Schedule

Sep 8/10
(No Class)

📚 Orientation
This week, we will post videos providing course information and hold two "meet-and-greet" office hours where students can ask questions:
    ● Sep 10 (Thu) 11:30am-12:30pm
    ● Sep 11 (Fri) 10:30am-11:30am
Videos and office hour zoom links will be provided on LEARN and Slack.

To-Dos (see instructions):
● P1: Ethics Tutorial -- Due: Sept 21/23
● Background About Artificial Intelligence (Optional)

Sep 15 / 17
(Week 1)

📚 Setting the Stage

In-Class:
● Lessons Learned from "AI Literacy through Storytelling" Workshop (30 mins), led by Edith Law
● Prepare for Need-Finding (1hr), led by Erin Hogan
● Invited Talk from Prof. Vivek Goel, President Emeritus (1 hr)

To-Dos (see instructions):
● P2: Prepare for Need Finding

Sep 22 / 24
(Week 2)

🤝 Community-Embedded Classroom: Need Finding

In-Class (with Organizations):
● Introductions (30 mins)
● Values Articulation (30 mins)
● Needs Finding (1 hr)
● Problem Identification (30 mins)

To-Dos:
● D1: Problem Description from Need-Finding

Sep 29 / Oct 1
(Week 3)

📚 Structuring the Team and Project

In-Class:
● Debrief from Need-Finding (20 mins), led by Jennifer Yessis
● Looking Back to Look Ahead: Part I (30 mins), led by Kate Kennedy
● Team Formation (30 mins), led by Edith Law
● Contextual Inquiry (1 hr), led by Edith Law
● Tutorial: Research Techniques in Social Innovation, led by Rachel Figueiredo (30 mins)

To-Dos:
● D2: Contextual Inquiry Plan
● T1: Team Contract
● RE1: Career Goal Summary (Individual, HLTH480 only)

Oct 6 / 8
(Week 4)

📚 Solution Ideation

In-Class:
● Rapid Ideation (1.5 hr), led by Justin Chan
● Mapping AI Capabilities to Use Cases (1.5 hr), led by Aakanksha Khandwaha

To-Dos:
● D3: Aims and Candidate Solutions
● RR1: Research Report Draft
● TC1: Summary of Technical Consultation I

Oct 13 / 15

Reading Week
● No Class

Oct 20 / 22
(Week 5)

📚 Leveraging AI: Algorithms & Apps

In-Class:
● Tutorials (1.5 hr):
     ● AI/ML 101
     ● Prototyping Apps with AI
● Invited Talk on Medical AI Research (1 hr)
     ● Prof. Frank Rudzicz (Dalhousie) - From human signals to responsible clinical AI (Tues)
     ● Dr. Mike Schaekermann (Google Health / Google Research) - AMIE: An Evidence Roadmap for Conversational Medical AI (Thur)
● Preparing for Co-Creation (20 mins)

To-Dos:
● P3: Prepare for Co-Creation

Oct 27 / 29
(Week 6)

🤝 Community-Embedded Classroom: Co-Creation

In-Class (with Organizations):
● Introduction (20 mins)
● Present and Discuss AI and non-AI Solutions (2.5 hr)

To-Dos:
● D4: Findings from Co-Creation

Nov 3 / 5
(Week 7)

📚 Prototype V.0

In-Class:
● Debrief from Co-Creation Session (20 mins)
● Develop Prototype for Target Solution (2.5 hr)

To-Dos:
● D5: V.0 Prototype Design
● P4: Prepare for Peer Evaluation

Nov 10 / 12
(Week 8)

📚 Cognitive Walkthrough and Probing Questions

In-Class:
● Peer Evaluation Session

To-Dos:
● D6: Findings from Peer Evaluation
● TC2: Summary of Technical Consultation II

Nov 17 / 19
(Week 9)

📚 Prototype V.1

In-Class:
● Refine Prototype and Solution

To-Dos:
● D7: V.1 Prototype Design
● P5: Prepare for Demo Day
● PO1: Demo Day Presentation

Nov 24 / 26
(Week 10)

🤝 Community-Embedded Classroom: Demo Day

In-Class:
● AI+Health Symposium

To-Dos:
● D8: Findings from Demo Day
● RE2: Project Reflection (Individual, HLTH480 only)
● Work on final deliverables: PO2, PO3, RR2 (CS698 only) -- Due: Dec 11

Dec 1 / 3
(Week 11)

📚 Wrap-Up

In-Class:
● Looking Back to Look Ahead: Part II (1 hr), led by Kate Kennedy
● Post-Capstone Opportunities (30 mins)
● Project Funding Awards (30 mins)

To-Dos:
● Work on final deliverables: PO2, PO3, RR2 (CS698 only) -- Due: Dec 11

Dec 11
(Week 12)

Due:
● Final deliverables -- PO2, PO3, RR2 (CS698 only)
● T2: Team Assessment