BIGS Neuroscience offers a wide range of courses that focus on experimental methods, basic neuroscience knowledge or programming. BIGS Neuroscience cooperates with core facilities, research institutes and individual faculty members for its methods courses. The following courses are examples of the current course programme.
Core facility methods courses
- Basic principles of Microscopy
- Image Analysis with ImageJ
- Mass spectrometry
- Hybrid flow cytometry
- Hands on R – basic course
- Introduction to RNA-seq data analysis with R
- Gene Editing
Courses with lectures and exercises
- Computational Neuroscience (in conjunction with M.Sc. Neuroscience)
- Classification with neurons
- Cognitive modelling
- Spiking models
- Dynamical systems
- Electrophysiological recording and analysis
Machine Learning courses on offer
- Introduction to Python for data analysis (in conjunction with M.Sc. Neurosciences)
- Workshops of the University IT and Data Centre
- Machine Learning Workshops of the Institute of Computer Science
- basic: Foundations of Machine Learning in Python (3 weeks)
- advanced: Advanced Machine Learning (1 week)
- Workshops of the Transdisciplinary Research Area Life and Health (TRA Life and Health)
- Workshops of the iBehave Open Technology Support Platform (iBOTs)