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.

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 in the field of public policy and leadership.

Independent study in special field under the direction of a faculty member in Portuguese.

Research for a thesis of approximately 50 written pages undertaken in the fall semester of the fourth year by archaeology majors who have been accepted into the Interdisciplinary Archaeology Distinguished Majors Program. Prerequisite: acceptance into Archaeology DMP

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

This course introduces students to a variety of disciplinary approaches to the study of Europe (history, anthropology, sociology, political science, economics, and culture). Stress will be laid on how combining perspectives from different fields of study can help deepen understanding of specific problems of European life. Emphasis on student interpretation of readings and analysis of central issues in Europe's development across time.

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.

Train your own LLM for a custom task. Learn about the LLM lifecycle from architecture, to pre-training, to supervised finetuning, to deployment, to model editing/updating, including discussing LLM limitations. End up with your own trained LLM, a HuggingFace model card you can show off in technical interviews, and a plan for how to stay up to date with this fast-moving field.