MATH-432: Probability theoryThe course is based on Durrett's text book
Probability: Theory and Examples.
It takes the measure theory approach to probability theory, wherein expectations are simply abstract integrals.
COM-406: Foundations of Data ScienceWe discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas an
AR-450: Montage and the metropolisThis course will introduce students to the concept of montage as a new paradigm for the perception, experience, and representation of urban and architectural space in modernity. Pursuing an interdisci
