8:30 - 9:00am | Introductions
9:00 - 11:15am | Topic 1: Introduction to Machine Learning
11:15 - 11:30am | Break
11:30 - 1:00pm | Topic 2: Social Network Analysis and Disinformation
1:00 - 1:45pm | Lunch
1:45 - 2:45pm | Topic 2 (continued)
2:45 - 3:00pm | Break
3:00 - 5:30pm | Topic 3: Introduction to Deep Learning
9:00 - 11:15am | Topic 4. Privacy, Fairness, and Explainable AI
11:15 - 11:30pm | Break
11:30 - 1:30pm | Topic 5. NRT-Mini Workshop-1: Effective Communication
1:30 - 2:00pm | Lunch Break
2:00 - 3:15pm | Topic 5 (continued)
3:15 - 3:30pm | Break
3:30 - 5:30pm | Topic 6. NRT-Mini Workshop-2: Entrepreneurship & Leadership
8:30 - 10:30am | Topic 7. AI in Smart Health: Analyzing Echocardiographs
10:30 - 10:45pm | Break
10:45 - 1:00pm | Topic 8. Multimodal AI and Self-supervised learning: Theory and Applications in Smart Health
1:00 - 1:45pm | Lunch Break
1:45 - 3:45pm | Topic 9: Hands-on with Practical AI platforms
3:45 - 4:00pm | Break
4:00 - 5:00pm | Invitation Only | CRESH Track-2 Project Team Meeting
5:00 - 6:00pm | Invitation Only | BridgesDH NRT Project Team Meeting
(TBD) | Invitation Only | Train-the-Trainer Session
Summer school attendees are expected to be undergraduate seniors, graduate students, faculty, and others with appropriate background or interests.
Level of treatment will be appropriate for a senior undergraduate/first year graduate student, with a general background in science, engineering, or in the biomedical field. Others with background in business or quantitative social science, such as economics should also be able to follow most of the material.
For more information, please contact Don Adjeroh, PhD, Professor and Associate Chair of LCSEE, Project Lead PI.