Artificial intelligence in design
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 330-8002/01 |
| Abbreviation | UID |
| Course title | Artificial intelligence in design |
| Credits | 5 |
| Coordinating department | Department of Applied Mechanics |
| Course coordinator | doc. Ing. Pavel Maršálek, Ph.D. |
Subject syllabus
1. Introduction: AI and 3D Design
2. Machine Learning Principles for 3D
3. Generative Design in Industrial Design
4. Machine Learning Applications in Photography
5. Parametric and Evolutionary Modeling
6. 3D Modeling from Text and Images
7. AI for Materials and Textures
8. AI and 3D visualization / rendering
9. AI in automotive design
10. AI in architecture and spatial design
11. Sustainability and eco-friendly design with AI
12. AI and personalized design
13. Presentation of student projects
2. Machine Learning Principles for 3D
3. Generative Design in Industrial Design
4. Machine Learning Applications in Photography
5. Parametric and Evolutionary Modeling
6. 3D Modeling from Text and Images
7. AI for Materials and Textures
8. AI and 3D visualization / rendering
9. AI in automotive design
10. AI in architecture and spatial design
11. Sustainability and eco-friendly design with AI
12. AI and personalized design
13. Presentation of student projects
E-learning
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Literature
[1] RUSSELL, Stuart J. a Peter NORVIG. Artificial Intelligence: A Modern Approach. 4th ed. Hoboken: Pearson, 2020. ISBN 978-0134610993 .
[2] RAVINDRAN, A., RAGSDELL, K. M., REKLAITIS, G. V. Engineering Optimization: Methods and Applications. 2. vydání. Hoboken: John Wiley & Sons, 2006. ISBN 978-0-471-55814-9 .
[3] BENDSØE, Martin P. a Ole SIGMUND. Topology Optimization: Theory, Methods and Applications. Berlin: Springer, 2003. ISBN 978-3-642-07698-5 .
[2] RAVINDRAN, A., RAGSDELL, K. M., REKLAITIS, G. V. Engineering Optimization: Methods and Applications. 2. vydání. Hoboken: John Wiley & Sons, 2006. ISBN 978-0-471-55814-9 .
[3] BENDSØE, Martin P. a Ole SIGMUND. Topology Optimization: Theory, Methods and Applications. Berlin: Springer, 2003. ISBN 978-3-642-07698-5 .
Advised literature
[1] ARMSTRONG, Helen a Keetra Dean DIXON. Big Data Big Design: Why Designers Should Care about Artificial Intelligence. New York: Princeton Architectural Press, 2021. ISBN 978-1616899154 .
[2] ANDERSON, Kence. Designing Autonomous AI: A Guide for Machine Teaching. Sebastopol: O’Reilly Media, 2023. ISBN 978-1098110751 .
[2] ANDERSON, Kence. Designing Autonomous AI: A Guide for Machine Teaching. Sebastopol: O’Reilly Media, 2023. ISBN 978-1098110751 .