Machine Learning



Mål og innhald

The course introduces Machine Learning, with a view towards data analysis applications. Topics covered are supervised learning (classification and regression) with deep learning, unsupervised learning including clustering, reinforcement learning, and the practice of machine learning.


A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:


The candidate

  • has theoretical knowledge about the principles of machine learning
  • has a basic understanding of the contemporary machine learning algorithms
  • has a broad knowledge about the use of machine learning in data analysis, its advantages and limitations


The candidate

  • can analyze and design machine learning solutions for data analysis applications

Studiepoeng, omfang


Studienivå (studiesyklus)



Krav til forkunnskapar
INFO132 or equivalent. Basic understanding of programming and algorithms.
INF264 (10 sp)
Krav til studierett

Emnet er ope for studentar med studierett på UiB.

Emnet har 200 studieplassar og opptak skjer etter søknad i StudentWeb.

Studentar som har emnet som obligatorisk i studieplanen vil være prioritert.

Søknadsfrist er mandag uke 2.

Du får svar på om du har fått plass på emnet seinast torsdag samme uke som fristen.

Arbeids- og undervisningsformer
Lectures, seminars and data labs, normally 2 + 2 hours per week for 12-15 weeks.
Obligatorisk undervisningsaktivitet

Participation: compulsory attendance at labs (at least 75%).

Approved compulsory requirements are valid for the two following semesters.

  • Group assignment where students demonstrate their ability to analyze and design machine learning solutions (30% of grade)
  • 2 hour digital home exam (70% of grade) - multiple choice exam
  • The exam assignment will be given in the language of instruction in the course.
    The exam answer must be submitted in the same language as the exam assignment.


    Assessment only in teaching semester.

    Students with valid absence as defined in the UiB regulations § 5-5 can apply for an extended submission deadline to The application must be submitted before the deadline for submission has expired.

    The reading list will be ready before 1 July for the autumn semester and 1 Decemeber for the spring semester. 
    Alle emne blir evaluert i tråd med UiBs kvalitetssystem for utdanning.
    Hjelpemiddel til eksamen
    All written material in paper form is allowed on the exam.
    The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
    Administrativt ansvarleg
    The Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course