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3.91
Spring 2026
Students will develop a detailed understanding of the legal aspects of public employment law, and the short and long-term impact of recruiting and retaining talented employees. Emphasis will be placed on the means by which evidence-based strategies may be applied to determine the appropriate number of resources to deploy to normal and complex operations. Prereq: Admission to MPS Degree Program
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3.92
Spring 2026
A graduate-level course on deep learning fundamentals and applications with emphasis on their broad applicability to problems across a range of disciplines. Topics include regularization, optimization, convolutional networks, sequence modeling, generative learning, instance-based learning, and deep reinforcement learning. Students will complete several substantive programming assignments. A course covering statistical techniques such as regression.
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3.92
Fall 2025
The current state of US police-community relations is in a precarious condition. Recent incidents of negative police-citizen encounters resulting in deaths of unarmed citizens & police officers has affected public trust & confidence in local law enforcement. Class focuses on problems of police-community relations & deliberates prospects for policy solutions. Students develop & present policy proposals to address a particular problem.
2.13
2.30
3.92
Spring 2026
This course will center on exposing students to contemporary pipelines for data analysis through a series of steadily escalating use cases. The course will begin with simple local database construction such as SQLite and evolve to cloud base systems such as AWS or Google Cloud. This progression will include topics such as data lakes and other non-SQL applications as appropriate.
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3.92
Spring 2026
In this experiential, workshop-based course, students will develop leadership skills in translating ideas into action, using UVA's Grounds as a living lab for sustainability - the campus as a sustainability classroom. Students will gain insight into a process in which individuals can catalyze change to solve global problems and advance strategic goals on a local level though a place-based, project-based, and human-centered approach.
1.00
2.00
3.92
Spring 2026
Students will learn the fundamentals of product management. Topics include identifying unmet needs, understanding markets, implementing product development frameworks and processes, building businesses, and working with multi-functional teams. The application of these concepts to different phases of the product lifecycle will be explored. Students will build technical, professional, and soft skills necessary for success in product management. Prerequisite: EBUS 1800 and enrolled in the Engineering Business Minor or Entrepreneurship Minor - Tech Concentration and 3rd or 4th year standing
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3.92
Fall 2025
Devoted to the writing of prose fiction, especially the short story. Student work is discussed in class and individual conferences. Parallel reading in the work of modern novelists and short story writers is required. For advanced students with prior experience in writing fiction. May be repeated with different instructor. For instructions on how to apply to this class, see creativewriting.virginia.edu/ugrad.
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3.92
Spring 2026
One of two required readings courses for students admitted to the Area Program in Literary Prose, also open to other qualified students. For instructions on how to apply to this class, see creativewriting.virginia.edu/ugrad.
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3.93
Fall 2025
What does it mean to prioritize equity in policy? Equity must be operationalized & incorporated into all policy stages: agenda setting, design, implementation, & evaluation. Consider frameworks & tools for centering equity in policy design: engage disadvantaged communities; evaluate degree current policies promote equity, examine policy histories & differential impacts; surface apparent tradeoffs in elevating equity over other analytic concerns.
5.00
3.00
3.93
Spring 2026
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.
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