| Week |
Tuesday |
Thursday |
|
1
|
|
January 7
|
|
Lecture 1:
|
- Introduction and course overview
- Course administration
|
|
|
January 9
|
|
Module 1 Lecture 1:
|
- AI/ML: The Same Difference?
|
|
|
2
|
|
January 14
|
|
Module 1 Lecture 2:
|
- Machines Think Differently
|
|
|
January 16
|
|
Module 1 Lecture 3:
|
|
|
|
3
|
|
January 21
|
|
Module 1 Lecture 4:
|
- The Power & Peril of Training
|
|
|
January 23
|
|
Module 1 Lecture 5:
|
|
|
|
4
|
|
January 28
|
|
Module 1 Lecture 6:
|
- AI/ML: The Platform for Emerging Tech
|
|
|
January 30
|
|
Module 2 Lecture 1:
|
|
|
|
5
|
|
February 4
|
|
Module 2 Lecture 2:
|
- Physical propagation challenges
|
|
|
February 6
|
|
Module 2 Lecture 3:
|
- Device message propagation
|
|
|
6
|
|
February 11
|
|
Module 2 Lecture 4:
|
- Common communication languages
|
|
|
February 13
|
|
Module 2 Lecture 5:
|
- Device performance and scalability
|
|
|
7
|
|
February 18
|
|
Module 2 Lecture 6:
|
- Data privacy in-home and out
|
|
|
February 20
|
|
Module 3 Lecture 1:
|
- Introduction to Healthcare IoT and Medical CPS
|
|
|
8
|
|
February 25
|
|
Module 3 Lecture 2:
|
- Edge/Fog Computing and Their Case Studies in Smart and Connected Healthcare Systems
|
|
|
February 27
|
|
Module 3 Lecture 3:
|
- Case Studies I:
- Smart Pain Assessment
- Mobile Phonocardiography Diagnostic System for Newborns
|
|
|
9
|
|
March 3
|
Module 3 Lecture 4:
|
- Case Studies II:
- Smart and Connected Maternity Care
|
|
|
March 5
|
|
Module 3 Lecture 5:
|
- Case Studies III:
- Stress Monitoring in Everyday Settings
- Parkinson's Disease Early Diagnosis and Tracking
|
|
|
10
|
|
March 10
|
|
Module 3 Lecture 6:
|
- Internet of Cognitive Things for Personalized Healthcare
- A Case Study on Early Warning Score Systems
|
|
March 12 Tuesday, March 17, 8am
|
|
Lecture 20:
|
- Course conclusion
- Rescheduled to Tue, Mar 17, 8am
|
|
|
Final
|
|
|
