Date	Presentations	Assignment
8/29	Introduction
8/31	Project Topics (Ruiqi Wang)
	Smart Kitchen (Yejin Lee)
9/5	Project Guidelines
9/7	Computer Vision Tutorial (Ruiqi Wang)
9/12	IoT Primer	Critique 1
9/14	Clinical Monitoring
9/19	Proposal Presentation	Proposal Due
9/21	Contact Tracing (Jingwen Zhang)
9/26	Internet of Medical Things (ioMT)	Critique 2
9/28	Measure Respiration Rate
10/3	IoMT for Perioperative Care (Jingwen Zhang)	Critique 3
	AWS Tutorial (Jingwen Zhang)
10/5	Clinically Meaningful Machine Learning (Sunny Lou)
10/10	Fall Break
10/12	Predict Clinician Burnout (Hanyang Liu)
10/17	Demo I
10/19
10/24	AI for Critical Care (Ahmed Said)	Critique 4
10/26	Predict Treatment Effect (Bing Xue)
10/31	Predict Treatment Response with Wearables (Jingwen Zhang)
11/2	Security and Privacy in Healthcare (Ning Zhang)
11/7	Clinical ML at the Point-of-Care (Thomas Kannampallil)
11/9	AI for Perioperative Care (Joanna Abraham)	Critique 5
11/14	Demo II
11/16
11/21	Predict Postoperative Complications (Bing Xue)
11/23	Thanksgiving
11/28	Causal Machine Learning for Real-world Evidence Generation (Linying Zhang)
11/30	Progressive Neural Compression for Adaptive Image Offloading (Ruiqi Wang)
	Final Demo and Report Guidelines
12/5	Prepare for Demos - Cupples I 207
12/7	Final Demos - Cupples I 207, 1-3:20
12/12	Project Report Due