Data Visualization - Winter 2025

Instructors:

Neil Smith, Qualcomm Institute, UCSD

Teaching assistant: Jasmine Roberts jar053@ucsd.edu

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


Day 1 Jan 10, Day 2 Jan 24, Day 3 Feb 7 , Day 4 Feb 21 , Day 5 Mar 7 , Day 6 - Finals Mar 14 (Zoom)

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

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


Class schedule

Day 1 (Jan 10) Classroom: Qualcomm Conference Center (ZOOM)

Morning

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

Afternoon

Home work


Day 2 (Jan 24) Classroom: SDSC Auditorium (ZOOM)

Morning

  • Validation
  • Tables

Afternoon

Home work


Day 3 (Feb 7) Classroom: SDSC Auditorium (In person)

Morning

Afternoon

Home work


Day 4 (Feb 21) Classroom: SDSC Auditorium

Morning

  • Scientific Visualization, Spatial Data, Case Studies
  • 11am-12pm DSE Guest lecture

Afternoon

Home work


Day 5 (Mar 7) Classroom: SDSC Auditorium

Morning (SDSC Auditorium)

  • Remarks on Final Project and Intro to 3D Visualization
  • Lab: Tutorial on Visualization Toolkit (VTK)-Isaac Nealey
  • 11am-12pm DSE Guest lecture

Afternoon (Spatial Computing Lab, Qi)

Home work


Day 6 - Final exam (Mar 14) Classroom: SDSC Auditorium

Final project presentations by students (Students can present in person or over Zoom: https://ucsd.zoom.us/my/drngsmith)

Select your presentation slot on Canvas Calendar


Course Grading

Grade calculation will be as follows


Class policy

  • Attendance is mandatory
  • Must complete final project