KIUA2004 Development I
- Course codeKIUA2004
- Number of credits15
- Teaching semester2027 Spring
- Language of instruction and examinationNorwegian/English
- CampusHamar
- Required prerequisite knowledge
Recommended: KIUA2000 Machine learning
This course provides a comprehensive introduction to the development of practical and useful AI and ML technologies. This course will also guide students on the gathering of requirements from general contexts. Students will be taught how to use these requirements to develop such AI and ML technologies. Through this course, students will also learn about integration readiness for such AI and ML technologies in relation to general contexts. Students will continue to develop general skills in project planning and knowledge sharing as part of this course.
Learning outcome
Upon successfully passing the course, students will have achieved the following learning outcomes:
Students have:
- Knowledge about the development of practical and useful AI and ML technologies
- Knowledge about requirements from general contexts for developing such AI and ML technologies
- Knowledge about preparing such AI and ML technology integration readiness in relation to general contexts
Students can:
- Understand and develop practical and useful AI and ML technologies
- Systematically gather requirements from general contexts that can guide the development of such AI and ML technologies
- Develop such AI and ML technologies in terms of integration readiness in generalised contexts
Students can:
- Develop practical and useful AI and ML technologies for real-world problems
- Develop integration-ready AI and ML technologies and tools in relation 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