Knowledge Tracing: Student Learning and Latent Variables

Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.

Explores the use of visual extensions, such as virtual reality and augmented reality, in enhancing workplace efficiency and communication.

Explores the Optima case study, analyzing attitudes and mode choice.

Explores textual data classification, focusing on methods like Naive Bayes and dimensionality reduction techniques like Principal Component Analysis.

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.