What it is about
You will learn fundamental probability and statistics methods and their application to data-driven questions in biomedicine and neuroscience. In the end you will be able to justify statistical procedures, analyze data, plan experiments from an ethical perspective, and apply information-theoretic concepts in neuroresearch.
What you will be able to do
- Apply central concepts of probability and statistics theory
- Plan statistically and ethically sound experiments
- Derive and apply statistical methods for data analysis
- Utilize information theory in neuroscientific questions
What the module consists of
- VorlesungDelivery of theory, proofs, and examples on datasets
- Übungsaufgaben/ÜbungssektionenPractice in deriving and applying statistical methods through homework and exercises
- Labor/PraktikumHands-on with statistical data analysis software (Python/pandas)
Teaching method
- Theorie und Beweisefor conveying the mathematical foundations and derivations
- Datensatz-Beispieleto demonstrate the application of concepts to real biomedicine/neuroengineering questions
- Hausaufgaben und Übungssektionenfor training in deriving and applying analysis procedures
- Laborpraktikum mit Python/pandasfor practical experience in data analysis