Students will learn theoretical and practical foundations of computational methods for analysis of experimental data from various biological data types. Course will cover algorithms, statistical and computational methods, and application areas in computational biology, and will include both classical methods as well as recent advances. Prior coursework/experience in linear algebra, UNIX, and R & Python programming required.

Networks provide a unifying framework to study the structure hidden within complex data. This graduate-level course focuses on the fundamental concepts and statistics as well as recent advancements and applications of network science. Topics include: graph theory, structural paradoxes, measures and algorithms for quantifying importance, community detection, network inference, recommendation systems, and link prediction.

This course provides the opportunity to offer a new topic in the subject area of academic, professional, and creative writing. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.

This course introduces students to the underlying histories and theoretical dimensions of urban design as a creative spatial practice. By exploring a wide range of urban interventions at multiple scales, the course contextualizes contemporary design practice within the social, environmental, and political forces acting on the urban environment.

Student will work on a supervised independent research project related to the their area of study or expertise with a member of the PHS faculty.

Independent study conducted by the student under the supervision of an instructor of choice.

Engages students in identification of a research question, a review of the literature and the application of an existing data science tool or technique (algorithm) to that problem. This is a mentored experience and will allow the student to demonstrate their capacity for research and begin to develop a relationship with a faculty mentor in Data Science. Course requires instructor permission.

For master's thesis, taken under the supervision of a thesis director. Students work closely with a primary and a secondary Faculty Advisor, representing two distinct disciplinary approaches, to develop a detailed proposal for their M.A. thesis. Students will work closely with their Faculty Advisor(s) in person, or by e-mail and video-conferencing (e.g., Skype). The proposal must be submitted and approved by the beginning of the final semester.

Non-topical research hours taken as part of the Master of Fine Arts degree in Creative Writing. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.

Composition and defense of a master's thesis. Students will work under the direction of their primary faculty adviser to complete the writing their M.A. thesis. To be taken in the final semester of enrollment in the European Studies MA program. Prerequisite: graduate standing and instructor permission.