Current state and future trends in Machine Learning Systems are covered. Topics include hardware systems, software systems, and Machine Learning optimized for metrics beyond predictive accuracy.

The DI Seminar will provide a unique learning experience that combines interdisciplinary inquiry with diverse forms of scholarly engagement, opportunities to interact with distinguished guests, both academics and community leaders, from on and off-Grounds. The fall semester will be devoted to readings that explore critical, conceptual, and methodological problems on the seminar theme.

This course exposes students to how business analytics are used in various global managerial contexts. Students develop a toolkit of analytical competencies while gaining experience in solving business problems and communicating analytical findings.

The DI Seminar will provide a unique learning experience that combines interdisciplinary inquiry with diverse forms of scholarly engagement, opportunities to interact with distinguished guests, both academics and community leaders, from on and off-Grounds. In the spring, participants will undertake individual research projects that advance their particular intellectual and professional interests.

Advanced topics within Machine Learning.

Investigates a selected issue in public policy or leadership.

This graduate-level course explores the principles, methodologies, and applications of human-centered design (HCD). Students will learn how to create solutions that meet real human needs. The course combines theoretical foundations with practical application through hands-on projects where students will define problems, prototype solutions, and test with users to develop impactful, user-centered products and services.

A course devoted to the writing of prose fiction, especially the short story. Student work is discussed in class and in individual conferences. Parallel reading in the work of modern novelists and short story writers is required. For more details, visit our program website at creativewriting.virginia.edu.

In this immersive course, students will become a team of international political analysts for the semester. After selecting a specialization to pursue, students will learn how to collect and evaluate knowledge, interview experts, organize their ideas, and write and brief decisionmakers. This course will provide valuable experience for those interested in careers in international relations, foreign policy, public policy, media, or related fields.

Introduces ways that data and information have historically been constructed in different realms--from medicine to public health to computing--to shed light on the power relationships embedded in some of our present-day and near-future tools, systems, and economic relationships. Will use a historical lens, as well as methods from STS, to give an introduction to how data and power interact in people's lives.