Data Crunch Cup Würzburg

Data Crunch Cup Würzburg

Delivery institution

Biology
CCTB (Chair for Computational and Theoretical Biology)

Instructor(s):

Prof. Dr. Sabine Fischer, Dr. Markus Ankenbrand

Start date

1 March 2027

End date

7 March 2027

Study field

CHARM priority field

Study level

Study load, ECTS

3

Short description

The Data Crunch Cup Würzburg (DCCW) is an annual, week-long data science competition open to students worldwide. Participants independently solve challenges covering data analysis, bioinformatics, machine learning, and computational thinking, with tasks varying in difficulty and progressively unlocked throughout the competition. The DCCW is free of charge, organised by the Chair for Computational and Theoretical Biology at the University of Würzburg, and supported by partners from industry and academia.

Full description

The Data Crunch Cup Würzburg (DCCW) is an annual data science competition organised by the Chair for Computational and Theoretical Biology at the University of Würzburg. Over the course of one week, participants independently solve a diverse set of challenges covering data analysis, bioinformatics, machine learning, and computational thinking. Challenges vary in difficulty and are progressively unlocked throughout the competition, rewarding both problem-solving skills and speed. The competition is free of charge and open to students and learners worldwide. Students enrolled in a bachelor’s programme at the University of Würzburg can additionally earn ECTS credits through a pool of transferable skills courses. The DCCW is supported by partners from industry and academia, creating a network between scientific research and real-world data applications. A hybrid closing ceremony brings participants, organisers, and partners together at the end of each edition.

More information: https://dccw.de

Learning outcomes

At the end of the course, the learner will be able to apply data analysis and computational methods to solve interdisciplinary challenges, use bioinformatics tools to process and interpret datasets and develop and evaluate problem-solving strategies under time constraints.

Course requirements

No specific prerequisites are required. The competition is open to learners of all backgrounds and experience levels.

Places available

no limits

Course literature (compulsory or recommended):

No compulsory literature. Participants are encouraged to draw on any resources they find helpful, including online documentation, textbooks, and bioinformatics databases. Internet research is explicitly permitted.

Planned educational activities and teaching methods:

Participants engage in self-directed problem solving through a series of progressively unlocked, difficulty-graded challenges on the online platform dccw.de.

All tasks are completed independently.

The competition concludes with a closing event where results are presented and discussed, giving participants the opportunity to meet the challenge creators and network with academic and industry partners.

Course code

06290031

Language

Assessment method

Points-based ranking through independent challenge completion. ECTS credits require reaching a minimum score threshold.

Final certification

Transcript of records

Yes. Participants can receive a certificate of achievement. Additionally, top-ranked participants are eligible to win prize money.

Assessment date

7 March 2027

Modality

Learning management System in use

dccw.de

Contact hours per week for the student:

The competition runs for one week with no fixed contact hours, as participation is fully self-directed. The DCCW team can be reached by email during normal office hours throughout the competition to resolve any issues.

Specific regular weekly teaching day/time

The competition is fully self-directed and available online 24/7 throughout the competition week

Time zone