Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Credits: 5

Schedule: 09.01.2023 - 16.02.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Lu Cheng

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    It is necessary that students are fluent with programming in python and R. Previous participation of bioinformatics courses such as “CS-E5865 Computational Genomics” and “CS-E5875 High-Throughput Bioinformatics” are preferred.