Course catalogue doctoral education - VT24

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  • Ansökan kan ske mellan 2023-10-16 och 2023-11-15
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Title Scientific Illustration and Data Visualisation
Course number 5642
Programme 0-Inte del av forskarutbildningsprogram
Language English
Credits 3.0
Date 2023-04-17 -- 2023-04-28
Responsible KI department Institutionen för klinisk neurovetenskap
Specific entry requirements
Purpose of the course This course will enable the participant to obtain knowledge and skills in scientific illustration and visualisation: how to use digital tools to create images and figures to communicate scientific ideas, concepts, results, and interpretations to different target audiences and in different formats.
Intended learning outcomes After the course, the student is expected to:
- Be able to critically evaluate the suitability and effectiveness of scientific illustrations and visualisations for different target groups and contexts
- Be able to create effective scientific illustrations by using appropriate software
- Be able to create effective data visualisations using statistical software
- Be able to reflect critically on ethical and legal aspects of scientific visualisation
Contents of the course - General principles of illustration and graphic design
- Data visualisation: diagrams and figures
- Photographs, photomicrographs, and other images in science
- Softwares and file formats
- Ethical and legal aspects on visualisation
- Visual research communication in context: figures, presentations, posters, graphical abstracts
Teaching and learning activities The course emphasises interactivity and practical skills training. Lectures will be used to introduce and cover theoretical aspects. Practise in working with digital tools for illustration and visualisation will be performed during practical workshops with supervision. We will use well-established software packages that are open source and/or for which Karolinska Institutet has a licence available for students. Students will create their own illustrations and visualisations and submit them during the course; these will be discussed in group seminars, revised based on the feedback, and resubmitted.
Compulsory elements Seminars for discussion of students’ submitted illustrations and visualisations will be mandatory. In case of absence, a written reflection can be submitted instead.
Examination Examination takes place through a final illustration/visualisation exercise which will be submitted and discussed.
Literature and other teaching material Recommended literature:
- Tufte, E. (2001). The visual display of quantitative information. ISBN: 0961392142.
- Munzner, T. (2015). Visualization Analysis and Design, 2015. ISBN: 9781466508910.
- Franconeri, S. L., Padilla, L. M., Shah, P., Zacks, J. M., & Hullman, J. (2021). The science of visual data communication: What works. Psychological Science in the Public Interest, 22(3), 110–161. https://doi .org/10.1177/15291006211051956
- Schwabish, J. (2021). The Practice of Visual Data Communication: What Works. Psychological Science in the Public Interest, 22(3), 97-109, https://doi.org/10.1177/15291006211057899
Number of students 10 - 20
Selection of students Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) start date of doctoral studies (priority given to earlier start date)
More information The course will be fully online.
Additional course leader
Latest course evaluation Not available
Course responsible Gustav Nilsonne
Institutionen för klinisk neurovetenskap

Gustav.Nilsonne@ki.se
Contact person -