VIKMB37 Vizualization of Information

Faculty of Arts
Spring 2014
Extent and Intensity
0/2. 4 credit(s). Type of Completion: k (colloquium).
Teacher(s)
Mgr. Jan Boček (lecturer)
Mgr. Tomáš Marek, Ph.D. (lecturer)
Mgr. Jan Pospíšil (lecturer)
Mgr. Tomáš Bouda, Ph.D. (seminar tutor)
Guaranteed by
PhDr. Petr Škyřík, Ph.D.
Division of Information and Library Studies – Department of Czech Literature – Faculty of Arts
Contact Person: Mgr. Marie Hradilová
Supplier department: Division of Information and Library Studies – Department of Czech Literature – Faculty of Arts
Timetable
Thu 10:50–12:25 L31
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 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Course objectives
Student will be able to: design effective and meaningful visualization, acquire and prepare the data and use basic tools to visualize, evaluate and discuss a graphical representation of the data in terms of their effectiveness in different contexts. In the theoretical level students will be familiar with: the basis of visual perception, design and aesthetics in visualization.
Syllabus
  • 1th Introduction to the course • Introduction to data visualization • Examples of good practice • Basic terminology and its stabilization 2th History of visualization • Development of data visualization • Visualization crucial milestones • Historical implications of the current state 3rd visualization today • Discussion of current state of visualization • An overview of the visualization field • Data Journalism , casual InfoVis , etc. 4th visual perception • Principles of visual perception • Their application to data visualization • Color , design, etc. 5th The effectiveness of visualization • Basic principles of effective visualization • Creation of effective basic types of statistical graphs • Storytelling and successful visualization 6th The process of visualization • An overview of the process of creating visualizations • Identification of the type of data , forms , audiences , etc. 7th Acquisition and data preparation • Types of data and appropriate ways of visualization • Basics of scraping, data sources • Specifics of data acquisition in Czech environment 8th Visualization Tools • An overview of the basic tools • Programming languages ​​for visualization 9th - 12th practical hours • Practical examples from data acquisition to finalization of visualization • Basics of R, and other freely available tools 13th Infographics as a marketing tool • Additional time to meet the needs of students of • Infographics position with regard to data visualization • Good practice , practical advice and freely available tools
Literature
    recommended literature
  • CAIRO, Alberto. The functional art: an introduction to information graphics and visualization. San Francisco: Peachpit Press, 2012, 363 pages. ISBN 03-218-3473-9.
  • MONMONIER, Mark S. How to lie with maps. 2nd ed. Chicago: University of Chicago Press, c1996, xiii, 207 p. ISBN 02-265-3421-9.
  • YAU, Nathan. Visualize this: the FlowingData guide to design, visualization, and statistics. Indianapolis, Ind.: Wiley Pub., c2011, xxvi, 358 p. ISBN 11-181-4025-7.
  • FEW, Stephen. Now you see it: simple visualization techniques for quantitative analysis. Oakland: Analytics Press, c2009, xi, 327 s. ISBN 978-097-0601-988.
  • WONG, Dona M. The Wall Street journal guide to information graphics: the dos and don'ts of presenting data, facts, and figures. 1st ed. New York: W.W. Norton, c2010, 157 p. ISBN 03-930-7295-9.
  • HUFF, Darrell. How to lie with statistics. New York: Norton, 1993, 142 p. ISBN 03-933-1072-8.
  • TUFTE, Edward R. The visual display of quantitative information. 2nd ed. Cheshire: Graphics Press, 2007, 197 s. ;. ISBN 978-0-9613921-4-7
  • YAU, Nathan. Data points: visualization that means something. Indianapolis: Wiley, 2013, xiii, 300 pages. ISBN 978-1118462195.
Teaching methods
Seminars, lectures from experts
Assessment methods
Students are expected to attend at least 8 out of 11 lectures and design the original visualization as a final project.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is also listed under the following terms Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017.
  • Enrolment Statistics (Spring 2014, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2014/VIKMB37