Department of Computer Science

Teaching

Current Semester

SUMMER 2021

Unless stated otherwise, our courses will take place online.

  • Lecture: Introduction to Statistical Machine Learning for Bioinformaticians and Medical Informaticians
    This lecture provides an introduction into statistical machine learning with a focus on practical application in (biomedical) data analysis. It comprises basic methods for supervised (classification, regression) and unsupervised learning. Topics include but are not limited to: Linear models for regression and classification, model selection & regularization, cross validation, bootstrap, decision trees, random forest, boosting, support vector machines, dimensionality reduction, clustering methods. Programming tasks require submission in R.
    For further information, please visit the moodle course page.
     
  • Seminar: Machine Learning for Health
    In this seminar, we will discuss recently published research articles about machine learning on biomedical data in a broad sense. For further information and pre-registration, please visit moodle.
     
  • Newly enrolled students in the Master's degree program in Medical Informatics with a background in Medicine/Pharmacy/Life Sciences, please also see the Preparatory Course in Programming for Life Scientists site.

Master's degree program in Medical Informatics

First semester students in the Medical Informatics master's program - winter term 2020/2021: please see Prof. Pfeifer's Welcome message and useful information.

____________________________

Thank you for your interest in studying Medical Informatics at the University of Tübingen.

Our Master's degree program in Medical Informatics will be a perfect fit for you if you have a strong affinity for Computer Science and programming skills in general.

Your eligibility will depend on your previous qualifications in Computer Science and/or Medicine/Pharmacy. Knowledge in Biostatistics and Python would be particularly useful.

Language requirements:

  • Our Master's degree program in Medical Informatics is an English language program, therefore Level B2 skills in English are required.
  • A Level B2 certificate in German would only be required in case of attending certain eligible modules that are offered in German only.

Further details:

For application deadlines, visit Application and Enrollment.

Online application for our Master’s programs: www.alma.uni-tuebingen.de/alma/pages/cs/sys/portal/hisinoneStartPage.faces.


Should you require any further information, please contact our Student Affairs Department: studyspam prevention@uni-tuebingen.de.

We are looking forward to welcoming you soon as our student.

Thesis Topics

We are offering a range of topics for Master’s and Bachelor’s theses and research projects.

Feel free to check our group members’ research interests to find the most suitable contact person for your preferred field, or contact us to explore any specific areas for supervision.

You can download our Medical Informatics (or Bioinformatics) Master's Thesis Template here.

We are looking forward to discussing further details with you!

Previous Teaching

WINTER 2020/2021

SUMMER 2020

WINTER 2019/2020

  • Lecture: Advanced Medical Informatics
  • Practical Course: Machine Learning in Biomedicine
  • Seminar: Machine Learning for Health
  • Seminar: Biomedical Informatics Methods for Infection Research
     

SUMMER 2019

  • Lecture: Medical Data Science
  • Lecture: Bioinformatics for Life Scientists
  • Seminar: Computer Science Methods for Privacy Preservation and Personalized Medicine
  • Seminar: Probabilistic Graphical Models and Probabilistic Programming
  • Software Project in Medical Informatics
     

WINTER 2018/2019

  • Lecture: Advanced Medical Informatics
  • Practical course: Machine Learning in Biomedicine
  • Seminar: Machine Learning for Health
     

SUMMER 2018

  • Lecture: Medical Data Science
  • Lecture: Bioinformatics for Life Scientists
  • Seminar: Computer Science Methods for Privacy Preservation in Biomedical Studies
  • Software Project in Medical Informatics
     

WINTER 2017/2018

  • Lecture: Advanced Medical Informatics
  • Practical course: Machine Learning in Biomedicine
  • Seminar: Machine Learning for Health
     

SUMMER 2017

  • Lecture: Medical Data Science
  • Seminar: Biomedical Informatics Methods for Infection Research
  • Software Project in Medical Informatics