IKT115 Introduction to Artificial Intelligence Technology
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leaders:
-
- Christian Walter Peter Omlin
- Rebekka Olsson Omslandseter
- Lecture Semester:
- Spring, Autumn
- Teaching language:
- Norwegian
- Duration:
- 1 term
The course is connected to the following study programs
- Free-standing Courses
Teaching language
NorwegianCourse 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.
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
Teaching methods
A combination of physical and digital lectures, group work and course assignments. The expected workload is 67,5 hours.
Evaluation
A digital evaluation will be organised in accordance with the quality system for education, chapter 4.1.
Offered as Single Standing Module
Yes
Assessment methods and criteria
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.
Other information
The course is available for up to 250 students. If there are more than 250 students applying for the course, the students will be ranked in the following order:
- Students in the 3rd and 4th semesters of master's programs, respectively.
- Students in the 5th and 6th semesters of bachelor's programs, respectively.
- Students in the 1st and 2nd semesters of master's programs, respectively.
- Students in the 3rd and 4th semesters of bachelor's programs, respectively.
- Other students.
Ranking within each group is determined by drawing lots.
The ranking criterias are given according to § 17 (4) in the Regulations for Studies and Examinations at the University of Agder.