|
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
|
