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This course will examine the theory and practical application of environmental chemistry and toxicology for assessing the behavior, toxicity and human health risks of chemical contaminants in the environment. The goals of the course are to: (a) illustrate how various sub-disciplines in environmental...

Mathematical modeling is the essential component of the revolution in computation-based research over the past decade. While designing mathematical models is itself an art form, it is equally important to learn how to transform them into computational systems that allow robust evaluation, which...

This course recognizes plants as one of the most expressive materials of the artform — a living medium that distinguishes the discipline from the other applied sciences and fine arts. The goal of the course is to introduce the global potential of plants as a means of design for shaping the character...

We are in the big data era and data systems sit in the critical path of everything we do. We are going through major transformations in businesses, sciences, as well as everyday life - collecting and analyzing data changes everything and data systems provide the means to store and analyze a massive ...

ES 201/AM 231 is a course in statistical inference and estimation from a signal processing perspective. The course will emphasize the entire pipeline from writing a model, estimating its parameters and performing inference utilizing real data. The first part of the course will focus on linear and no...

In the face of crises spanning pandemics, political turmoil, and the rapid degradation of the planet’s natural systems—all within a backdrop of myriad inequalities—the power of plants in shaping human experience has been proven. Erosive pressures associated with changes to climate have placed global...

#GSD6338 is an introductory course on Computational Design, with particular focus on architecture, landscape, and urbanism.In this course, we will understand "Computational Design" as the set of methods borrowed from fields such as computer science, mathematics and geometry, applied to solving desig...

This course introduces students to methods of construction: conceptually, historically, and practically. We will consider how construction techniques emerge in relation to architectural desires and technical criteria in order to emphasize the architect’s agency in shaping construction systems within...

The MS/MBA Capstone is an intensive project that requires teams of students to apply and integrate the skills they have learned across core disciplines developed in the program curriculum. Specifically, teams will be expected to design, build and launch a new technology-based product/service venture...

The MS/MBA Capstone is an intensive project that requires teams of students to apply and integrate the skills they have learned across core disciplines developed in the program curriculum. Specifically, teams will be expected to design, build and launch a new technology-based product/service venture...

This course covers a combination of linear algebra and multivariate calculus with an eye towards solving systems of equations and optimization problems. Students will learn how to prove some key results, and will also implement these ideas with code. Linear algebra: matrices, vector spaces, bases an...

This graduate level course studies dynamic systems in time domain with inputs and outputs. Students will learn how to design estimator and controller for a system to ensure desirable properties (e.g., stability, performance, robustness) of the dynamical system. In particular, the course will focus o...

This course introduces electrochemical systems through the lens of thermodynamics, kinetics, and transport. We begin by asking what fundamental role an electron plays in a chemical reaction, then we move to methods to treat electrons through traditional chemical kinetic theories, and last, we discus...

Recent years have seen AI successfully applied to societal challenge problems. Indeed, recognizing the potential of AI for tremendous social impact in the future, "AI for social impact" is growing as a subdiscipline within AI. In this course, we will discuss successful case studies of  use...