By the end of this course students develop theoretical understanding of the field of affective computing and learn hands-on skills for quantifying emotions.

Theoretical understanding includes:

- Physiological underlay of emotions in the brain

- Emotion classification approaches: category based classification versus dimension based classification

- Role of emotions in goal oriented action and executive decision making

- Emotional models

Hands-on skills include:

- Facial expression recognition from camera or EMG recordings

- Stress recognition from eyetrack or skin conductance recordings

- Sentiment analysis in verbal communication