|
Root number
|
102469 |
Semester
|
FS2024 |
Type of course
|
Seminar |
Allocation to subject
|
Computer Science |
Type of exam
|
not defined |
Title |
Seminar in Machine Learning and Artificial Intelligence |
Description |
This course aims at providing an overview and understanding of the state of the art research in Ai, computer vision and machine learning. Moreover, it will allow students to develop soft skills such as: critical analysis, presenting, and team work. Recent publications are discussed in detail so that students can build a deep understanding of the methodologies and concepts in these fields. This is a continuous evaluation course. Thus, every discussion and presentation of the students is used in their assessment. Some sessions may be substituted by seminars from external speakers. |
ILIAS-Link (Learning resource for course)
|
|
Link to another web site
|
|
Lecturers |
Prof. Dr.
Paolo Favaro, Institute of Computer Science ✉
|
ECTS
|
5 |
Recognition as optional course possible
|
Yes |
Grading
|
1 to 6 |
|
Dates |
Monday 10:15-12:00 Weekly
|
|
Rooms |
Seminarraum 111, Engehalde, E8
|
|
Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |