methods 1, MAT200 Mathematical Methods 2, STA100 Probability and Statistics 1, STA500 Probability and Statistics 2, STA510 Statistical modeling and simulation

Exam

Weight Duration Mark Supporting materials
Projectworks and written exam1/1 A - F
1) Project work, weight: 1/4 2) Project work, weight: 2; 1/4 3) Written exam, weight: 1/2. Both the project work and the exam must have a pass grade to pass the course. Teacher calculates the overall grade. Candidates who fail on the project assignments will not be able to submit new project assignments until the next time the course is taught.

Course teacher(s)

Course coordinator
Jan Terje Kvaløy , Bjørn Henrik Auestad

Method of work

Lectures, exercises/datalab

Open to

Master studies at the Faculty of Science and Technology

Course assessment

Form and/or discussion

Literature

Selected chapters from:
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani: An Introduction to Statistical Learning with Applications in R; Springer. Latest edition.


Dette er studietilbudet for studieår 2019-2020. Endringer kan komme.

Last updated: 11.12.2019