Modules Compulsory modules Introduction to Data Science (BD P 01) Imaging of biological systems (BD P 02) Human Genetics (BD P 03) Clinical Studies and Biobanking (BD P 04) Introduction to Data Analys
Compulsory elective module II: Applied Data Analysis (BD WP 02) Qualification objectives Students complete an internship on their own initiative in one of the subject areas listed below. During the 6-
Pathomechanisms of Infection (BD P 11) Qualification objectives Lecture: After attending the lecture, students know the structure, the most important components and modes of action of the mammalian im
Data Protection, Data Security and Ethics (BD P 12) Qualification objectives The module provides basic knowledge of Data Protection, Data Security and Data and Information Ethics, which must be taken
Biostatistics, omics technologies and Big Data (BD P 10) Auswertung eines Proteom-Datensatzes mittels Perseus Software. Copyright: F. Büttner/Institut für Klinische Biochemie/MHH; Tyanova et al., Natu
Microbial pathogens (BD P 07) Qualification objectives The module teaches the basics of bacterial and viral pathogens in humans. Students learn about viral infection cycles in the cell as well as comm
Compulsory elective module I: Applied Data Analysis (BD WP 01) Qualification objectives Students complete a 3-week internship in one of the subject areas listed below on their own initiative. To teach
Digital Image Analysis (BD P 08) Qualification objectives The module covers methods of digital image analysis and the visualization of medical image data. Students learn that the acquisition, processi