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Høst 2022

FYS-2021 Machine Learning - 10 stp

The course is administrated by

Institutt for fysikk og teknologi

Type of course

The course is available as a singular course. The course is also available to exchange students and Fulbright students.

Course contents

The course will introduce the students to the fundamental concepts in machine learning and will study widely used and popular machine learning algorithms for analysing data in the modern society. The course will cover elementary methods for both supervised and unsupervised learning, both for regression and classification. Supervised methods will include technologies such as decision trees, linear discrimination and neural networks. TUnsupervised methods covered will include machine learning methods based on linear algebra as well as standard clustering methods. The course will have a significant practical component, in which various applications will be treated in the form of case studies.

Application deadline

Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester. 

Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.

Admission requirements

Generell studiekompetanse eller realkompetanse + SIVING

Local admission, application code 9391 - enkeltemner i ingeniørfag.

Objective of the course

Knowledge - The student is able to:

Skills - The student is able to:

General expertise - The student is able to:

Language of instruction

The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

Teaching methods

Lectures: 30 hours

Exercises : 30 hours

Date for examination

School exam 13.12.2022;Off campus exam hand out date 24.10.2022 hand in date 07.11.2022

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.