Course Visualization

  • Instructor: Prof. Dr. Bernd Fröhlich
  • Teaching assistants
    • M.Sc. Henning Gründl
    • Dipl.-Medsys.wiss. Patrick Riehmann
    • M.Sc. Sebastian Thiele
  • Lecture schedule 
    • Thursday, 15:15-16:45
    • First lecture on 10.April 2014
    • Location: SR 015, Bauhausstr 11
  • Lab class schedule 
    • Wednesday, 17:00 - 18:00 (Bachelor Students) and
                        18:00 -19:00  (International Masters)
    • All scientific visualization lab classes will take place in the
      Lint Pool, Bauhausstr 11
    • Submission InfoVis Assignments:  21.05.2014  17:00 and 18:00 
  • 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)
  • ECTS Credits
    • 4 Credits (Mediensysteme)
    • 4.5 Credits (Medieninformatik, Computer Science and Media)

Course Description

This course focuses on fundamental and advanced techniques for information visualization as well as scientific visualization. It is accompanied by a lab course, in which basic volume rendering and information visualization techniques are implemented and evaluated. This course will be taught in English.

German version: Visualisierung

Im ersten Teil der Veranstaltung werden die wichtigsten Verfahren und Techniken aus dem Bereich der Informationsvisualisierung für folgende Datentypen vorgestellt: multi-dimensionale und hierarchische Daten, Graphen, Zeitreihen, kartographische und kategorische Daten. Der zweite Teil beschäftigt sich mit verschiedenen Ansätzen und Algorithmen zur Visualisierung volumetrischer und vektorieller Simulations- und Messdaten. Die Veranstaltung wird englischsprachig angeboten.

NEWS

Oral Exams

  • July 15 to August 6: please contact me directly with a suggestion for a date that fits with your exam schedule at the latest two weeks before your exam.
  • September 11 to September 17: To sign up for an exam, please contact before September 1st: Maria-Theresa Hansens <maria-theresa.hansens (at) uni-weimar.de>
  • The second date is preferred since you will have your course project finished by then.
  • Oral exams have a duration of about 30 minutes
  • Location: Room 117, Bauhausstr. 11

Consultancy 

  • September 9
  • 15:15 - 16:45
  • Location: Room 014, Bauhausstrasse 11
  • We answer your questions!

 

 

     

Lecture notes (pdf)

The documents from last year serve as a basis and will be further developed. The lecture was recorded in 2012 (video material below). The video material and the lecture pdfs shall only be used to follow up on the lecture and for preparation of the oral exam! No further redistribution is permitted. For other uses, please check with the instructor.

(accessible only from within the university network)

  

 

 

Lab classes

Information visualization

Scientific visualization (Volume Ray Casting)

  • SciVis-Framework (C++ 11 / OpenGL 3.2 Framework)
    • github project
    • Update: 11.06.2014 16:21
    • Visual Studio 2012 or above
    • Linux or Windows (theoretically MacOS)
  • Assignments (VPN) Update 2: 18.06.2014 14:18
  • Additional tooth Volume Data:
  • Bug Update (PDF)
  • Dates
    • Begin: 04.06.2014 17:00 and 18:00 Lint Pool
    • Grading: 09.07.2014 LINT Pool
      • Group 1: 17:00 - 19:00
      • Group 2: 19:00 - 19:30
  • After Grading, you can start with your final project

Final project

  • Requirements
    • Design and implementation of a small visualization project
    • Reappraisal of the concepts presented during the course
  • Procedure
    • Development by individuals or in groups of two
    • Development effort: about one week
  • Presentation
    • Demonstration of the visualization project, supported where possible by a small presentation of the implemented concepts

Data sources for the final project in information visualization

Lots of data:

Further data collections:

 

Gallery of projects of previous semesters

Grading

     

  • Final exam will be an oral exam covering all topics of the course
  • Appointments for oral examination can be made with the computer science secretary (R112, B11)

    •  

  • Requirements for admittance to the final exam
    • In the assignment (exercises 1 to 5) a total amount of 190 points can be achieved
    • The final project is weighted by a factor of 1.5 (= 285 points).
    • The following scheme lists the grades depending on the percentage of the achieved points (assignment + final project = 475 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%