FF:ISKM83 Visualization project - Course Information
ISKM83 Visualization project
Faculty of ArtsSpring 2023
- Extent and Intensity
- 0/0/0. 3 credit(s). Type of Completion: k (colloquium).
- 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: 3/10, only registered: 0/10 - 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
- Enrolment Statistics (Spring 2023, recent)
- Permalink: https://is.muni.cz/course/phil/spring2023/ISKM83