20-00-0294-iv Information Visualization and Visual Analytics

Course offering details

Instructors: Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May

Event type: Integrated Course

Org-unit: Dept. 20 - Computer Science

Displayed in timetable as: 20-00-0294-iv

Subject:

Crediting for:

Hours per week: 4

Language of instruction: German

Min. | Max. participants: - | -

Course Contents:
This lecture will give a detailed introduction to the scientific topics of information visualization and Visual Analytics, and will cover current research areas as well as practical application scenarios of Visual Analytics.
• Overview of information visualization and Visual Analytics (definitions, models, history)
• Data representation and data transformation
• Mapping of data to visual structures
• Introduction to human cognition
• Visual representations and interaction for bivariate and multivariate Data, time series, networks and geographic data
• Basic data mining techniques
• Visual Analytics - Analytics reasoning - Data mining - Statistics Analytical techniques and scaling
• Evaluation of Visual Analytics Systems

Learning Outcomes:
After successfully attending the course, students will be able to

• use information visualization methods for specific data types
• design interactive visualization systems for data from various application domains
• couple visualization and automated methods to solve large-scale data analysis problems
• apply knowledge about key characteristics of the human visual and cognitive system for information visualization and visual analytics
• choose evaluation methods used for specific situations and scenarios

Literature:
Will be announced in lecture, an example might be:
C. Ware: Information Visualization: Perception for Design
Ellis et al: Mastering the Information Age

Preconditions:
Interest in methods of computer graphics and visualization

This lecture is designed for students in computer science, information management, mathematics on a master or diploma level and other related or interested domains (e.g. biology or psychology).

Further Grading Information:
IV 4SWS/6CP, each winter semester

Online Offerings:
moodle

Small group(s)
This course is divided into the following small groups:
  • Information Visualization and Visual Analytics - Ü 01

    Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May

    Wed, 16. Oct. 2019 [13:30]-Wed, 12. Feb. 2020 [15:10]

Literature
Appointments
Date From To Room Instructors
1 Tue, 15. Oct. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
2 Tue, 22. Oct. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
3 Tue, 29. Oct. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
4 Tue, 5. Nov. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
5 Tue, 12. Nov. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
6 Tue, 19. Nov. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
7 Tue, 26. Nov. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
8 Tue, 3. Dec. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
9 Tue, 10. Dec. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
10 Tue, 17. Dec. 2019 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
11 Tue, 14. Jan. 2020 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
12 Tue, 21. Jan. 2020 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
13 Tue, 28. Jan. 2020 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
14 Tue, 4. Feb. 2020 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
15 Tue, 11. Feb. 2020 15:20 17:00 S305 | 074 Prof. Dr.-Ing. Jörn Kohlhammer; Dr.-Ing. Thorsten May
Class session overview
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Instructors
Prof. Dr.-Ing. Jörn Kohlhammer
Dr.-Ing. Thorsten May