Data Visualization - Winter 2021

Instructor: Amit Chourasia, San Diego Supercomputer Center, UCSD

Teaching assistant: Sagar Hathwar, Computer Science and Engineering, UCSD

Textbook Visualization Analysis and Design, Tamara Munzner (A K Peters Visualization Series, CRC Press, 2014)

Day 1 Jan 9, Day 2 Jan 23 , Day 3 Feb 6 , Day 4 Feb 20 , Day 5 Mar 6 , Day 6 - Finals Mar 13

Class time: 9:00am - 4:30pm

Lunch break: 12:00pm - 1:00pm

Class schedule

Day 1 (Jan 9)

Morning

  • Course structure and logistics
  • Visualization overview and Motivation
  • Review of historical visualizations (time permitting)
  • Abstraction
  • Marks and Channels
  • Rules of thumb

Afternoon

Home work

Day 2 (Jan 23)

Morning

  • Guest Lecture - Applying Color Theory to Visualization. Thersa-Marie Rhyne, Computer Graphics and Visualization Consultant.

    Abstract: We provide an overview of the fundamentals of color theory and approaches to formulating your own colorization guide for visualization content creation Our journey includes the introduction to the concepts of color models and harmony, a review of color vision principles, the defining of color gamut, spaces and systems and demonstrating online and mobile apps for performing color analyses of digital media. Freely available commercial and research tools for your continued use in color selection and color deficiency assessments are highlighted.

  • Colors suppliment
  • Tables

Afternoon

  • Network and Trees
  • Lab: Tableau (TA)
    • Install Tableau software, see [licence information https://canvas.ucsd.edu/courses/21821/discussion_topics/238677] on canvas.

Home work

Day 3 (Feb 6)

Morning

Afternoon

Home work

Day 4 (Feb 20)

Morning

  • Focus and Context
  • Spatial data
  • Case study presentations (By students) - Presentation order TBD
  • 11am-12pm DSE Guest lecture

Afternoon

Home work

Day 5 (Mar 6)

Morning

  • Scientific visualization methods
  • Lab: VisIt Scientific Visualization Software (Instructor)
    • Download and install VisIt for your Operating System as follows
      • Linux, Windows and Mac OS Catalina and earlier. Install VisIt version 3.0.2 version (this is not the latest)
      • Mac OS Catalina (10.15) download (Links to an external site.) VisIt 3.14 version
      • Mac OS Big Sur (11.x) - VisIt does not yet work on this OS, find another laptop or setup a virtual machine with any other supported operating system
    • Download Sample data ~200 mb. Unzip and move to your Desktop.
    • Download Comet host file. Unzip and move this file to ~/.visit/hosts (on linux, mac) or ~/Documents/VisIt/hosts (on windows)
    • Visit CSV to Binary Example
  • 11am-12pm DSE Guest lecture

Afternoon

  • DSE 241 Guest Lecture: Immersive Visualization for Surgical Planning Jurgen Schulze, Director - Immersive Visualization Center, Qualcomm Institute, UCSD

Abstract: Radiological imaging has been part of standard of care for decades. There have been many advances and innovation in the realm of data visualization. Although this has immensely increased the diagnostic capabilities, we can further the impact of this innovation and use the technology as a tool by utilizing state of the art virtual and augmented reality devices. This talk will explore ways to use our software tool to enhance surgical planning and the training of surgery residents. But this is also a tool to engage patients and increase their level of comfort with upcoming procedures.

  • Lab (Continued): VisIt Scientific Visualization Software (Instructor)

Home work

Day 6 - Final exam (Mar 13)

Final project presentations by students Presentation order

Course Grading

Grade calculation will be as follows

Class policy

  • Attendance is mandatory
  • Must complete final project

Guest Lecturers

  1. Applying Color Theory to Visualization - Thersa-Marie Rhyne, Computer Graphics and Visualization Consultant
  2. Immersive Visualization for Surgical Planning - Jurgen Schulze, Director - Immersive Visualization Center, Qualcomm Institute, UCSD