Specialized or advanced topics not in DS current course offerings. Requires (a) approval of the program director and (b) an SDS faculty member who will serve as instructor.  Propose a syllabus which includes a week-by-week accounting of the topics, materials (papers and textbooks), and assessments.  Reach out to the program director for more details.

The DH Certificate Practicum provides principles for working with humanities materials as data, while maintaining a commitment to humanistic inquiry. Students will learn to integrate digital humanities methods into coursework and research required in their home departments. This course provides students with a broad understanding of basic technologies and approaches used by digital humanists and introduces data standards and data modeling

Course shapes public leaders to recognize & respond to competing value propositions & implement value objectives in specific public context. Course goes beyond concrete incentive systems & aims to shape decisions, behavior, & expectations through social norms & organizational culture. Leaders in the public arena must appreciate competing value propositions & articulate & advocate for principles & standards of behavior.

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.

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.

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.