Module: Introduction to Bioinformatics (4609-410)

This module not offered anymore!

Persons:

• Katja Nowick (verantwortlich)

Degree Program:

• Agricultural Sciences - Animal Sciences (Master, since 01.10.2015)
  2. Semester, elective
• Agricultural Sciences - Agricultural Engineering (Master, since 01.10.2014)
  2. Semester, elective
• Agricultural Sciences - Agricultural Economics (Master, since 01.10.2014)
  2. Semester, elective
• Agricultural Sciences - Soil Science (Master, since 01.10.2014)
  2. Semester, elective
• Agricultural Sciences - Major: Crop Production Systems (Master, since 01.10.2015)
  2. Semester, elective
• Crop Sciences - Plant Breeding and Seed Science (Master, since 01.10.2014)
  2. Semester, elective
• Crop Sciences - Plant Nutrition and Protection (Master, since 01.10.2014)
  2. Semester, elective
• Agricultural Sciences in the Tropics and Subtropics (until WS 2018/19) (Master, since 01.10.2014)
  2. Semester, elective
• Environmental Protection and Agricultural Food Production (until WS 2018/19) (Master, since 01.10.2014)
  2. Semester, elective
• Agricultural Sciences - Agricultural Engineering (Master, since 01.04.2019)
  2. Semester, elective
• Agricultural Sciences - Animal Sciences (Master, since 01.04.2019)
  2. Semester, elective

Prerequisites for Attendance:

Laptop with own admin rights

Sprache:

English

ECTS:

7,5 credits

Frequency:

every summer semester

Length of the Module:

4 weeks (block 4)

Compulsory assignment:

scientific presentation (33%) and final programming project (67%)

Workload:

70 h presence + 130 h preparation at home + exam = 200 h workload

Professional competences:

After completing this module, students are able to computationally analyze biological sequences and gene expression data in R and Python.

Key competences:

During the lectures and practical exercises with the computer, students learn to work in a Unix environment and think computationally as well as algorithmically. Through oral presentations, students practice and improve critical reading and communicating of scientific results.

Courses