course-details-portlet

TMA4268 - Statistical Learning

About

Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Examination aids
School exam 100/100 4 hours G

Course content

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

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- of classification-type statistical models.

2. Skills. The student can, based on an existing data set, choose a suitable statistical model, apply sound statistical methods, and perform the analyses using statistical software. The student can present, interpret and communicate the results from the statistical analyses, and knows which conclusions can be drawn from the analyses, and what are the caveats.

Learning methods and activities

Lectures, exercises and compulsory works (projects). The assessment is a final written examination (100%), whereas two projects need to be completed as compulsory activities, where at least 60% of the points must be reached to be admitted to the exam.

Compulsory assignments

  • Project

Further on evaluation

The retake exam may be changed to an oral exam. The retake exam is in August.

Course materials

The course material will be communicated at the beginning of the semester.

Credit reductions

Course code Reduction From To
BBAN4001 7.5 AUTUMN 2020
TIØ4557 2.0 AUTUMN 2023
More on the course

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Statistics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Mathematical Sciences