Subject description - BECM36STAI
Summary of Study |
Summary of Branches |
All Subject Groups |
All Subjects |
List of Roles |
Explanatory Notes
Instructions
| BECM36STAI | Selected Topics in AI | ||
|---|---|---|---|
| Roles: | P | Extent of teaching: | 2P+2C |
| Department: | 13136 | Language of teaching: | EN |
| Guarantors: | Kroupa T. | Completion: | KZ |
| Lecturers: | Too many persons | Credits: | 6 |
| Tutors: | Too many persons | Semester: | L |
Web page:
https://cw.fel.cvut.cz/b252/courses/becm36stai/startAnotation:
The course aims to immerse students in the forefront of artificial intelligence research, covering current challenges, significant areas of study, and emerging trends in the field. This course will delve into various advanced topics, providing an understanding of contemporary AI issues and innovations.Content:
The set of covered topics is updated regularly. In 2025/2026 the course is organised into four thematic blocks:| 1) | Explainable AI with Shapley value | |
| 2) | Generative models (GANs, diffusion, applications) | |
| 3) | Planning for autonomous robots | |
| 4) | SAT and SMT solving (computational logic, modern SAT/CDCL, SMT, applications) |
Course outlines:
Exercises outline:
Literature:
Selected papers from recent AI conferences (ICCV, CVPR, ECCV, IROS, ICRA, AAAI, AAMAS), journals, and books.Requirements:
Subject is included into these academic programs:| Program | Branch | Role | Recommended semester |
| MPPRGAI_2025 | Common courses | P | 2 |
| Page updated 20.4.2026 05:51:04, semester: Z/2026-7, Z/2025-6, L/2028-9, L/2027-8, L/2029-30, L/2026-7, L/2025-6, Z/2027-8, Z/2028-9, Send comments about the content to the Administrators of the Academic Programs | Proposal and Realization: I. Halaška (K336), J. Novák (K336) |