ZURb1420 Data in journalism II

Faculty of Social Studies
Spring 2022
Extent and Intensity
0/1/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Jan Boček (seminar tutor)
Guaranteed by
Ing. Rudolf Burgr, Ph.D.
Department of Media Studies and Journalism – Faculty of Social Studies
Contact Person: Ing. Bc. Pavlína Brabcová
Supplier department: Department of Media Studies and Journalism – Faculty of Social Studies
Timetable
Tue 22. 2. 14:00–17:40 Rádio 544, Tue 15. 3. 14:00–17:40 Rádio 544, Tue 5. 4. 14:00–17:40 Rádio 544, Tue 26. 4. 14:00–17:40 Rádio 544
Prerequisites (in Czech)
ZURb1221 Data in journalism
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: 1/10, only registered: 0/10
fields of study / plans the course is directly associated with
there are 35 fields of study the course is directly associated with, display
Course objectives
The aim of the course is to apply the theoretical skills acquired in the Data in Journalism course. Students work in teams of three on their own article: they choose a topic, collect data, analyze it, create visualizations and the final article. Students work independently on the topics, and there is a joint consultation 4 times a semester.
Learning outcomes
Students will learn:
(1) synergistically use data analysis and visualization tools;
(2) synthetically work with, analyze, and interpret collected data; and
(3) independently create a comprehensive journalistic product based on the principles of data journalism and data analysis.
Syllabus
  • 1. Initial meeting, creation of working teams, project assignment.
  • 2. Joint consultation of projects in progress.
  • 3. Joint consultation of projects in progress.
  • 4. Final consultation, alternatively colloquium presentation and evaluation of projects.
Literature
  • Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business professionals. John Wiley & Sons.
  • VALLANCE-JONES, Fred and David MCKIE. The data journalist : getting the story. Edited by William Wolfe-Wylie - Glen McGregor. Ontario: Oxford university press, 2017, xiii, 266. ISBN 9780199020065. info
  • The SAGE handbook of social media research methods. Edited by Luke Sloan - Anabel Quan-Haase. Los Angeles: SAGE Reference, 2017, xxvii, 679. ISBN 9781473916326. info
  • KIRK, Andy. Data visualisation : a handbook for data driven design. First published. Los Angeles: Sage, 2016, xiv, 347. ISBN 9781473912137. info
  • Social media, sociality, and survey research. Edited by Craig A. Hill - Elizabeth Dean - Joe Murphy. Hoboken: Wiley, 2014, xxv, 334. ISBN 9781118379738. info
  • The data journalism handbook. Edited by Jonathan Gray - Liliana Bounegru - Lucy Chambers. 1st ed. Sebastopol, CA: O'Reilly Media, 2012, xvii, 220. ISBN 9781449330064. URL info
Teaching methods
Group discussions and consultations, team work under the guidance of a mentor, project-based learning, media product creation, presentation and evaluation.
Assessment methods
Final project, colloquium.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught once in two years.
The course is also listed under the following terms Spring 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/spring2022/ZURb1420