Level of course: PhD course
Time of year: January 2024
No. of contact hours/hours in total incl. preparation, assignment(s) or the like: 40 contact hours, 30 hours preparation (reading, computer exercises)
Capacity limits: 20 participants
Objectives of the course:
Students will learn to produce publication-quality visualisations of biological data using open-source software tools.
Learning outcomes and competences:
At the end of the course, the student should be able to:
- Import tabular data into R or Python
- Carry out basic data manipulation in R or Python as preparation for plotting
- Generate several kinds of plots using R and Python
- Navigate relevant documentation and resources for the software tools we will use
- Display data in a clear and honest manner
- Display data in a way that effectively communicates a message
Students must be present for lectures and classroom activities and submit a final project.
This course is intended for PhD students in the life sciences.
Prior experience with R, Python or other programming is not required.
Name of lecturers:
Ian P.G. Marshall (Dept. of Biology), Silvia E. Zieger (NNF CO2 Research Center)
Type of course/teaching methods:
- Short lectures and discussions
- Computer-based activities to learn how to make basic kinds of plots
- A project where students apply principles learnt in the class with data from their own research
Course readings will include chapters from ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham and Visual Display of Quantitative Information by Edward Tufte, web-based programming tutorials, and additional journal literature.
22-26 January 2024, 8:30 – 16:30 each day
Aarhus University Campus, Aarhus C (Building and room TBA)
Deadline for registration is 20 December 2023. Information regarding admission will be sent out no later than 22 December.
Please register by email to Ian P.G. Marshall (email@example.com) and include two paragraphs in the main body of the email: a short summary of your PhD project and a summary of the kinds of data you are interested in visualising (you can link to example figures or papers if you like). Qualified applicants will be admitted in the order that they apply.