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
CS-456: Deep reinforcement learningThis course provides an overview and introduces modern methods for reinforcement learning (RL.) The course starts with the fundamentals of RL, such as Q-learning, and delves into commonly used approac
FIN-601: Theoretical corporate financeThe aim of this course is to expose students to important topics in the literature on corporate finance. The objective of the course is to give students a working understanding of key papers and to ex
CH-250: Mathematical methods in chemistryThis course consists of two parts. The first part covers basic concepts of molecular symmetry and the application of group theory to describe it. The second part introduces Laplace transforms and Four
AR-527: Construction policyConstruction Policy seeks to familiarise architecture and engineering students with instruments of policy analysis, evaluation and, eventually, design. This by introducing elements of policy theory, e
CS-430: Intelligent agentsSoftware agents are widely used to control physical, economic and financial processes. The course presents practical methods for implementing software agents and multi-agent systems, supported by prog
AR-534: Domestic space in the 20th centuryThis course is part of a three-year trajectory dedicated to a comprehensive history of domestic space and its relationship with urban form, from prehistory to Neoliberalism.