Courses

In this course we will explore what is both fearful and alluring about catastrophe on an unimaginable scale, as we read and view some paradigmatic apocalyptic works across a wide historical range.

This course is an introduction to the study of poetry, providing both the technical knowledge and tools useful for appreciating poetry, as well as an overview of the history of world poetry. We will read and discuss some of the finest and most memorable poems ever written. Fulfills the non-Western requirement.

We will start this course by looking at sociologist Georg Simmel's "The Metropolis and Mental Life."  Then we will explore how writers and filmmakers have tried to capture this experience of city life in different genres. Fulfills an Elective requirement.

The Ramayana in Indian History course fulfills the Non-Western Elective requirement.

This course will offer an in-depth introduction to Chinese cinema from the 1930s to the present. Fulfills the non-Western requirement.

This course provides the conceptual and technical knowledge necessary to conceptualize complex dynamic policy problems, formulate appropriate simulation models, and use models for policy analysis.

The Writer's Studio Monthly Writing Group is designed for students working in creative nonfiction or fiction. Focused on monthly workshops, the group also provides writers a sense of community as well as an outlet for discussion of both practice and form.

Exposure to basic statistical concepts that are necessary for students to understand the content presented in more advanced courses...

This course covers the analytics research process from the translation of business problems into researchable questions that can be addressed by using analytics...

Students learn how to work effectively in teams to identify, structure, and communicate the business value of data analytics to an organization.

This course covers important issues in applied time series analysis...

This course provides a comprehensive and practical introduction to statistical data analysis.

This course will introduce students to the common algorithms: association and sequence rules discovery, memory-based reasoning, clustering, classification and regression decision trees, logistic models, and neural network models.

This course in advanced data mining will provide a practical, hands-on set of lectures surrounding modern predictive analytics and machine learning algorithms and techniques.

This course concentrates on the following topics: Review of statistical inference based on linear model, extension to the linear model by removing the assumption of Gaussian distribution for the output (Generalized Linear Model), extension to the linear model by allowing a correlation structure for the model residuals (mixed effect models), and

This course provides students with a thorough understanding of the fundamentals of data engineering platforms, for both operational and analytical use cases, while gaining expertise in building these platforms in a way to develop analytical solutions effectively.

This course teaches students how to approach Big Data and large-scale machine learning applications.

Review of financial markets and assets traded on them; main characteristics of financial analytics; concept of arbitrage; principles of volatility analyses; correlation, cointegration and other relationships between various financial assets; market risk analytics and management of portfolios of financial assets.

This course focuses on marketing analytics methods and applications that are used to develop marketing strategies, and create a link between marketing, customer behavior and business outcome.

MSCA 32004 Credit and Insurance Risk Analytics