Courses

Prerequisites: STAT GU4204 and STAT GU4205 A fast-paced introduction to statistical methods used in quantitative finance. Financial applications and statistical methodologies are intertwined in all lectures. Topics include regression analysis and applications to the Capital Asset Pricing Model and multifactor pricing models, principal components and multivariate analysis, smoothing techniques and estimation of yield curves statistical methods for financial time series, value at risk, term structure models and fixed income research, and estimation and modeling of volatilities. Hands-on experience with financial data.

Prerequisites: At least one semester of calculus. A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markovs inequality.

Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.

Prerequisites: STAT GU5204 and STAT GU5205 Open to MA students in Statistics only Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.

Open to MA students in Statistics only Prerequisites: STAT GU4205 or the equivalent. Least squares smoothing and prediction, linear systems, Fourier analysis, and spectral estimation. Impulse response and transfer function. Fourier series, the fast Fourier transform, autocorrelation function, and spectral density. Univariate Box-Jenkins modeling and forecasting. Emphasis on applications. Examples from the physical sciences, social sciences, and business. Computing is an integral part of the course.

Prerequisites: STAT GR5206 or the equivalent. Open to MA students in Statistics only The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible.

Prerequisites: STAT GR5204 or the equivalent. STAT GR5205 is recommended. Open to MA students in Statistics only A fast-paced introduction to statistical methods used in quantitative finance. Financial applications and statistical methodologies are intertwined in all lectures. Topics include regression analysis and applications to the Capital Asset Pricing Model and multifactor pricing models, principal components and multivariate analysis, smoothing techniques and estimation of yield curves statistical methods for financial time series, value at risk, term structure models and fixed income research, and estimation and modeling of volatilities. Hands-on experience with financial data.

The purpose of this course is to provide an overview of trends and best practices in corporate communications relating to sustainability, with a particular focus on global sustainability reporting frameworks and green marketing communications. It is designed for those who hold/will hold positions in organizations with responsibilities for communicating the sustainability goals, challenges and achievements, as well as accurately and honestly communicating the environmental aspects of an organization's products and services. Increasingly, large corporations are creating c-suite roles or dedicated departments to oversee this function. More typically, multiple functions contribute information such as: Corporate Communications, Marketing, Community Affairs, Public Policy, Environmental Health & Safety, R&D, Facilities, Operations and Legal. Benefits of reporting range from building trust with stakeholders, and uncovering risks and opportunities; to contributing to stronger long-term business strategy, and creating new products and services.

In an era of growing environmental and social awareness, supply chains have emerged as a powerful lever for driving
sustainability in operations. Supply chain emissions are, on average, 11.4 times higher than operational emissions (1)
making them a critical focal point for impactful change in operations. This course explores the essential role of supply
chains in achieving sustainable outcomes and equips students with the tools and insights needed to transform
conventional practices into innovative, responsible, and efficient systems. This course is part of a broader curriculum
aimed at cultivating leaders who can integrate sustainability into the heart of business strategy. It is designed for
students from diverse professional and academic backgrounds, no prior experience in operations or supply chain
management is required to excel in this course.

Through this interdisciplinary journey, students will gain a robust foundation in supply chain management, learning
to integrate sustainability principles across operations. The course balances analytical skills with creative problem-
solving, preparing students to address real-world challenges. Upon completing this course, students will gain a
comprehensive skillset to analyze, design, and implement sustainable operations solutions in their future careers.
Students will gain a comprehensive understanding of the strategic role of supply chains in modern economies,
including their critical impact in decarbonization efforts. Students will also learn to apply key analytical tools such as
demand forecasting and risk assessment, while mastering strategies for sourcing, supplier management, and logistics
optimization.

Urban agriculture (UA) takes many forms: for-profit and non-profit urban farms, hydroponic and aquaponic production, indoor/vertical farming, and community gardens. It can broadly be defined as growing food in cities, but from a more critical lens it can also be considered a holistic policy strategy to improve a city’s livability through its layered benefits. On the surface, urban agriculture in its many forms serves to produce food, address food insecurity, educate communities, provide job opportunities, and secure green spaces for the health of current and future urban residents.  But at a closer glance, UA can also play a role in the larger food, economic and public health system of cities by strengthening the local foodshed, bridging the gap between the urban and rural divide, revitalizing upstate cities, acting as a third space for civic engagement, and serving as an educational hub and incubator for climate resilience and ecological farming.  This course explores the reframing of urban agriculture as a low-margin, low-output industry into a high value proposition using an expanded vision of sustainability accounting that factors the economic value of ecosystem services, such as urban heat island mitigation, carbon sequestration, pollinator habitat, and green infrastructure.  

Moment Work explores the theatrical potential of all the elements of the stage (props, sound, architecture, lights, costume, etc.) in order to create strong theatrical and dramatic narratives. In this class, students will foster an appreciation for the reexamination and exploration of theatrical form and theatrical and dramatic narratives. The semester will culminate with an in-class showcase of short, devised pieces created by the students. 

Urbanism reflects the global shift from agricultural to predominantly urban societies, in which people’s primary relationships are increasingly shaped by proximity to one another rather than proximity to land. This course examines the political and economic forces that shape cities and evaluates how urbanization affects human welfare in both the Global South and Global North. The course is designed as an intensive summer seminar meeting six times for extended sessions.