TNM067 - Scientific Visualization - 2016

Teachers: 

Ingrid Hotz email

Lab Assistants: 

Sathish Kottravel email, Rickard Englund 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: 

  • First lecture: Fri, Sept 2nd (no lectur on Wed, Aug 31) 
  • Additional lecture: Tue 6th, 13:00-15:00,  Room: K23
  • No lecture on Wed, Sept 7th and Fri, Spet 9nd
  • Lecture from Wed, Sept 28th has been mooved to Mon, Oct 3rd, 8:15-10:00, Room K25
  • No Lecture on Fr, Sept 30, 
  • Additional lecture Wed Oct 12, 10:15-12:00 room K21

  • Exam week January 2- 6, please contact me if you want to schedule an oral exame

 

We allways have interesting master project, if your are interested contact us.

Results of the exams

Grade

5

4

3

failed

#Students

6

5

6

4

 

Course slides:

currently these are the slides from the previous year, they will be updated after each lecture. 

Last years slides

Exercises:

 

 

 

Labs:

The labs will be using Inviwo, a framework for interactive visualization. For support after lab hours we have created a forum for the course at http://www.inviwo.org/forum . To gain access to this forum your account need to be in the TNM067 group, email me the username and I will put you in that group. Only students of the course will be able to see this forum so feel free to ask any questions related to the labs. You can use the following link to create an account http://bit.ly/2cSGCB0.
Lab Content Files
1 Interpolation, Colormaps and Heightfields

instructions

files

2 Scalar Fields and Volume Rendering

instructions

files

3 Vector field Visualization

instructions

files

4 Tensor field Visualization

instructions

files

Lab schedule

Data/time Lab
13th sept Lab 1
20th sept Lab 2
27th sept Lab 1 and 2
4th oct Lab 3
6th oct Lab 4
11th oct 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.