Due to the increasing importance of data in companies and society, competent handling of data is essential today. Companies that do not manage their data properly risk working inefficiently, making the wrong decisions and failing to meet regulatory requirements. A sustainable business model therefore requires the sound handling of data.

The Data Literacy Lab addresses precisely this challenge. Students use scientific methods to develop practical learning videos on key topics relating to data from an economic, organizational or technical perspective. In doing so, they acquire new data literacy skills, strengthen their ability to explain complex relationships in an understandable way and at the same time practise scientific work and didactic preparation.

Module description

Data is considered one of the central raw materials of digital transformation. Companies are increasingly faced with the challenge of managing their data correctly, meeting regulatory requirements and driving data-driven innovation at the same time. Topics such as data governance, data quality and data management are therefore no longer optional, but crucial for competitiveness.

The aim of the Data Literacy Lab is to work on key issues relating to the competent handling of data and to make them understandable for a wider audience. Based on their project reports, students independently develop educational videos in which they apply scientific methods to structure complex content didactically and convey it in a practical way.

The specialist laboratory is aimed at students on the Master's degree courses in Industrial Engineering, Logistics and Mechanical Engineering. Students must be enrolled in the Master's program at the time of registration. Proof of this in the form of a student certificate must be enclosed with the application. Registrations without proof will not be considered.

Structure of the course:

• Start of the lab with a face-to-face event
  • Introduction to the basics of data literacy and relevant topics related to data
  • Task definition & group formation
• Independent work on the task in groups
• Preparation of the interim report
• Creation of learning videos for the presentation of results
• Submission of the project report
• Individual group consultation hours

Scope & assessment:

• 6 CP
• Group work is graded individually

Registration information:

There are 24 places available for students of mechanical engineering, industrial engineering and logistics. Students must be enrolled in the Master's program at the time of registration. Corresponding proof in the form of a student certificate must be enclosed with the application. Registrations without proof will not be considered.

Registration is possible from 02.10.2025 at 9 a.m. to 17.10.2025 at 9 a.m. Students of mechanical engineering should register by e-mail: estelle.duparctu-dortmundde. Students of other degree programs register via the Moodle course.

Please note:

According to the decision of the examination board of 04.02.2016, the acceptance of a place in a course with limited participation is binding and at the same time an examination registration. Registration in the Moodle room is considered a binding declaration of participation. Failure to take up a bindingly accepted place is a failed attempt.