Course PM

This page contains the program of the course. Other information, such as learning outcomes, teachers, literature and examination, are in a separate course PM. In addition to Canvas, we shall use CampusWire for Q&A as a way for both students and teachers to ask and reply on questions that come up. During the introductory meeting I will send out an invitation link to all students to participate in the CampusWire virtual classroom.

Program

In this course you will learn about various concepts, techniques, and tools for visualization of scientific data. The GU course code is MMG640. The Chalmers course code is MVE080. The schedule of the course is in TimeEdit - just search for the course code. There is a seamless integration between lectures and computer labs. Therefore, all teaching will take place in the computer rooms MV:F24-25.

Preliminary course outline (modified throughout the course):

PART 1: 2D VISUALIZATIONS
This part is based on the on-line book Fundamentals of Data Visualization by Claus O. Wilke and on the Matplotlib tutorials.

• Course introduction (slides)
  Relevant links:
  Getting started with the CampusWire learning platform
  Python basics tutorial
  NumPy for MATLAB users
  The conda Python distribution
  Jupyter Notebook basics
• Colors and images (slides)
  Additional references:
  RGB color model
  HSV color model
• Velocity fields and streamlines in 2D (slides)
  Additional references:
  Vector fields
  Streamlines

PART 2: 3D GRAPHICS AND ANIMATION
This part is based on the combination of Blender 3D and Python for scripting.

• Basic math of 3D graphics (slides)
• Blender 3D and Python scripting (slides)
  Download Blender 3D
  Blender manual pages
  Blender Fundamentals Video Tutorials
  Cheat sheet
  Blender Guru Video Tutorial
  Python scripting
• Rotations in 3D: quaternions (slides)
  Notes on quaternions
• Course project (slides)
• Visualization of particle dynamics using Blender (slides)
  PDF notes about Blender particles

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