Investigates a selected issue in public policy or leadership.

For students advanced beyond the level of ENCW 2600. Involves workshop of student work, craft discussions, and relevant reading. May be repeated with different instructor. For instructions on how to apply to this class or more details, please visit our program website at creativewriting.virginia.edu/ugrad.

This class examines how citizens, leaders, interest groups and activists work to reshape our understanding of problems over time and investigates why some problems gain policy attention while others languish. The class emphasizes the complexity of understanding, designing, and implementing large scale policies that attempt to address problems that are ultimately experienced by people in specific contexts and communities.

This course will provide an overview of research methods and data analysis in public policy, integrating basic statistical modeling. The class will promote a critical understanding of what good research is, how people sometimes lie with statistics, and how flawed research can be identified, and an appreciation of the relationship between researchers and the rest of society, and how researchers can most suitably deal with the existence of skeptics

This course is focused on an exploration of "self" in relationship to the complexities and structures of the professional organizations in which students work as interns. The course combines organizational behavior concepts and content that emphasizes self and exploration.

The course is focused on an exploring the dynamics of teams and leadership within the complexities and structures of the organizations in which students work in professional practice internships. The course combines organizational behavior with concepts of teams and organizations.

Students apply academic experiences in professional and/or research settings; reflect and critically and constructively analyze experiences from multiple perspectives; and view the work as connecting course content authentic contexts. Students work as professionals with site supervisors and instructors to complete related assignments and relevant background research on the professional and academic resources available.

An Independent Study in Archaeology. Subject to be determined by student and instructor.

The data science project course will allow students to take the knowledge gained in each of the four required courses and apply them to a data driven problem. Students will work in groups and can either choose a project provided by SDS faculty or can propose a project for approval. Upon completion of the course students will be required to present their results and publish project content to an open forum.

Critique models and adapt them to a variety of data sets. Gain a deeper understanding of core ML concepts. Build towards neural networks (latent index models, more complex linear models with non-linear transformations of the data). Compare new methods to kNN, clustering, linear models from ML1 to discuss performance differences as complex and predictive power increases. How mathematical concepts are present in the models presented.