Contact | Sascha Safenreider, Julian Kunkel, Lorenz Glissmann | ||
Location | tba | ||
Time | tba | ||
Language | English | ||
Module | 500132 Good Scientific Practice in Computer and Data Science | ||
SWS | - | ||
Credits | 2 |
Participants develop an understanding of the basic principles of good scientific practice. They will be able to place scientific work in a broader context and understand the importance of integrity and responsibility in research. They deal intensively with aspects of quality assurance and learn to critically scrutinize scien-tific statements. They also acquire knowledge about ethical challenges in research and develop strategies to avoid conflicts and misconduct in the scientific environment.
After successfully completing the module, students will be able to…
The agenda will be updated shortly.