DD2257 Visualization 7.5 credits

Visualisering

Please note

The information on this page is based on a course syllabus that is not yet valid.

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.

  • Education cycle

    Second cycle
  • Main field of study

    Mathematics
  • Grading scale

    A, B, C, D, E, FX, F

Course offerings

Autumn 18 visual18 for programme students

Autumn 19 visual18 for programme students

Intended learning outcomes

The students should after the course be able to

  • describe basic concepts in visualization
  • describe basic methods for visualization of scalar data, vector data and volume data including time dependent data
  • use a visualization system such as OpenDX for visualization of scalar data, vector data and volume data including time dependent data
  • use a visualization system such as OpenDX for a practical problem.

Course main content

Perception. Fundamental elements of visualization. Techniques and algorithms for volume visualization. New forms of data presentation. Animation. Software tools. Applications, e.g. fluid visualization.

Eligibility

Single course students:
SF1604 Linear algebra, SF1625 Calculus in one variable, SF1626 Calculus in several variables, DD1337  Programming, DD1338 Algorithms and Data Structures, DH2320 Introduction to Visualization and Computer Graphics or corresponding courses.

Recommended prerequisites

The course DH2320 "Introduction to Visualization and Computer Graphics" is recommended.

Literature

Meddelas senast 4 veckor före kursstart. The Visualization Toolkit An Object Oriented Approach to 3D Graphics, Will Schoeder, Ken Martin and Bill Lorensen, 4th Edition har använts föregående år.

Examination

  • LAB1 - Laboratory Assignments, 3.5, grading scale: P, F
  • TEN1 - Examination, 4.0, grading scale: A, B, C, D, E, FX, F

In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.

Offered by

EECS/Media Technology and Interaction Design

Contact

Tino Weinkauf, weinkauf@kth.se

Examiner

Tino Weinkauf <weinkauf@kth.se>

Add-on studies

Please discuss with the instructor.

Version

Course syllabus valid from: Spring 2019.
Examination information valid from: Spring 2019.