Electrical Engineering and Computer Science

Winter 2021: Applied Machine Learning for Affective Computing

Winter 2021: Applied Machine Learning for Affective Computing

Course No:
EECS 598-010
Credit Hours:
4 credits
Instructor:
Emily Mower Provost
Prerequisites:
Grad Standing - enrollment is by override only; to request an override please waitlist for the course

This course covers the concepts and techniques that underlie machine learning of human behavior across multiple interaction modalities. Topics include: speech/text/gestural behavior recognition through applications of machine learning, including deep learning. The course will also include discussions of the cybersecurity challenges associated with this domain. Fluency in a standard object-oriented programming language is assumed. Prior experience with speech or other data modeling is neither required nor assumed.

More info (pdf)