INFO 5610 - Sensors, Systems and Algorithms for Precision Behavioral Health

Fall. 3 credits. Letter grades only.

Prerequisite: CS 5785 /ECE 5414 /ORIE 5750 or demonstrated foundational programing and machine learning knowledge. Enrollment limited to: Cornell Tech students.

D. Adler.

Precision Behavioral Health will introduce students to the sensors, computational systems and algorithms that will play a transformative role in the diagnosis, treatment, and management of mental and behavioral health. Recent computational advancements have repurposed ubiquitous technologies for passive and remote mental health measurement. These technologies have the potential to disrupt mental healthcare, giving clinicians more resources to manage patients’ mental health and deliver care at lower cost. Yet, these technologies will also disrupt clinical workflows and data sharing norms, requiring frameworks for responsible use. Within this course, students will participate in seminar discussions and hands-on projects to learn about the ongoing advancements in multi-modal sensor fusion and AI algorithms for symptom measurement, technology-driven intervention, and the ethical implications of building these tools.