Course Visualization

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.

• Please have a look at the videos of the lectures for exam preparation - videos are coming online first week of August.
  

The documents from last year serve as a basis and will be further developed. The lectures were recorded in 2016 and most of them are updated in 2018. 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.

• InfoVis Basics I (5. April 2018) (see also Munzner's book for exam preparation)
• InfoVis Basics II (12. April 2018) (see also Munzner's book for exam preparation)
• InfoVis Basics III (19. April 2018) (see also Munzner's book for exam preparation)
  • Video Eureka
  • Video Film Finder
• Multi-Attribute Visualization (26. April 2018) (video, use passwd from 2016 - see InfoVis Basics I)
  • Video Influence Explorer
  • Video Prosection Matrix
  • Video Scatter Dice
• Parallel Coordinates (3. May 2018, updated 17. May 2018)(video, user is vr and passwd as usual)
  • Product Explorer
• Categorical Data (17. May 2018) (video)
• Time Series (24. May 2018) (video)
• Introduction to Scientific Visualization (no lecture, watch videos from previous year for preparation of next lecture, use passwd from 2016 - see InfoVis Basics I)) (video1, video2, video3, video4)
• Color Maps, Contours and Iso-Surfaces (no lecture, watch videos from previous year if you are interested in the topic, use passwd from 2016 - see InfoVis Basics I)) (video1, video2, video3)
• Direct Volume Rendering (31. May 2018) (video)
• Advanced Volume Rendering Techniques (7. June 2018) (video)
• Multi-Resolution Volume Rendering (14. June 2018) (video)
• Trees (21.06.2018) (video, use passwd from 2016 - see InfoVis Basics I)
• Graphs and Networks (21.06.2018) (video, use passwd from 2016 - see InfoVis Basics I)
  • Video Sunburst
  • Video Gnutella
  • Interactive Sankey Diagrams
• Vectorfield Visualization (28.06.2018)(video)
• Maps (no lecture, pdf only, not part of the oral exam)
• Text and Document Visualization (05.07.2018) (video)

Information Visualisation (Contact: patrick.riehmann(at)uni-weimar.de)

• InfoVis-Framework (Eclipse-Project)
• Assignments

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

• SciVis-Framework (Github)
• Assignments

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 10, 2018, 12 pm
  
• Date of the student project presentation: September 12, 2018, 10 am, DBL top floor
  

• Regular exam week: September 24th to 28th, 2018
  • For registration contact Frau Hansens by email maria-theresa.hansens (at) uni-weimar.de or in person until September 14th.
• 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 15th to 19th 2018
  
  • For registration contact Prof. Fröhlich by email, explain why you cannot take your exam during 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%