MSE-305: Introduction to atomic-scale modelingThis course provides an introduction to the modeling of matter at the atomic scale, using interactive Jupyter notebooks to see several of the core concepts of materials science in action.
MSE-671: Computation, Modeling and VisualizationThe student has been exposed to the use of modelling, coding, and visualization as a means to understand a research problem more deeply.
The student will have experience in symbolic and numerical of M
COM-304: Communications projectThe course teaches the development of systems that solve real-world challenges in communications, signal processing, AI, and robotics. Students will work in teams, construct their ideas, and either pr
CS-524: Computational complexityIn computational complexity we study the computational resources needed to solve problems and understand the relation between different types of computation.
This course advances the students knowle
MGT-632: Recursive Methods in MacroeconomicsThis is a PhD course on recursive methods used in modern macroeconomics. Recursive
representations of macroeconomic models are useful because they are parsimonious and allow
the computer to be used to
CS-602: Foundation of probabilistic proofsProbabilistic proof system (eg PCPs and IPs) have had a tremendous impact on the theoretical computer science, and have also found practical uses. They underlie delegation of computation protocols and
AR-401(y): Studio MA1 (Huang)The studio examines the effects of artificial intelligence and automation on architecture and cities. We explore meaningful form generating processes by the use of algorithmic and parametric tools and
