Künstliche Intelligenz in der Medikamentenentwicklung
Titel auf Englisch: Artificial Intelligence for Drug Design
Lernergebnisse
After successfully completing the module, students have insight into this exciting field of application for Artificial Intelligence (AI). They are able to acquire research literature and to present the topic orally as well as in a written report.
Inhalte
AI is revolutionizing drug design both for small molecule drugs - the prevalent drug modality - and novel modalities such as oligonucleotide therapeutics. Some of the progress has been achieved by transferring methods from established AI areas such as NLP. For other areas novel methodological developments were instrumental, with very exciting developments on the intersection between molecular dynamics and AI. The focus of the seminar will be on state-of-the-art methods and applications of AI in drug design for small molecule drugs and oligonucleotide therapeutics.
Voraussetzungen
Verpflichtende Voraussetzungen
Keine
Empfohlene Voraussetzungen
Working knowledge of probability/statistics and modern machine learning methods.
Prüfungsmodalitäten
- Seminar presentation, 30-45 min depending on the subject (40%)
- Report on the topic of the seminar presentation, 10-15 pages (40%)
- Active participation (20% of the total points)
Angeboten in
- Artificial IntelligenceM.Sc.
Wahlpflichtkomplex: Seminars or Laboratories
- Mathematical Data ScienceM.Sc.
Wahlpflichtkomplex: Data Science Applications
| Studiengang | Abschluss | Wahlpflichtkomplex |
|---|---|---|
| Artificial Intelligence | M.Sc. | Seminars or Laboratories |
| Mathematical Data Science | M.Sc. | Data Science Applications |
Literatur und Materialien
A list of original literature will be made available at the beginning of the semester.
Bewertungen von Studierenden
Was Studierende über dieses Modul sagen. Die BTU hat damit nichts zu tun — hier schreiben nur Studierende, und jede Bewertung ist die Meinung einer einzelnen Person.