Course Visualization

  • Instructor: Prof. Dr. Bernd Fröhlich
  • Teaching assistants

    • Dr. rer. nat. Patrick Riehmann
    • M.Sc. Carl-Feofan Matthes

  • Lecture schedule 

    • Thursday, 13:30-15:00
    • First lecture on April 6th 2017
    • Location: SR 015, Bauhausstr. 11

  • Lab class schedule

    • Tuesday, 17:00 - 18:30 (Bachelor Students)
                       18:30 - 20:00 (International Masters)
    • First lab class: April 25th 2017
    • All lab classes will take place in the LiNT-Pool, Bauhausstr. 11 

  • Office hours by appointment only
  • Target audience

    • B.Sc. Medieninformatik/Mediensysteme, 6. Semester
    • M.Sc. Medieninformatik/Mediensysteme
    • M.Sc. Computer Science and Media (1. and 3. Semester)
    • M.Sc. Human-Computer Interaction
    • M.Sc. MediaArchitecture

  • ECTS Credits

    • 4.5 Credits (MI, CSM, HCI)
    • 6 Credits (MediaArchitecture)

Course Description

The first part of this course presents fundamental and advanced information visualization techniques for multi-dimensional and hierarchical data, graphs, time-series data, cartographic and categorical data. During the second half, algorithms and models for the scientific visualization of volumetric and vector-based data as well as corresponding out-of-core and level-of-detail techniques for handling very large datasets are introduced.

Various approaches presented in lectures will be studied, in part practically through labs and assignments, and with case studies. Lab classes focus on implementing, testing and evaluating the visualization approaches presented during the lectures. This course will be taught in English.

Lecture Notes

The documents from last year serve as a basis and will be further developed. The lectures were also recorded in 2016. The video material and the lecture pdfs (Adobe reader works best) are only available for your personal use! By downloading the material you agree that you do not further distribute it. The pdf files are only available from within the university network or through vpn.

Lab class material

Information Visualisation (Contact: patrick.riehmann(at)

Scientific Visualisation (Contact: carl-feofan.matthes(at)

Final Project

In the final student project, students develop and implement a small visualization system, building on the foundations taught in the course. The individual topics of the student projects should be coordinated with the lab class instructors. Student projects are graded based on a public presentation to the instructors and the other students at the end of the term. Each group has to present their running system along with a few overview slides detailing their idea and approach to the topic.

  • Deadline for submission of student projects: September 8th, 12 pm CET
  • Date of the student project presentation: September 13th, 10 am CET, DBL top floor


Oral Exams

  • Regular exam week: September 25th to 28th, 2017

    • For registration contact Frau Hansens by email maria-theresa.hansens (at) or in person until September 15th.

  • Exams can also be arranged before September 14

    • For registration contact Prof. Fröhlich by email.
    • Exams can be usually offered within a week of the request.
    • In this case, it is not required that you have finished your final project.

  • Alternative exam week: October 10th to 13th 2017

    • For registration contact Prof. Fröhlich by email, explain why you cannot attend in the regular exam week or before and request a time slot for an exam.


  • Grading Information

    • 20 points can be achieved in the lab classes
    • 30 points can be achieved in the final student project
    • The following scheme lists the grades depending on the percentage of the achieved points:

      • 1.0   >=95.0
      • 1.1   [93.5-95.0)
      • 1.2   [92.0-93.5)
      • 1.3   [90.5-92.0)
      • 1.4   [89.0-90.5)
      • 1.5   [87.5-89.0)
      • 1.6   [86.0-87.5)
      • 1.7   [84.5-86.0)
      • 1.8   [83.0-84.5)
      • 1.9   [81.5-83.0)
      • 2.0   [80.0-81.5)
      • 2.1   [78.5-80.0)
      • 2.2   [77.0-78.5)
      • 2.3   [75.5-77.0)
      • 2.4   [74.0-75.5)
      • 2.5   [72.5-74.0)
      • ...
      • 3.0   [65.0-66.5)
      • ...
      • 4.0   [50.0-51.5)
      • Less than 50% is insufficient for an admission to the oral exam.

  • Contributions to the final grade

    • assignments:  20%
    • final project:   30%
    • final exam:     50%