Skriv ut Lukk vindu


Høst 2022

FYS-3032 Health data analytics - 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.

The course will only be taught if there are sufficiently many students. Please contact the student adviser as soon as possible if you are interested in following the course.

Course overlap

FYS-8032 Health data analytics 8 stp

Course contents

The course will study machine learning methods and algorithms used for analysing and interpreting the vast amounts of data acquired within the healthcare system. Focus will be on information extraction by pattern analysis and statistical inference from health data in order to derive clinically relevant decision support systems. The course will in addition to machine learning algorithms contain elements of image processing, pattern recognition and statistics. It has a significant practical component, in which various applications will be discussed.

Application deadline

Applicants from countries within EU/EEA: June 1st for the autumn semester and December 1st for the spring semester.

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

Admission requirements

Admission requirements are a Bachelor's degree in physics or similar education, including specialization in physics worth the equivalent of not less than 80 ECTS credits. Local admission, application code 9371 - singular course at Master's level.

Objective of the course

Knowledge - The student can:

Skills - The student can:

General expertise - The student can:

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

Off campus exam hand out date 24.10.2022 hand in date 10.11.2022

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