Prepares students to apply economic analysis to public policy problems. Topics include externalities, industry regulation, and policy problems of allocating resources over time. Examples will show a broad range of substantive applications to domestic and international policymaking.

Builds on the methods and concepts introduced into Research Methods and Data Analysis I to prepare students to gather, analyze, criticize, and interpret complex data in public policy settings. Tools stressed may include multiple regression and experimentation.

This experiential course pairs students from the Schools of Law, Engineering, and Public Policy with U.S. Department of Defense (DoD) problem sponsors to address real-world national security challenges. Through student research, stakeholder interviews, and engagements with outside experts, each team develops policy recommendations for its sponsor's organization. Recent sponsors include the National Security Agency, U.S. Strategic Command, and the U.S. Air Force's Office of Operational Energy.

Learning tools and concepts for computing on big data. Learn how to use Spark for large-scale analytics and machine learning. Spark is an open-source, general-purpose computing framework that is scalable and blazingly fast. Fundamental data types and concepts will be covered (e.g., resilient distributed datasets, DataFrames) along with Tools for data processing, storage, and retrieval, including Amazon Web Services (AWS).

This course introduces advanced analytical multivariate techniques used in marketing to understand customer and employee attitudes and behavior from data to gain market intelligence plus target and segment customers and employees that maximizes important marketing metrics. Topics include advanced regression techniques, logistic regression, path analysis, cluster and discriminant analysis, and experimental design. You will use SPSS and R.

You will learn some of the world's most powerful predictive models. We cover a variety of machine learning algorithms and survival models. We have a hands-on approach, working on real case studies to deepen our understanding of how machine learning solves business problems. You will be exposed to Python and learn to write Python code. In teams, you will compete with peers to develop the best predictive models using machine learning algorithms.

Covers end-to-end processes relating to the capture, organization, use, and protection of data for analytical purposes. You will learn how to build an optimized relational database and use SQL to extract data to support an organization's analytics strategy and provide important managerial insights from raw data. Extraction, transformation, load (ETL) and data privacy/security will also be discussed in the context of modern organizations.

Prototyping and Product Development is an action-oriented and project-based course. You and your team will identify a problem, develop multiple prototypes that address the problem, and test prototypes through iterative experimentation. Class sessions will be a mix of hands-on exercises, selected readings, and guest speakers. The majority of class time will be devoted to project work to help teams complete their prototypes.

We cover natural language processing, deep learning, and artificial intelligence to apply them to text and image data. You will learn algorithms that are the backbone of technologies used by Google and Tesla. You will also learn about Transformers, a revolutionizing concept that has caused a paradigm shift in artificial intelligence. In teams, you will compete with peers to develop the best predictive models to process and analyze text data.

This course will introduce the latest practices and technologies for managing big data. It will first compare and contrast big data to relational data in both operational and analytical data systems. It will then explore modern technologies (e.g., Spark and NoSQL), cloud computing (e.g., AWS), and reference architectures for retrieving, storing, integrating and analyzing big data. Finally, it will demonstrate big-data-enabled AI applications.