I853 – Information Visualization
Module
Information Visualization
Information Visualization Please note: This module will be offered for the first time in the Summer semester 2025 semester. |
Module number
I853
Version: 1 |
Faculty
Informatics/Mathematics
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Level
Master
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Duration
1 Semester
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Semester
Summer semester
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Module supervisor
Prof. Dr.-Ing. Dietrich Kammer |
Lecturer(s)
Prof. Dr.-Ing. Dietrich Kammer |
Course language(s)
English |
ECTS credits
5.00 credits |
Workload
150 hours |
Courses
4.00 SCH (1.00 SCH Lecture | 3.00 SCH Internship) |
Self-study time
90.00 hours |
Pre-examination(s)
None
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Examination(s)
Alternative examination - Semesterarbeit |
Form of teaching
Combination of lectures, discussions, and hands-on projects. This includes self-study and the presentation of projects. |
Media type
Slides, tutorials, and online resources. |
Instruction content/structure
This module is designed to introduce students to the principles and practices of visualizing data and information. Through a combination of lectures, discussions, and hands-on projects, students will gain practical experience using visualization tools and techniques to analyze and present data in a clear and effective manner. Students will learn how to create effective visualizations that can be used to explore, analyze, and communicate complex data sets. The course covers a range of topics, including the fundamentals of visual perception and cognition, data visualization techniques, and the use of specialized software tools. Students apply their knowledge to real-world data sets and develop their own visualizations. By the end of the course, students will have a deep understanding of the principles of information visualization and will be able to use visualization to effectively communicate data-driven insights. Students will acquire the skills and knowledge needed to create effective visualizations for a variety of applications.
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Qualification objectives
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Social and personal skills
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Special admission requirements
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Recommended prerequisites
I928 Applied Programming (Python) oder I320 Programmierung III |
Continuation options
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Literature
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Current teaching resources
See literature recommendations, online resources, and scripts, tutorials, and material in OPAL course. |
Notes
No information
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Link to course/learning resources in OPAL
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