Teaching
Our teaching activities are provided for the bachelor and master degrees specific for Bioinformatics/Computational Biology. The bioinformatics program in Munich is one of only few examples for scientifically competing institutions (two universities and several Max-Planck and Helmholtz institutes) joining forces to shape a common program. All information on the teaching of our department can be found here. For more detailed information please visit the websites of the two labs.
Summer Semester (SoSe)
- Lecture and Exercises Bioinformatics Resources (IN2321)
- Lecture and Exercises Protein Prediction I for Bioinformaticians (IN2221)
- Lecture and Exercises Protein Prediction I for Computer Scientists (IN2322)
- Master-Praktikum - Distributed Data Mining (IN2106, IN4176)
- Oberseminar for Bioinformaticians (IN2122)
- Proseminar (Proseminar 'Protein and Disease' (IN2145)
- Distributed Data Mining Lab Course (IN2106, IN4066)
- JavaScript Technology (IN0014, IN2107, IN4790)
Winter Semester (WiSe)
- Lecture and Exercises Introduction to Programming for Bioinformaticians / Einführung in die Programmierung für Bioinformatiker (IN2168)
- Lecture and Exercises Protein Prediction II for Bioinformaticians (IN2230)
- Lecture and Exercises Protein Prediction II for Computer Scientists (IN2291)
- Master Practical Course - Data Mining (IN2106, IN4066)
- Oberseminar for Bioinformaticians (IN2122)
Summer Semester (SoSe)
- Lecture and Exercise Statistical Modeling and Machine Learning (IN2332)
- Oberseminar - Computational Genomics (IN2122)
Winter Semester (WiSe)
- Lecture and Exercise Data Analysis and Visualisation in R (IN2339)
- Oberseminar - Computational Genomics (IN2122)
Lecture given by TUM Junior Fellow Dr. Matthias Heinig
- Lecture and Exercise Statistische Methoden der Systemgenetik (IN XXXX)