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| Detailed information |
| Original study plan |
Bachelor's programme Transformation Studies. Art x Science 2024W |
| Objectives |
Discussing a series of historical examples of transformation processes, students will understand (a) what are the basic capabilities of computer systems, (b) what are the strengths and limitations of addressing a task with classic algorithms, and (c) what are the strengths, limitations and risks of using machine learning and AI instead. Students can differentiate classic and AI approaches and judge the relevance of either for specific future transformation processes.
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| Subject |
Basics of Von Neumann architecture, imperative programming,
databases, networking; basics of regression, classification, neural
networks, deep learning
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| Criteria for evaluation |
Combined assessment of homework and a final exam
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| Methods |
Slide presentations and live discussions
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| Language |
English |
| Study material |
Electronic course material provided for download
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| Changing subject? |
No |
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