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About

Overview

The focus of this course is on discussing efficient techniques to visually represent large-scale data sets from simulation and measurement. We will discuss the visualization pipeline, data structures, mapping techniques and special rendering techniques for data from different application domains such as fluid dynamics, climate research, medicine or biology. 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 Links to an external site. by me and my colleagues at Zuse Institute Berlin Links to an external site.):

Vortex Structures in a Flow behind a Circular Cylinder Links to an external site.Vortex Structures in a Flow behind a Circular Cylinder

Course topics: 

  • Data Acquisition
  • Data Representation & Interpolation
  • Filtering techniques
  • Basic mapping techniques
  • Tree/Graph visualization
  • Multidimensional visualization
  • Volume Visualization
  • Flow Visualization
  • Feature Analysis
  • Topology

Schedule and Materials

The lecture videos can be found in the respective module. New Assignments are available on Fridays.

Software

Inviwo Links to an external site. is our programming framework for the practical tutorials. The software is open source (BSD). It is installed in the computer room Matsalen, but for the practical tutorials, you will have to compile and run Inviwo on your own machine by following the Inviwo Setup instructions. We will also take a look at this in the first tutorial, so don't worry if you have no prior experience with C++ and/or CMake.  

Expected Work

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

Assignments

Practical assignments are done in group work (teams of three students) and consist of coding visualization algorithms within the Inviwo framework. Grading is done using interviews.

Theoretical assignments are done in individual work and cover the understanding of basic definitions, the execution of formulas, and occasionally a proof. Grading is done by the professor and the TA.

To be admitted to the exam, you need to have

  • Turned in 100% of all homework assignments. Yes, you need to work on all assignments.
  • Received at least 50% of all homework points.

Exam

  • Written exam, 2 hours time
    • Whether or not we write the exam at the university or at home, we will need to decide based on KTH's recommendations.

Literature

Feedback

We appreciate your feedback! Please let us know:

  • ...if you find a certain part of the lecture hard to understand or not well explained.
  • ...any suggestions how to improve the lecture or the exercises.
  • ...any other questions, suggestions or concerns.

People

Teacher: Tino Weinkauf

Teaching Assistants:

We look into canvas discussions and emails around 5 pm every day. You can also reach us during office hours in the Zoom-room of the course:

  • Day: Wednesday
  • Time: 15-16