IKT115 Introduction to Artificial Intelligence Technology (Spring 2024)
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Rebekka Olsson Omslandseter
- Lecture Semester:
- Autumn and Spring
- Duration:
- ½ year
Table of contents
The course is connected to the following study programs
Learning outcomes
After completion of this course, students will
- have acquired knowledge of AI basics and history, terminology, major AI paradigms, and overview of AI applications
- be able to comprehend, summarize, and report on AI applications in their respective disciplines
- be able to analyze aspects and evaluate perspectives of AI application in their discipline for society and impact on achieving UN SDGs
- have developed an AI application using no-coding tools
Contents
Artificial intelligence is becoming ubiquitous in modern society and the development and introduction of and our interactions with AI technologies in all disciplines will only accelerate. It is thus imperative that students in all disciplines become familiar with some of the basic concepts of AI. This course will give a basic overview of machine learning paradigms and their applications and discuss the possibilities and limitations of AI, also concerning the UN SDGs and the challenges of acceptance of AI in society. Guest lecturers will be invited to give informative presentations on real-world applications of AI. Students will be encouraged to consider the potential applications of AI in their discipline. A non-programming project will give them some hands-on experience developing an AI application.
Teaching and learning methods
A combination of physical and digital lectures, group work and course assignments. The expected workload is 67,5 hours.
Examinations
Portfolio assessment. Graded pass/fail. More information about the portfolio will be given in Canvas. There will not be arranged a postponed exam for the portfolio.
Student evaluation
A digital evaluation will be organised 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 |
|---|---|
| IKT902 – Introduction to Artificial Intelligence Technology. | 2.5 |
| IKT116N – Introduction to Artificial Intelligence. | 2.5 |
Last updated from FS (Felles studentsystem)
Oct. 15, 2026 10:55:30 AM