EPN-V2

DAVE3625 Introduction to Artificial Intelligence Course description

Course name in Norwegian
Introduksjon til Kunstig Intelligens
Study programme
Bachelor in Applied Computer Technology
Bachelor's Degree Programme in Software Engineering
Bachelor’s Programme in Electrical Engineering
Bachelor's Degree Programme in Mathematical Modelling and Data Science
Bachelor's Degree Programme in Information Technology
Weight
10.0 ECTS
Year of study
2024/2025
Curriculum
FALL 2024
Schedule
Programme description
Course history

Introduction

None.

Recommended preliminary courses

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

Discrete mathematics course at undergraduate level

Required preliminary courses

After completing this course, the student has the following learning outcomes, defined as knowledge, skills and general competence:

Knowledge

The student:

  • has basic knowledge of relevant processes and methods related to artistic work
  • has insight into art history, art and dissemination theory, as well as philosophical aesthetics

Skills

The student:

  • can explore and experiment in various artistic processes
  • can select and use suitable strategies in artistic, written, and oral communication
  • can disseminate art to a selected target group
  • can use artistic tools and relevant theory in own projects

General competence

The student:

  • has knowledge of diversity and multicultural perspectives
  • has insight into copyright matters related to the subject area
  • has knowledge of ethical challenges affecting the subject area

Learning outcomes

The course is organized in the form of artistic work and theoretical studies. Project work is an essential part of the study. Teaching takes place with an emphasis on progression, from common basic tasks to independently chosen topics. Presence in the workshop and active participation in the teaching are required. The course uses teaching methods such as lectures, seminars, supervision and debates. The student is expected to obtain relevant subject matter beyond the syllabus and is encouraged to use the learning centers and the resources offered there.

Teaching and learning methods

The course consists of lectures and seminars on techniques and methods, as well as a project to be carried out in groups of 2 to 4 students. The project will be chosen from a portfolio of available problems, either from industry partners or by the research groups. The students will work in groups and will submit an academic report and give an oral presentation. Lab sessions supporting the assignments will be provided.

Course requirements

All aids are permitted, if the rules for source referencing are complied with.

Assessment

Graded A-F.

Permitted exam materials and equipment

Two internal examiners. The course may be selected for grading by external examiners.

Grading scale

Ilmi G. Mathiesen

Examiners

Passed KDK1300 Introduction to Artistic Processes, KDK1400 Art and Dissemination in Digital Media, KDK1500 Experimentation and Contradiction, KDK1600 Introduction to Art Dissemination and KDK1700 Art or Design.