Objectives
Subject-specific competences:
After the course, the student can visualise data by producing graphs with software tools. They can implement a trend line fit to data and extract the error of the fit. They can plan how to plot different data types. They can differentiate between good and bad graphs.
Transferable skills:
After the course, the student will acquire IT skills with computer software for plotting. They will gain experience with data visualization and presentation. They will practice a critical analysis of graph quality.
Subject-specific competences:
After the course, the student can visualise data by producing graphs with software tools. They can implement a trend line fit to data and extract the error of the fit. They can plan how to plot different data types. They can differentiate between good and bad graphs.
Transferable skills:
After the course, the student will acquire IT skills with computer software for plotting. They will gain experience with data visualization and presentation. They will practice a critical analysis of graph quality.
- Teacher: Ransell DSouza
- Teacher: Nima Emami
- Teacher: Tomasz Galica
- Teacher: Mahdi Moghaddam
- Peppi-Teacher: Milica Todorovic