KIUA2003 Application of artificial intelligence/machine learning II
- Course codeKIUA2003
- Number of credits15
- Teaching semester2026 Autumn
- Language of instruction and examinationNorwegian/English
- CampusHamar
- Required prerequisite knowledge
Recommended: KIUA2002 Application of artificial intelligence/machine learning I
This course provides a comprehensive introduction to state-of-the-art AI and ML technologies. Students will learn the practical application of these technologies for generalised contexts. This course also provides an understanding of the needs of these contexts in which these technologies can be applied. This will allow students to critically assess the relevance of such technologies for such contexts. In addition, students will continue to develop general skills in project planning and knowledge sharing.
Learning outcome
Upon successfully passing the course, students will have achieved the following learning outcomes:
Students have:
- Knowledge about the use of state-of-the-art AI and ML technologies
- Knowledge about needs in generalised contexts for such AI and ML technologies
- Knowledge about such AI and ML technology integration challenges in generalised contexts
Students can:
- Understand and be able to use state-of-the-art AI and ML technologies
- Identify needs in generalised contexts that can be met using such AI and ML technologies
- Use such AI and ML technologies and tools in generalised contexts
- Critically assess the relevance of such AI and ML technologies and tools in generalised contexts
Students can:
- Use state-of-the-art AI and ML technologies for real-world problems
- Critically evaluate the relevance of such AI and ML technologies and tools in real-world contexts
- Work in collaborative projects through different activities
The course comprises a combination of lectures, practical exercises, independent study and academic supervision.
- 2 individual pieces of required coursework, compulsory physical attendance on campus.
- Attendance in classes/teaching sessions is mandatory, where physical attendance on campus is required. There is an 80% attendance requirement in teaching sessions and a 100% attendance requirement in specific learning activities. This is in accordance with the teaching plan for each course in the programme of study.
| Form of assessment | Grading scale | Grouping | Duration of assessment | Support materials | Proportion | Comments |
|---|---|---|---|---|---|---|
Written assignment | ECTS - A-F | Group | 100% |
- 1 project-based group assignment
Students may choose which language to use for their examination. The available options are Norwegian Bokmål, Norwegian Nynorsk and English.
Permitted examination support material:
- Literature
- All printed and written resources
- Any use of AI-generated text and content must be clarified with the lecturer, clearly labelled and academically justified in the submission