This course introduces students to key business topics relevant to high technology companies. Students will learn how to understand and interpret financial statements and frame financial decisions, including building a business case. The course will explore typical organizational structures and the roles of business functions. Students will be introduced to business models and other concepts in marketing and business strategy.

This course exposes students to foundational knowledge in each of the four high level domain areas of data science (Value, Design, Analytics, Systems). This includes an emphasis on ethical issues surrounding the field of data science and how these issues originate and extend into society more broadly.

Each student or small group will develop a project, be matched with a Global Studies faculty mentor, identify relevant community groups, and spend the semester working on that project. Students will discuss ideas, formulate plans, identify tactics, and engage with important social justice literatures. Importantly, the course will engage with the project of activism itself, which has the potential to replicate systems of inequality.

This course covers fundamentals of data mining and machine learning within a common statistical framework. Topics include regression, classification, clustering, resampling, regularization, tree-based methods, ensembles, boosting, and Support Vector Machines. Coursework is conducted in the R programming language.

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

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.

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.

This course examines leading schools of thought in Global Studies from a critical perspective. Students will engage with foundational political, social, and cultural concepts that underpin contemporary economic, cultural, and political institutions of power. The course brings together material from anthropology, political theory, and cultural studies.

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.

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.