Credits: 5

Schedule: 25.02.2019 - 11.04.2019

Teaching Period (valid 01.08.2018-31.07.2020): 

IV (Spring)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

Information visualization offers instruments for reasoning about quantitative information, analyzing and communicating statistical information. The course overviews the main typologies of data graphics (data-maps, time-series, space-time narrative, relational diagrams, graphs and methods for dimensionality reduction) and provides a language for discussing data visualizations combined with a knowledge of the human perception of visual objects.

Content (valid 01.08.2018-31.07.2020): 

The course teaches how to visualize information effectively by using the statistical methods, combined with knowledge of the human perception and the basics of data graphics.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Examination and exercise work.

Workload (valid 01.08.2018-31.07.2020): 

24 + 12 (4 + 2)

Study Material (valid 01.08.2018-31.07.2020): 

Lecture notes, and E. Tufte, The Visual Display of Quantitative Information, Graphics Press, 1983, and C. Ware, Information Visualization - Perception for Design, Morgan Kaufmann, 2004.

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

T-61.5010 Information Visualization

Prerequisites (valid 01.08.2018-31.07.2020): 

Basic mathematics courses.

Grading Scale (valid 01.08.2018-31.07.2020): 



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