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Blekinge Institute of Technology
Department of Computer Science
Revision: 1
Reg.no:
Course syllabus
Generative Artificial Intelligence
Generative Artificial Intelligence
6 credits (6 högskolepoäng)
Course code: DV2658
Main field of study: Computer Science
Disciplinary domain: Technology
Education level: Second-cycle
Specialization: A1F - Second cycle, has second-cycle course/s as entry requirements
Language of instruction: English
Applies from: 2025-03-13
Approved: 2025-03-13
1. Descision
This course is established by Dean 2024-10-31. The course syllabus is approved by Head of Department of Computer Science 2025-03-13 and applies from 2025-03-13.
2. Entry requirements
Admission to the course requires completed course in applied artificial intelligence, 6 credits, as well as taken course in machine learning, 6 credits.
3. Objective and content
3.1 Objective
This course offers a comprehensive introduction to the theory and practical applications of generative AI, assisting students to create content such as text, images and audio.
Participants will learn key technologies including Variational Autoencoders (VAEs), Transformers, Generative Adversarial Networks (GANs), and Large Language Models (LLMs) for text generation. The course also covers generative AI techniques for media creation and the tools utilized in image and audio generation. By the end of the course, students will acquire hands-on experience in using, modifying, designing, and implementing generative AI models, equipping them with the skills necessary to take advantage of generative AI for different projects.
3.2 Content
4. Learning outcomes
The following learning outcomes are examined in the course:
5. Learning activities
6. Assessment and grading
Modes of examinations of the course
| Code | Module | Credit | Grade |
| 2510 | Written assignment | 3 credits | AF |
| 2520 | Project Assignment | 3 credits | GU |
The course will be graded A Excellent, B Very good, C Good, D Satisfactory, E Sufficient, FX Failed result, a little more work required, F Fail.
The examiner may carry out oral follow-up of written examinations.
The information before the start of the course states the assessment criteria and make explicit in which modes of examination that the learning outcomes are assessed.
An examiner can, after consulting the Disability Advisor at BTH, decide on a customized examination form for a student with a long-term disability to be provided with an examination equivalent to one given to a student who is not disabled.
7. Course evaluation
The course evaluation should be carried out in line with BTH:s course evaluation template and process.
8. Restrictions regarding degree
The course can form part of a degree but not together with another course the content of which completely or partly corresponds with the contents of this course.