This course provides an opportunity for graduate students in the humanities and social sciences to reflect upon and plan for post-graduation career opportunities both in the academe and in other areas.

Course provides foundat'l understanding of orgs&processes in US statecraft, directly from current practitioners across govt. Students explore how elements of nat'l power are brought to bear to further US interests & strategy. Students explore Dept of Defense, Dept of State, the Intelligence Community, US Agency for Internat'l Development, & the Nat'l Security Council & policymaking processes. Lectures, guest-speakers, & research projects aid in learning org.structure, cultures&practices.

This course examines the art and science of negotiation. The science of negotiation involves learning to recognize the structure of a conflict situation and knowing what techniques tend to be most effective given that structure. Because there is no substitute for negotiating experience, this class will rely heavily on role-playing exercises and analyses designed to help students develop their own styles and learning the art of negotiation.

This course provides an introduction to financial techniques that are essential for leadership dealing with any type of organizational finances. It provides an analytical treatment to valuations based on principles and theories of modern finance. Topics include discounted cash flow; interest rate; capital budgeting; valuation of stocks and bonds; investment decisions under uncertainty; capital asset pricing; option pricing; market efficiency.

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.