Advanced Affective Computing

This is an advanced–level self-standing learning module on Affective Computing. 
Affective Computing is the field where technology meets human emotions. This module consists of 21 micromodules, which cover approx. 10–21 hours of high-quality learning material. One can learn how emotions can be observed and recorded through facial expressions, speech, body pose, and gestures; and how AI systems process this data to understand a person’s state of mind. This course pays particular attention to emotional interaction, where machines not only sense emotions but also respond to them in a natural and empathetic manner. The module also includes emotion AI case studies inspired by real social scenarios such as the Turing test and the COVID-19 pandemic. 
By the end of the course, students will have acquired the fundamental knowledge to understand how affective computing is transforming industries ranging from healthcare and education to gaming and assistive technologies, and how it may influence future interactions between humans, machines, and interfaces.