Scientific Programming and Workflow Management

FOSTER wird vom Bundesministerium für Bildung und Forschung (BMBF) und dem Freistaat Sachsen im Rahmen der Exzellenzstrategie von Bund und Ländern gefördert.

Boost Your Research with Essential Scientific Programming Skills!

Are you a highly motivated bachelor, master's or Ph.D. student working on your thesis? Struggling with scientific programming, workflow management, or ensuring your research is transparent and reproducible? This innovative six-week summer course at TU Dresden taught in English (with support in German and Spanish) is designed to make your research more efficient and impactful! We will work mostly in R, but the concepts learned can also be applied to other programming languages.

Why Join?

✅ Master scientific programming & workflow management – save time, avoid frustration, and enhance your research quality.
✅ Adopt a “learn-to-learn” approach – gain the skills to independently acquire and apply new technical knowledge.
✅ Ensure transparency & reproducibility – meet the highest academic and industry standards.
✅ Sharpen critical thinking & collaboration skills – essential for thriving in any research or professional environment.

!!! Limited spaces available! Secure your spot before the registration deadline: 30 May 2025 !!!

This course fills a critical gap in traditional curricula and provides you with practical, high-impact skills to advance your thesis and career. Whether you aim for academia or industry, the expertise you gain will give you a competitive edge.

Don't miss this opportunity—register now and future-proof your research!

Shortly after the deadline, you will receive an email confirming whether your registration was successful. 

ABOUT THE COURSE

This course is an optional block module.

Course Location: 

             Lecture Room: H6 - HAU (6231) Hauptgebäude

             Pienner Straße 8, 01737 Tharandt

Learning Outcomes:

Upon completion of the course, students will have a solid understanding of programming in R. They will be able to apply fundamental concepts in these languages and will be familiar with methods for data processing and analysis. Additionally, they will have a strong grasp of key aspects of workflow and project management, including the targeted use of version control systems like GitHub.

The flipped classroom approach fosters their ability to independently learn scientific content, critically reflect on it, and apply it in practical contexts. Furthermore, they will strengthen their problem-solving and teamwork skills, laying a foundation for self-directed, lifelong learning.

Course Content:

• Introduction to programming languages, using R as an example, focusing on applications in scientific data analysis.
• Methods of data processing and analysis, including data cleaning, transformation, and visualization.
• Introduction to version control systems (i.e., GitHub) and their application in scientific work and project management.
• Introduction to collaborative work and the use of cloud services for project collaboration.
• Application of learned knowledge in practical project work, promoting teamwork and problem-solving skills.

Credits and Grading:

No academic credits can be earned through this module. However, upon at least 80% participation in the course you will receive a certificate of participation with 4 ECTs credits.

Teaching Formats:

Hybrid blended learning and the flipped classroom approach, where students independently work through materials, using in-class time for deeper discussions and practical applications.

Course preliminar schedule:

Data Protection: Teaching materials available for download are intended for personal use only. Distribution to third parties or reproduction in any form is prohibited. The password for access must be treated as confidential.