Data & Technology Communication
Niveau
In-depth study
Learning outcomes of the courses/module
The participants:
• describe the basic principles of data-based communication and explain how technical and numerical content is conveyed precisely and on a factual basis.
• create data-driven infographics and short audio formats that reproduce information correctly, comprehensibly and without interpretation errors.
• evaluate communicated data contributions with regard to accuracy, presentation quality, freedom from distortion and factual meaningfulness.
• develop short, data-based communication concepts for technical or energy-related questions and argue how this information is conveyed in an understandable and reliable way.
• describe the basic principles of data-based communication and explain how technical and numerical content is conveyed precisely and on a factual basis.
• create data-driven infographics and short audio formats that reproduce information correctly, comprehensibly and without interpretation errors.
• evaluate communicated data contributions with regard to accuracy, presentation quality, freedom from distortion and factual meaningfulness.
• develop short, data-based communication concepts for technical or energy-related questions and argue how this information is conveyed in an understandable and reliable way.
Prerequisites for the course
Fundamentals of communication & presentation
Course content
- Fundamentals of fact-oriented and data-driven communication
- Analysis and review of data quality for communication purposes
- Creation of precise data-based infographics and visualisations
- Turning technical and numerical content into short audio formats such as data-based podcasts
- Use of digital tools for the structured presentation of facts and key figures
- Evaluation of data visualisations and technical communication contributions for meaningfulness and accuracy
- Analysis and review of data quality for communication purposes
- Creation of precise data-based infographics and visualisations
- Turning technical and numerical content into short audio formats such as data-based podcasts
- Use of digital tools for the structured presentation of facts and key figures
- Evaluation of data visualisations and technical communication contributions for meaningfulness and accuracy
Recommended specialist literature
- Plo-Alastrué, R., & Corona, I. (Eds). (2023). Digital Scientific Communication: Identity and Visibility in Research Dissemination. Springer International Publishing. https://doi.org/10.1007/978-3-031-38207-9
- Roughley, M. (Ed.). (2023). Approaches for Science Illustration and Communication (Vol. 4). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-41652-1
- Suh, C. (2023). Communication Principles for Data Science. Springer Nature Singapore. https://doi.org/10.1007/978-981-19-8008-4
- Roughley, M. (Ed.). (2023). Approaches for Science Illustration and Communication (Vol. 4). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-41652-1
- Suh, C. (2023). Communication Principles for Data Science. Springer Nature Singapore. https://doi.org/10.1007/978-981-19-8008-4
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
2
Semester hours per week
Planned teaching and learning method
Lectures, discussions, exercises, case studies, group work
Semester/trimester in which the course/module is offered
5