This course is the required Capstone Seminar in the Global Environments and Sustainability track of Global Studies

Students will produce a report providing an analysis of the problem, the policy options available, and their action recommendations. Students will improve their ability to work in teams and hone their written and oral presentation skills.

Reading and research under the direction of a faculty member. Students must obtain approval from a faculty advisor to approve and direct the independent study. Final approval by the Director of Undergraduate Programs is also required.

For the student who wants to work on a creative writing project under the direction of a faculty member. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses. Prerequisite: Instructor permission.

This course is designed to allow Global Studies-Security and Justice majors to pursue independent study of relevant topics that go beyond the program's core, track and/or elective curricula.

This course is an independent study to be arranged by student in consultation with faculty.

Independent study to be arranged by student in consultation with professor.

Writing of a thesis of approximately 50 written pages undertaken in the spring semester of the fourth year by archaeology majors who have been accepted into the Interdisciplinary Archaeology Distinguished Majors Program.Prerequisite: acceptence into DMP program

Covers foundations and applications of NLP with a focus on the most popular form of unstructured data ¿ text. Convert source texts into structure-preserving analytical form and then apply information theory, NLP tools, and vector-based methods to explore language models, topic models, sentiment analyses, and GenAI techniques. Focus is on unsupervised methods to explore cognitive patterns in texts, with real-world examples and demonstrations.

Provides healthcare domain knowledge, healthcare data understanding, and data science methodologies to solve problems. Understand data types, models, and sources, including electronic health record data; health outcomes, quality, risk, and safety data; and unstructured data, such as clinical text data; biomedical sensor data; and biomedical image data. Querying with SQL, data visualization with Tableau, and analysis and prediction with Python.