Scientific Visualization (MMG640 / MVE080)

Teacher: Klas Modin

 

Schedule (normally):

     Mon 13:15–15:00

     Wed 08:00–11:45

 

Where: MV:F24-25

Why?

A picture is worth a thousand GB

Examples

Source: Fundamentals of Data Visualization by C. Wilke

Examples

Examples

Examples

Examples

Examples

Examples

Extreme example

Philosophy of the course

  • Hands-on: always have a computer in front of you
     
  • Use internet to find information
     
  • Tools and trends change rapidly: learn to learn new tools
     
  • Use online tutorials and books
     
  • Concepts remain: understand visualization concepts
     
  • Use open-source when possible

What's in the course?

PART 1: 2D VISUALIZATIONS
(based on-line book by C. Wilke and Matplotlib tutorials)

  • Visualizing data: Mapping data onto aesthetics
  • Colors and color spaces: theory and application
  • Various types of plots: images, velocity and streamline plots, contour plots

PART 2: 3D GRAPHICS AND ANIMATION
(based on Blender 3D tutorials and tailored assignments)

  • 3D plotting: mesh types, ray-tracing, surface rendering, velocity and streamline plots, volume rendering
  • Basic animation of time-dependent data
  • Basic shading of 3D objects
  • Rotations in 3D: quaternions and their use
  • Visualization of moving particles (if time permits)

Tools we use

How we learn

  • Hands-on (80% lab, 20% lectures)
  • Weakly work-sheets
  • Learn from each other (peer learning)

Philosophy of learning

Learning platforms

  • We use it for hand-ins, general course information, final exam
  • We use it for announcements, Q&A, discussions, chat, etc.

Preliminary outline

Week Contents Platform
1-3
PART 1 		Course introduction
2D Visualization: various types of plots
Colors and images		 Jupyter
Python
4-6
PART 2 		Mesh data and surface plots in 3D
Velocity fields and streamlines in 3D
Animating time-dependent data
Python scripting		 Blender
Python
7 Take-home exam
7-8 Course project Blender
Python

Course project examples

Max Blom, HT-2019

Course project examples

Johan Ramne, HT-2019

Course project examples

Jiaxin Sun, HT-2019

Course project examples

Erik von Brömssen, HT-2019

Work flow

  • Compulsory work-sheets, one per week
     
  • Short "theory" lectures and discussions during class/lab
     
  • One course project
     
  • Take home exam
     

Getting started with Python/Jupyter

On Linux: open a terminal and run command

>> source /chalmers/groups/anaconda/anaconda3/bin/activate

 

Then run command

>> jupyter notebook