Workload:
90 h
|
Module Number INFO-4195 |
Module Title AI for Scientific Discovery |
Lecture Type(s) Seminar |
|---|---|---|
| ECTS | 3 | |
|
Work load - Contact time - Self study |
Workload:
90 h Class time:
30 h / 2 SWS Self study:
60 h |
|
| Duration | 1 Semester | |
| Frequency | In the winter semester | |
| Language of instruction | English | |
| Type of Exam | Presentation and Discussion contributions |
|
| Content | This seminar will focus on practical applications of modern artificial intelligence (AI) methods that drive real scientific discoveries in natural sciences, mathematics, and computer science. We will analyze concrete examples and case studies of AI methods that have proven effective in practice. Students will learn how to critically chose and apply state-of-the-art AI techniques in real-world scientific scenarios, and actual scientific impact. |
|
| Objectives | Students will learn how to critically chose and apply state-of-the-art AI techniques in real-world scientific scenarios, and actual scientific impact. They will develop skills in critically assessing real-world applications of AI, emphasizing effectiveness and measurable impact. Participants will also improve their abilities in scientific communication through presentations and active discussions. |
|
| Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
| Prerequisite for participation | There are no specific prerequisites. | |
| Lecturer / Other | Krenn | |
| Literature | - |
|
| Last offered | unknown | |
| Planned for | Wintersemester 2025 | |
| Assigned Study Areas | INFO-INFO, MEDI-APPL, MEDI-INFO, ML-CS, ML-DIV | |