====== Seminar: Good Scientific Practice in Computer and Data Science ======

===== Key information =====

|| Contact || [[about:people:sascha_safenreider|Sascha Safenreider]], [[about:people:julian_kunkel|Julian Kunkel]], [[about:people:lorenz_glissmann|Lorenz Glissmann]] ||
|| Location || [[https://lageplan.uni-goettingen.de/?piz=1519&etage=EG|GWDG Seminar room 0.102]] ||
|| Time || block course ||
|| Language || English ||
|| Module || [[https://studip.uni-goettingen.de/dispatch.php/course/details?sem_id=bc0a1e57e89b49308290dc8283a8f14c&again=yes|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.


===== Learning Objectives =====

After successfully completing the module, students will be able to...
  * effectively structure a research paper,
  * are familiar with formal and structural norms regarding outlines, formatting, bibliographies, etc.,
  * identify the principles of good scientific writing, apply them to their own writing and revise the manu-scripts of others accordingly,
  * participate in technical and scientific discussions,
  * give constructive feedback to colleagues,
  * present a research project they have worked on and lead a technical discussion about it.



===== Agenda =====

**Day 1 + 2 (23–24 October)**
  * Organization
  * How to PhD
  * Good Scientific Practice
  * Scientific Writing

**Day 3 (23 February) - Online**
  * Reviewing & Feedback
  * Presenting & Discussing

**Day 4 (23 March) - Online**
  * Final Session