ISKM83 Visualization project

Faculty of Arts
Spring 2023
Extent and Intensity
0/0/0. 3 credit(s). Type of Completion: k (colloquium).
Taught partially online.
Teacher(s)
Mgr. Tomáš Marek (lecturer)
Guaranteed by
PhDr. Petr Škyřík, Ph.D.
Department of Information and Library Studies – Faculty of Arts
Contact Person: Mgr. Alice Lukavská
Supplier department: Department of Information and Library Studies – Faculty of Arts
Prerequisites
The course assumes an interest in the field of data visualization and its practical use.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 10 student(s).
Current registration and enrolment status: enrolled: 4/10, only registered: 1/10
fields of study / plans the course is directly associated with
there are 10 fields of study the course is directly associated with, display
Course objectives
The aim of the course is to apply the skills of creating effective data visualisation to practice, in the context of student's own project.
Learning outcomes
Upon completion of the course the student will be able to:
- think comprehensively about the whole process of data visualization
- work with basic user tools
Syllabus
  • The course does not have a regular weekly class. Meetings are held in a block consultation/workshop form.
Literature
    recommended literature
  • SCHWABISH, Jonathan A. Better data visualization : a guide for scholars, researchers, and wonks. New York: Columbia University Press, 2021, xi, 449. ISBN 9780231193108. info
  • WARE, Colin. Information visualization : perception for design. Fourth edition. Cambridge, MA: Elsevier, 2021, xviii, 538. ISBN 9780128128756. info
  • HEALY, Kieran Joseph. Data visualization : a practical introduction. Princeton: Princeton university press, 2019, xviii, 272. ISBN 9780691181622. info
  • WILKE, C. Fundamentals of data visualization : a primer on making informative and compelling figures. Beijing: O'Reilly, 2019, xvi, 370. ISBN 9781492031086. info
  • FISHER, Danyel and Miriah MEYER. Making data visual : a practical guide to using visualization for insight. First edition. Beijing: O'Reilly, 2018, xiii, 149. ISBN 9781491928462. info
  • ILIINSKY, Noah P. N. and Julie STEELE. Designing data visualizations. Sebastopol, CA: O'Reilly, 2011, xii, 93. ISBN 9781449312282. info
Teaching methods
The aim of the course is to realize a practical visualization output. Students work on it individually or in pairs and consult regularly on its execution. Teaching takes the form of optional workshops.
Assessment methods
Final presentation of visualization projects.
Language of instruction
Czech
Further Comments
Study Materials
The course is also listed under the following terms Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2023, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2023/ISKM83