ISKM83 Visualization project

Faculty of Arts
Spring 2026
Extent and Intensity
0/0/0. 3 credit(s). Type of Completion: k (colloquium).
Synchronous online teaching
Teacher(s)
Mgr. Tomáš Marek, Ph.D. (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
Timetable
Thu 19. 2. 10:00–11:40 C11, Thu 12. 3. 10:00–11:40 C11, Thu 26. 3. 10:00–11:40 C11, Thu 2. 4. 10:00–11:40 VP, Thu 9. 4. 10:00–11:40 VP, Thu 30. 4. 10:00–11:40 C11, Thu 7. 5. 10:00–11:40 C11, Thu 14. 5. 10:00–11:40 C11
Prerequisites
ISKM56 Data Visualization
The course assumes an interest in the field of data visualization and its practical application. Completion of the course ISKM56 Data Visualization is a prerequisite. If you wish to take the course without meeting the prerequisite, you may submit a request for an exception, which will be considered based on the capacity of the course.
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 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 14/15
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
- to pick a relevant tool for the data visualization needs at hand
Syllabus
The course does not have regular weekly classes. Meetings take place in blocks and in the form of consultations. Workshop meetings for the spring semester of 2026 are scheduled for the following dates: 

February 19, 2026 - Introductory and organizational meeting
March 12, 2026 - Data sources and introduction to GraphQL
March 26, 2026 - Basics of the Datawrapper tool
April 30, 2026 - Network visualization with Gephi
May 7, 2026 - Basics of dashboards with Tableau
May 14, 2026 - Joint project consultations

Outside of the joint workshop dates, individually arranged consultations on the projects being worked on take place.
Literature
    recommended literature
  • SLEEPER, Ryan. Practical Tableau: 100 Tips, Tutorials, and Strategies from a Tableau Zen Master. 2018. ISBN 978-1491977316.
  • LOTHIAN, Alexander. Visual Analytics with Tableau. Wiley & Sons, Incorporated, John, 2019. ISBN 978-1119560203.
  • PORCELLO, Eve a BANKS, Alex. Learning GraphQL: declarative data fletching for modern web apps. Sebastopol,CA: O´Reilly, 2018. ISBN 978-1492030713.
  • YANG, Song; Franziska B. KELLER and Lu ZHENG. Social network analysis : methods and examples. Los Angeles: Sage, 2017, xii, 231. ISBN 9781483325217. info
  • WEXLER, Steve; Jeffrey SHAFFER and Andy COTGREAVE. The big book of dashboards : visualizing your data using real-world business scenarios. Hoboken, New Jersey: Wiley, 2017, xv, 432. ISBN 9781119282716. info
Teaching methods
The aim of the course is to realize a practical visualization output. Students work on it individually and consult regularly on its execution.
Assessment methods
Final presentation of visualization projects.
Náhradní absolvování
The course cannot be completed in any alternative form.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
Teacher's information
https://is.muni.cz/auth/el/phil/jaro2026/ISKM83/index.qwarp
All information, study materials, meeting records, and other documents will be available from the interactive syllabus.
The course is also listed under the following terms Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/phil/spring2026/ISKM83