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Root number
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472867 |
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Semester
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HS2026 |
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Type of course
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Lecture |
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Allocation to subject
|
Artificial Intelligence in Medicine |
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Type of exam
|
Written exam |
| Title |
From Natural Language Processing to Large Language Models |
| Description |
Teaching assistants:
TBA
Module:
Applications
Prerequisites:
• Basic programming knowledge (preferably Python)
• Basic understanding of statistics and machine learning concepts
Required material or equipment:
- Laptop or another computer system
Textbook(s):
- NA
Course policies and classroom rules of conduct:
- Academic dishonesty, plagiarism, and any other kind of fraud will lead to the exclusion from the course.
- Attendance required
- Punctuality
- Homework and project must be handed on time |
|
ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
|
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Link to another web site
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| Lecturers |
Prof. Dr.
Benjamin Victor Ineichen, Department of Clinical Research ✉
|
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Prof. Dr.
Sarah Catharina Brüningk, University Clinic for Radiation Oncology ✉
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Timothy James Chopard, Department of Clinical Research - Medical Data Science ✉
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Lubnaa Abdur Rahman, University of Bern - ARTORG Center for Biomedical Engineering Research ✉
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Rosni Kottekulam Vasu, Department of Clinical Research - Medical Data Science ✉
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ECTS
|
3 |
|
Recognition as optional course possible
|
Yes |
|
Grading
|
1 to 6 |
| |
| Dates |
Tuesday 12:15-14:00 Weekly
|
|
Tuesday 26/1/2027 10:00-12:15
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| |
| Rooms |
Seminarraum 115, Hauptgebäude H4
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| |
| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |