Theoretical Foundations
This section gathers the core theoretical materials that define our study of Data Science. Here you’ll find lectures, key readings, and philosophical perspectives that ground your practical work in rigorous conceptual frameworks.
Lecture Slides & Notes
Core slide decks and summaries used in class discussions — the backbone of our theoretical exploration.
View Lectures →Foundational Readings
Selected academic articles, essays, and texts that illuminate the underlying logic of data-driven inquiry.
Browse Readings →AI Philosophy & Ethics
Explorations into the philosophy of artificial intelligence, the ethics of automation, and the human–machine relationship.
Explore Topics →