Lecture: Introduction to Biomedical Systems Modeling and Data Science - Details

Lecture: Introduction to Biomedical Systems Modeling and Data Science - Details

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General information

Course name Lecture: Introduction to Biomedical Systems Modeling and Data Science
Course number INF-0516
Semester SS 2024
Current number of participants 8
Home institute Lehrstuhl für Modellierung und Simulation biologischer Prozesse - Prof. Dr. Andreas Raue
Courses type Lecture in category Teaching
First date Monday, 02.09.2024 10:00 - 12:00, Room: (Seminarraum N-1055)
Pre-requisites For the computer practice, the plan is to mainly use Python and Jupyter Notebooks. Knowledge of standard packages (such as numpy, scipy, scikit-learn, pandas, matplotlib, etc.) and the creation of virtual environments (conda) would be ideal but can also be developed during the course. In principle, participants can also use other programming languages to complete the tasks (e.g., R), but no “hands-on” support can be provided for those.
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile Yes
Hauptunterrichtssprache englisch
Weitere Unterrichtssprache(n) deutsch
Literaturhinweise For further reading, not a blueprint for this lecture!

- "Introduction to Machine Learning" by Ethem Alpaydin
- "Machine Learning" by Tom M. Mitchell
- "Introduction to System Biology" by Edda Klipp
- "A First Course in Systems Biology" by Eberhard O. Voit
ECTS points 5

Rooms and times

(Seminarraum N-1055)
Monday, 02.09.2024 - Friday, 06.09.2024, Monday, 09.09.2024 - Friday, 13.09.2024 10:00 - 12:00
(Seminarraum 1056 N)
Tuesday, 24.09.2024 10:00 - 11:00

Comment/Description

Part 1: Biomedical Data Science
- Introduction to Statistical Modeling and Machine Learning
- Unsupervised Learning: Clustering and Dimensionality Reduction
- Supervised Learning: Classification and Regression
- Neural Networks and Deep Learning
- Case studies in Medicine and Drug Development

Part 2: Biomedical Systems Modeling
- Introduction to Mechanistic Modeling, Systems Biology & Quantitative Systems Pharmacology
- Data Formats, Simulation Techniques, and Tools
- Model Fitting, Reduction, and Coupling
- Variability, Robustness, Information, and Optimality
- Case studies in Medicine and Drug Development

Diese Veranstaltung findet im SS2024 als Block im Zeitraum 2.9.2024-13.9.2024 statt.