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

This course looks into the past, present, and future of technologies that impact labor, with an eye to empowering students with knowledge about the social, economic, and political dimensions of the tools they use both inside and outside of work. The course covers labor history, whistleblowers, and hidden histories of common technologies that reorient common assumptions about what technologies can do, and what they have done in the past.

Principles of interactivity in application and dashboard development using R, Python, and JavaScript programming languages. Design visually appealing and user-friendly interfaces, develop interactive applications for data visualization, and build dynamic dashboards for effective data communication with end-users. Covers theoretical concepts and hands-on implementation to provide a comprehensive understanding of the full design process at the graduate level.

This course will equip students with some of the most commonly used deep learning architectures. We will explore feed-forward networks, convolutional neural networks, UNETs, encoders-decoders, generative adversarial networks and transformers. We will also analyze tools of explainable AI. Focused on environmental applications, students will apply these techniques to real-world data, solving problems in prediction, pattern recognition, and data-driven insights. Solid background in probability, statistics, and in coding (preferably Python) is recommended for enrollment in this course.

Focuses on principles & theories of law related to healthcare delivery, management & administration. Examines the application of laws on healthcare liability prevention & the risks managers face. Explores legal & ethical issues in healthcare systems; and investigates the healthcare administrator as decision-maker, leader and moral agent. Evaluates situations with potential ethical/legal implications.

An intensive overview of cloud infrastructure and their role in data science. Topics will include storage as a service, ephemeral computing resources, auto-scaling, and event-driven workloads. Special attention will be paid to cloud-native design patterns, which are built assuming the unique functionality of cloud computing resources.