Week 1 assignment: reflection and discussion on AI fundamentals
📝 Course Assignments
This section contains all assignments, activities, and project milestones for the course. Assignments reinforce learning goals and build skills in analysis, communication, and critical thinking about AI and society.
📋 Assignment Overview
| Week | Topic | Assignment | Due | Weight |
|---|---|---|---|---|
| 1 | Fundamentals of AI | Week 1 Assignment | End of Week 1 | 5% |
| 2 | AI Systems & Data | Week 2 Assignment | End of Week 2 | 5% |
| 3 | Ethics & Bias | Week 3 Assignment | End of Week 3 | 5% |
| 4 | Policy & Governance | Week 4 Assignment | End of Week 4 | 5% |
| 5 | Employment & Economics | Week 5 Assignment | End of Week 5 | 5% |
| 6 | AI in Society | Week 6 Assignment | End of Week 6 | 5% |
| 7 | Midterm Assessment | Midterm Exam | End of Week 7 | 20% |
| 8 | Case Studies | Week 8 Assignment | End of Week 8 | 5% |
| 9 | Emerging Issues | Week 9 Assignment | End of Week 9 | 5% |
| 10 | Autonomous Systems | Week 10 Assignment | End of Week 10 | 5% |
| 11 | Futures & Regulation | Week 11 Assignment | End of Week 11 | 5% |
| 12 | Final Project | Final Project | End of Week 12 | 20% |
📌 Assignment Types
Weekly Reflections & Discussion Posts
Short reflection essays and discussion forum participation (5-10 minutes each).
Reading Quizzes
Low-stakes knowledge checks on weekly readings.
Analysis & Critique Papers
Deep analysis of AI systems, policies, and societal impacts.
Case Study Reports
Investigation and presentation of real-world AI applications.
Midterm & Final Assessments
Cumulative assessments of learning goals.
Final Project
Student-led exploration of an AI and society topic of choice.
📤 Submission Guidelines
- Submit all assignments through D2L Brightspace unless otherwise noted
- Use standard formatting: 12pt font, 1-inch margins, double-spaced
- Late submissions accepted with 10% penalty per day, max 3 days late
- See individual assignment pages for specific rubrics and expectations
📌 Need accommodations? Contact your instructor as soon as possible.
Week 2 Assignment: Data Analysis Exercise
Week 2 assignment: analyzing data and training decisions
Week 3 Assignment: Bias Case Study Analysis
Week 3 assignment: analyzing a real-world algorithmic bias incident
Week 4 Assignment: Policy Analysis
Week 4 assignment: analyzing AI policy and regulatory frameworks
Week 5 Assignment: AI & Employment Analysis
Week 5 assignment: analyzing AI impact on a specific occupation or industry
Week 6 Assignment: Domain-Specific AI Application Analysis
Week 6 assignment: deep analysis of AI in a specific domain
Midterm Assessment
Midterm exam for the AI and Society course
Week 8 Assignment: Case Study Report
Week 8 assignment: detailed case study analysis and presentation
Week 9 Assignment: Privacy & Emerging Tech Analysis
Week 9 assignment: analysis of privacy, surveillance, and emerging AI technologies
Week 10 Assignment: Autonomous Systems Risk Assessment
Week 10 assignment: analyzing risks and accountability in autonomous systems