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Introduction to Programming for Biologists

LS20009Specializing and Interdisciplinary Qualification5 ECTSEnglishwinter semesterProfessur für Bioinformatik (Prof. Frischmann)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You learn the fundamentals of programming in Python and R with a focus on biological data. In the end you will be able to understand data types, write scripts, read and process data, perform simple statistical analyses, visualize results, and use basic Linux commands.

What you will be able to do

  • Describe major data types in Python and R
  • Write code with conditions and loops in Python and R
  • Read data from files and save analysis results
  • Acquire data from public biological databases
  • Choose suitable Python-/R-packages
  • Write scripts for statistical analyses
  • Visualize results in Python and R

What the module consists of

  • Vorlesung/ÜbungIntroduction to concepts and code examples; exercises to practice
  • Praktische Übungen/ProjektarbeitOwn programming, data selection and analysis up to the presentation

Teaching method

  • Presentations with slidesConveying theoretical fundamentals and example code
  • Tasks for self-programmingPractice and identify problems in own code
  • Live-Coding by instructorDemonstration of the solution path in real time
  • MoodleProvision of teaching materials and code after the session
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Official page in TUMonline · Details are not binding.