Biodata Science

Department

Master's Program Biotechnology

Course unit code

BT_MA20_2_12

Number of ECTS credits allocated

4.0

Name of lecturer(s)

Assoz. FH-Prof. Jahn Alexander, PhD

Recommended optional program components

none

Additional information about examination modalities

One final written assignment with a brief interview

Level of course unit

Master

Year of study

Spring 2026

Semester when the course unit is delivered

2

Language of instruction

English

Learning outcomes of the course unit

Students will deepen their understanding of basic and advanced statistical methods and get an overview on data structures and data formats commonly used in bioinformatics and biotechnology. They will deepen their skills in analysing big amounts of data and in extracting the most valuable pieces of information.
Students will also understand the fundamentals of machine learning methods and acquire significant hands on experience in applying statistical methods.

Course contents

Students will become familiar with:
- Data formats
- Collection, preparation and revision of data
- Data visualization
- Statistical analysis of data
- DOE

Planned learning activities and teaching methods

The course comprises an interactive mix of lectures, discussions and individual and group work.

Work placement(s)

none