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KARAKTERFORDELING · H 2025
31 kandidater
Alle delene må normalt være bestått. Karakterfordelingen over gjelder emnet samlet.
Kilde: Felles studentsystem (FS) via Universitetet i Agder, slik den var publisert for høsten 2026. Universitetet i Agder er ikke ansvarlig for innholdet på denne siden.
UiA sin egen emnebeskrivelse — læringsutbytte, innhold og vurderingsform.
When adapting and implementing new technologies, such as powerful AI models, there are many things to take into consideration. This course will look at practical challenges in such processes but also focus on philosophical and ethical considerations in this context, as well as develop clear focus on critical thinking. Another aim of the course is to teach 21st-century skills and how they can be practically applied. The course is designed to enable learners to gain hands-on experience through various activities and projects using tools that are essential for any master student. The course is divided in to five modules which are dedicated to each of the learning outcomes.
The course will have a very practical approach and underline the connection between the main parts of the course. Implemented in the course students will also gain an understanding of the importance of data protection and general security measures connected to research and academic processes. Students will gain an understanding of the significance of ethical practices in all aspects of academia and the challenges the introduction of new technologies might pose.
On successful completion of the course, the student should:
The course will be taught using a hybrid approach with a mix of physical and digital lectures with online resources, group discussions, peer reviews and practical work with concrete tools.
Expected workload for students is 200 hours.
The assessment for this course is based on a graded portfolio submission, which counts for 100% of the final grade.
The portfolio consists of a group project, an individual written report, and an oral presentation. Detailed information about the portfolio requirements and the weighting of the different components in the assessment will be provided in Canvas at the start of the semester.
It is not allowed to deliver improved versions of the project in connection with new or postponed examinations.
Kilde: Felles studentsystem (FS) via Universitetet i Agder, slik den var publisert for høsten 2026. Universitetet i Agder er ikke ansvarlig for innholdet på denne siden.
Hva burde andre vite før de tar dette? Anonymt, ingen innlogging.
Basert på hvor kandidatene til eksamen var registrert (DBH).
Emner som tas i de samme studieprogrammene som MM-410.
| Semester | Kandidater | Stryk |
|---|---|---|
| Høst 2025 | 31 | 0 % |
| Vår 2025 | 15 | 0 % |
| Høst 2024 | 16 | 0 % |
| Høst 2023 | 11 | 0 % |
| Høst 2022 | 15 | 0 % |