Table of contents

The course is connected to the following study programs

  • Applied Artificial Intelligence 1, one-semester programme

Teaching language

English

Learning outcomes

Upon successful completion of the course, students will be able to:

  • Describe key AI concepts and historical milestones.
  • Explain how AI systems solve real-world problems.
  • Discuss the ethical implications of AI.
  • Evaluate the impact of AI on society and industries.

Contents

This course provides a broad, non-technical introduction to artificial intelligence, its history, and its evolution. It explores key concepts such as machine learning, deep learning, neural networks, and the distinctions between narrow, general, and superintelligent AI. Students will learn how AI systems function and the types of problems they solve across industries like healthcare, finance, marketing, and operations. The course also emphasizes ethical and societal implications, including AI’s impact on privacy, job displacement, and bias. By the end of this course, students will be equipped with the foundational knowledge needed to understand AI's potential and limitations.

Teaching and learning methods

The course is given online and is organized in combination of lectures, assignments, paper studies, labs, report writing and self-study. The tasks are done individually or in small groups with group supervision. The workload for the average student is approximately 135 hours.

Examinations

Graded portfolio assessment, individually or in groups. Groups are given joint grades. Information about the content of the portfolio will be given in Canvas at the start of the semester.

Student evaluation

The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.

Offered as a free-standing course

Yes

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course Reduction of Credits
IKT115 – Introduction to Artificial Intelligence Technology. 2.5
IKT902 – Introduction to Artificial Intelligence Technology. 2.5
Last updated from FS (Felles studentsystem) Oct. 15, 2026 2:26:13 PM