bioinformatics

Lecture:

• 50% machine learning
• Methods are explained and partly derived
• Some statistics for evaluating the performance are taught, as well as the basic procedure, the analysis pipeline.

nternship:

• Knowledge is deepened using omics or clinical data
• Focus: application of statistical methods
• 30% machine learning