# Teaching

**Source**: https://bit.cs.tum.de/en/teaching
**Parent**: https://bit.cs.tum.de/en/

At **TUM Campus Straubing**, our **Bachelor’s and Master’s courses** combine **bioinformatics**, **machine learning**, and **data science** to prepare the next generation of scientists and engineers for the **bioeconomy**. Students learn to apply programming, algorithms, and AI methods to challenges in **biology** and **biotechnology**, from analysing **genotype–phenotype relationships** and performing **image-based phenotyping** to addressing real-world issues in **genetics**, **precision agriculture**, and **sustainable processes**.

Our teaching — spanning from foundational courses to advanced seminars, empowers students to apply modern computational approaches, collaborate across disciplines, and contribute to a **circular, sustainable, bio-based economy**.

We are passionate about teaching and proud to have been recognised for it: in **2020** and **2021**, our work was honoured with the **Teaching Prize for Excellent Teaching** by the **student body of TUM Campus Straubing**. In keeping with the spirit of sustainability, the students celebrated this achievement by planting a **Tree of Teaching** at the Danube Campus in Straubing, a living symbol of enduring commitment to education.

Detailed information about the individual bachelor and master programs as well as detailed module description can be found here: [Bachelor](https://www.cs.tum.de/en/study/bachelor/overview) and [Master Program Overview](https://www.cs.tum.de/en/study/master/overview)

If you are interested in doing a research internship or a thesis in our lab, please have a look here: 

Additional information about the courses can be found at [TUMOnline](https://campus.tum.de/tumonline/webnav.ini) (external Link, TUM ID necessary).

- Bachelor Courses
- Master Courses

- Mathematics Pre-Course
- Mathematics (4 SWS, 1. Semester)
- Foundations of Programming (4 SWS, 1. Semester)
- Bioinformatics (4 SWS, 2. Semester)

- Artificial Intelligence for Biotechnology (summer term, 4 SWS)
- Advances in Biotechnology (summer term)
- Current topics in machine learning and bioinformatics (summer term, 2SWS, seminar)
- Python Precourse (2SWS)