Table of contents

The course is connected to the following study programs

Teaching language

English

Learning outcomes

After completion of the course, the student is expected to:

  • have obtained insight into the theory, foundations, implementation and applications of Artificial Intelligence (AI)
  • be trained to solve, using AI-based tools, research problems within the other areas in which UiA has expertise, such as communications and security

Contents

The course will provide insight into the theory, foundations, implementation and applications of Artificial Intelligence (AI). It will bestow the students with the ability to use AI-methodologies in any application domain. The topics that will be covered will include: Recent approaches to machine learning and data mining, knowledge based systems, inference methods, fuzzy systems, heuristic search, and natural language processing. Finally, the student will be required to undertake a project involving recent industrial applications.

Teaching and learning methods

Lectures, exercises and project work.

Examination requirements

Approved project report and exercises.

Examinations

Project report and exercises. Pass/Fail.

Student evaluation

The course will be evaluated in accordance with the quality system for education, chapter 4.1.

Offered as a free-standing course

Yes. Subject to availability or capacity.
Last updated from FS (Felles studentsystem) Oct. 15, 2026 2:03:04 PM