Winter Semester 2012/2013


The oral exam is scheduled for February 22, 2013 (Friday).
  • In preparation for the exam, you can ask questions about the content of the class in our last session on February 6 (Wednesday).
  • During the exam, each student will be questioned individually for 22 minutes.
  • The exam will take place in the office of Jens Krüger, Campus D3.2, Room 2.32, see also this video
  • Please be there on time. We are on a very tight schedule.
Start time of the exam Student
08:00 Afsariyeganeh, Elham
08:30 Eghbali, Mandana
09:30 Iliev, Radoslav
10:00 Khan, Waqar Ahmed
10:30 Khoreva, Anna
11:00 Kozlov, Yeara
11:30 Meignana Murthy, Somnath
12:00 Miller, Dmitrij
13:00 Mukha, Viktor
13:30 Nedunchezhian, Ashok Kumar
14:00 Pacia, Joanna
14:30 Sattar, Hosnieh
15:00 Sierra, Alejandro
15:30 Sotnychenko, Oleksandr
16:00 Stopper, Gebhard
16:30 Tughushi, Nutsa
17:00 Wittefeld, Bernd

Jan 28: The class is cancelled for Monday, Jan 28. We will proceed on Wednesday, Jan 30.

Jan 7: First class in 2013.

Dec 17: Last class in 2012. We will talk about flow visualization, watch a movie about it, and eat cookies.

Nov 5: The class is cancelled for Monday, Nov 5. We will proceed on Wednesday, Nov 7.

Oct 22: All students are required to register for the oral exam in the HISPOS system. Exam registration is possible until November 4th, 2012. A withdrawl is possible until two weeks before the exam. In case of problems wih the exam registration, the students can contact:

Oct 22: Please send me an email to add you to an email list for announcements.

Oct 22: Lectures will be in room 0.08 of the MMCI building. Lecture times updated.

Oct 22: The lecture will start on Monday, October 22nd.

This page will be updated during the semester.


The focus of this introductory course is on discussing efficient techniques to visually represent large-scale data sets from simulation and measurement. Starting with a brief introduction on the data generation processes the visualization pipeline, data structures, mapping techniques and special rendering techniques for scientific data will be discussed. Various examples will be given to outline the benefits of visualization techniques in practical applications.

See some visualizations for yourself (these videos have been created with Amira by me and my colleagues at Zuse Institute Berlin):

Course topics:

Expected Work

The course is suitable for MS students. Familiarity with basic computer graphics (or motivation to learn this fast) is desirable. Assessment will be based on an oral exam at the end of the semester.

Oral Exam