Syllabus¶
Course Structure Overview¶
First, we gather insights about AI in general and generative AI (GenAI) in particular. We explore key technologies, tools, and applications in media contexts. Students will present on specific tools and conduct a small project using one or more AI applications. Then we discuss ethical, societal and environmental implications of GenAI.
| Part | Topics | Type | Sessions |
|---|---|---|---|
| 1 | Introduction & Foundations | Lecture + Discussion | 3 |
| 2 | GenAI Tools & Applications | Showcase + Demos + Projects | 5 |
| 3 | Implications of GenAI | Discussion + Debate + Talks | 3 |
(Preliminary) Weekly Breakdown¶
Last update: 2025-10-03
| Calendar Week | Topic | Type | Remarks |
|---|---|---|---|
| 40 | Introduction with MIB1 + Course Overview | Administration + Activity | Term kick-off with MIB1 |
| 41 | History and foundations of AI | Lecture + Discussion | Start with mind map |
| 42 | Generative AI | Lecture + Discussion | |
| 43 | GenAI Tools | Showcase + Research | Decision for project |
| 44 | First experiences | Demos + Workshop | Tool runs locally |
| 45 | AI in the industry | Activity + Discussion | Hochschulkontaktbörse |
| 46 | Tool presentations | Student presentations | Continue with mind map |
| 47 | GenAI Project status | Student presentations | Continue with mind map |
| 48 | GenAI Project presentation | Student presentations | Continue with mind map |
| 49 | Using AI to learn | Activity + Discussion | Complete mind map |
| 50 | AI in creative processes | Reading + Discussion | taz article |
| 51 | AI in creative processes | Reading + Discussion | New Yorker article |
| 02 | AI in creative processes | Practical Lab | |
| 03 | AI in creative processes | Practical Lab | |
| 04 | Rehearsal for colloquium | Student Talks |
Grading & Deliverables¶
Tool Presentation (30%)¶
- Tool will be presented (e.g., Midjourney, Runway ML) and a project plan
- Deliverables: Presentation 15 minutes including Q&A, hand-out
GenAI Project presentation (40%)¶
- Small-scale experiment using a GenAI tool
- Deliverables: Live demo (15 minutes including Q&A), documentation
Participation (30%)¶
- Active participation in sessions, discussions, and activities, including peer feedback
Tools & Resources¶
- We will use a variety of AI tools. We will compare local installations with cloud-based services.
- We will use Google Colab for cloud-based experiments and collaboration.
- We will use Ollama to run large language models (LLMs) locally on our machines.
Reading / Resources¶
- Selected articles, papers, and videos will be provided throughout the course.