TNM067 - Scientific Visualization - 2017


Ingrid Hotz email

Lab Assistants: 

Rickard Englund email, Robin Skånberg email

Course abstract:

The purpose of visualization is to allow the user to gain insight into data by representing the data through images. As data can originate from various sources, e.g., medical CT scanners, weather simulation or stock trading logs, different visualization metaphors are needed to represent the data in a meaningful way. Traditionally, visualization is split into two subfields: information visualization and scientific visualization. While information visualization deals with the representation of abstract data often stored in spreadsheets, scientific visualization deals with data, which has an inherent spatial component. Within this course we will focus on scientific visualization and learn how to transform spatial data - which might also have a temporal component - into meaningful visual representations. We will learn how the image representations generated through this transformation process can be both, expressive and - in order to allow interactive visualization - also be generated rapidly.
The course starts with an introduction to visualization, before it focuses on the basics of visualization, such as the visualization pipeline, data representations and fundamental algorithms for scalar and vector visualization. Volume rendering, which exploits besides color also transparency, is covered in an extra block, as it is an essential part of scientific visualization. Finally, perceptual and cognitive aspects are reviewed as knowledge about the human visual system is essential in order to generate expressive visualizations.



  •  Lecture notes for Chapter 1 and 2 is uploaded, find them here



  •  Lab 1 instructions updated

  • Lab 1 files and instructions uploaded , find them here
  • Lecture notes from laste year is uploaded and can be viewed here



  • First lecture: Thu, Aug 31th, Room: K25
  • First lab: Tue, Sept 5th, Room K4507



Course material such as Slides, Excercices will be uploaded at here, username and password will be emailed out to all student registered for the course, if you haven't got an email, please send an email to Rickard Englund. 


These labs will be using Inviwo, a framework for interactive visualization. More information about labs will be online within a few days.

Lab schedule

There are a total of 4 labs to be completed and 6 scheduled lab sessions, 4 hours each. They will all be in the Windows 3D lab (K4507).
Date/Time Lab
Tue Spet 5th 13:15-17:00 Lab 1
Tue Spet 12th 13:15-17:00 Lab 2
Tue Spet 19th 13:15-17:00 Lab 1 and 2 Deadline to present Lab 1 and 2
Tue Spet 26th 13:15-17:00 Lab 3
Tue Oct 3th 13:15-17:00 Lab 4
Tue Oct 10th 13:15-17:00 All labs Deadline to present Lab 3 and 4

Master Thesis in scientific Visualization:

We always have a lot of interesting visualization projects as master thesis to offer. The focus of projects ranges from rendering questions to data analysis, form more software development tasks to more theoretical questions. Applications can be found in many different areas including natural science, medicine and engineering.