EPN-V2

DAVE3625 Introduksjon til Kunstig Intelligens Emneplan

Engelsk emnenavn
Introduction to Artificial Intelligence
Studieprogram
Bachelorstudium i anvendt datateknologi
Bachelorstudium i ingeniørfag - data
Bachelorstudium i ingeniørfag - elektro
Bachelorstudium i ingeniørfag – matematisk modellering og datavitenskap
Bachelorstudium i informasjonsteknologi
Omfang
10.0 stp.
Studieår
2025/2026
Pensum
HØST 2025
Timeplan
Programplan
Emnehistorikk

Innledning

This course provides a broad introduction to Artificial Intelligence (AI), with methodologies and techniques that can be applied to different application domains. The course will balance theoretical approaches and practical tasks.

Anbefalte forkunnskaper

Basic programming skills (C, Python, Java, or similar programming language)

Forkunnskapskrav

None

Læringsutbytte

On successful completion of the course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence.

Knowledge

The student:

  • Knows how the field of artificial intelligence developed historically
  • Is familiar with the main artificial intelligence theories and has a practical understanding of the development and use of artificial intelligence
  • Can reflect on the practical, social and ethical implications of the development of artificial intelligence
  • Has an understanding of the current application areas of artificial intelligence

Skills

The student:

  • Has the theoretical and practical skills to build simple artificial intelligence systems
  • Can use a variety of state-of-the-art artificial intelligence techniques in different application domains
  • Can evaluate the technical quality and practical value of various types of artificial intelligence

Competence

The student:

  • Has both theoretical and practical understanding of artificial intelligence methods
  • Is able to solve real-life problems using artificial intelligence methods

Arbeids- og undervisningsformer

The course consists of lectures and seminars on techniques and methods.

The students will work in groups for the mandatory assignments. Lab sessions supporting the assignments will be provided.

Arbeidskrav og obligatoriske aktiviteter

3 compulsory assignments done in groups of 2-4 students must be approved in order to be admitted to the final exam.

Vurdering og eksamen

Individual written examination (4 hours).

The exam result can be appealed.

In the case of a new and postponed exam, another form of exam can also be used or a new assignment with a new deadline is given. If an oral examination is used, this cannot be appealed.

Hjelpemidler ved eksamen

No support materials are allowed for the written exam.

Vurderingsuttrykk

Grade scale A-F.

Sensorordning

Two examiners. External examiner is used periodically.