SCHEDULE


IMPORTANT NOTE:The COMP484/490 schedule might change during the quarter! Watch this space frequently for any changes (or any updates) during the quarter).
Week 1
Day Class Topic Reading Due Recommendations
M1 Introduction
Syllabus Review
Overview of the class
W1 Project Topics
Project Expectations
Project Groups 		Reading #1 "The Cloud is a Factory" by Nathan Ensmenger
F1 Topics Organization Ready to discuss Reading #1 in class
Week 2
Day Class Topic Reading Due Recommendations
M2 Tamara Dávila [ ]
Invited Speaker
  • Digital activism
  • Q&A
 Reading #2.A Bitcoin's Carbon Footprint (interactive reading from the NYT)
W2 Social Media and Climate Activism Reading #2.B Ready to discuss Reading #2.B in class
F2 Personal Reflection #1
Week 3
Day Class Topic Reading Due Recommendations
M3 Reading #3 "Your AI is a Human" by Sarah T. Roberts Ready to discuss Reading #3 in class
W3 Your A.I. is a Human: Activity
Project Proposal: work day
F3 Project Proposal Day Groups 1,2, and 3
Week 4
Day Class Topic Reading Due Recommendations
M4 Tech Presentation:
- Vizualizations
- APIs
W4 Student-led Tech Presentation:
- QGIS Demo/Walkthrough
- React for WebDev
F4 Group Project: work day Personal Reflection #2
Week 5
Day Class Topic Reading Due Recommendations
M5 Class discussion of Reading #4 Reading #4 "Siri Disciplines" by Halcyon M. Lawrence Ready to discuss Reading #4 in class
W5 Group Project: work day

Mid-Term Break

Friday of Week 5: No Class. Take this time to rest or to contemplate your group's final project.
Week 6
Day Class Topic Reading Due Recommendations
M6 "Hardware and Software: Issues and Solutions" by Group #5
W6 "Electronic Waste (eWaste): Issues and Solutions" by Group #2
F6 Group Project: work day Personal Reflection #3
Week 7
Day Class Topic Reading Due Recommendations
M7 Atomic Object: Recruiting Oportunity and Talk
Invited Company
  • About Atomic Objects
  • Environmental impact of computing resources in app development
  • Q&A
W7 Climate Modeling - Q&A: How do climate models work?
- How artificial intelligence is fast becoming a key tool for climate science
F7 "Data Centers: Issues and Solutions" by Group #4
Week 8
Day Class Topic Reading Due Recommendations
M8 Class discussion of Reading #5 in class Reading #5 "Typing Is Dead" by Thomas S. Mullaney Ready to discuss Reading #5 in class
Reflection Climate Science Submit to Kit
W8 "Climate Sceince: Issues and Solutions" by Group #3
F8 "A.I. Training: Issues and Solutions" by Group #1 Personal Reflection #4
Week 9
Day Class Topic Reading Due Recommendations
M9 Class discussion of Reading #6 in class Reading #6"Sexism is a Feature, Not a Bug" by Mar Hicks Ready to discuss Reading #6 in class
W9 Group Project: work day
F9 Group Project: work day
Week 10
Day Class Topic Reading Due Recommendations
M10 Project Presentations
  • "Impact of Melting Glaciers" by Group #1 (educationaldata analysis & visualization)
W10 Project Presentations
  • "Environmental Data Collection and Visualization of Wildfires" by Group #2 (educational & data visualization)
F10 Project Presentations
  • "Visualizing Wildfires and Historical Weather" by Group #3 (data visualization)
Finals Week
Happy Winter Break!