TNM067 - Scientific Visualization - 2019

Teachers: 

Ingrid Hotz email

Lab Assistants: 

Robin Skånberg email, Wito Engelke 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.

News

2019-09-09 New course website is up

2019-09-15 Lab 2 uploaded

2019-09-15 Slides 03 - Data uploaded 

2019-09-16 Additional Material and Teaching Lessions Material uploaded 

Exam

 To pass the course each student has to fulfill the following requirements:

  1. Pass Labs 1 - 4
  2. Preparation of theoretical questions prior to each teaching session
  3. Pass the oral exam

Material

Course material such as Slides, Excercices will be uploaded.

Lab 0 - PDF - Preparation before the first Lab

Lab 1 - PDF - Interpolation, Colormaps and Heightfields

Lab 2 - PDF - Scalar Fields and Volume Rendering 

Problems - PDF - Teaching Lession 1-3 

Source Code - ZIP - Inviwo

Source Code - ZIP - Inviwo Labs

Slides 01 - PDF - Introduction

Slides 02 - PDF - Data

Slides 03 - PDF - Data 

Slides 04 - PDF - Scalar

Additional Material: Math Foundations of Visualization - PDF 

Laborations

These labs will be using Inviwo, a framework for interactive visualization.

Lab schedule

There are a total of 4 labs to be completed in 5 scheduled lab sessions, 4 hours each. They will all be in the Windows 3D lab (K4507).

 

Date/Time Lab
Wed September 11th 17:15-21:00 Lab 1  
Wed September 18th 17:15-21:00 Lab 2
Wed September 25nd 17:15-21:00 Lab 2  
Tue October 1st 13:15-17:00 Lab 3 Last Lab to present 1 and 2
Tue October 8th 13:15-17:00 Lab 3  
Tue October 15th 13:15-17:00 Lab 4 Last Lab to present 3 and 4