COSC 89.36 Applied AI for Wearable Neurotech

This course explores the potential of AI-driven neurotechnology, a field at the intersection of machine learning, neuroscience, and wearable systems. By leveraging real-time brain data through EEG-based devices, students will gain hands-on experience designing and developing digital health solutions. These solutions aim to enhance cognitive performance, monitor mental health, and facilitate applications like lucid dream induction and cognitive state classification. Combining foundational research, practical coding assignments, and a capstone project, this course equips students with cutting-edge skills to innovate in the rapidly evolving landscape of neurotechnology.

Degree Requirement Attributes

Dist:TAS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Department-Specific Course Categories

Computer Science