Why are some countries poor and how can growth be increased? How do we ensure basic services for the poorest? This course examines capacity, demand, and influence in development, covering poverty, inequality, and growth. Topics include land, labor, credit, human capital, environment, urbanization, risk, decentralization, and corruption. Students test theories of effectiveness, design anti-poverty programs, and write policy memos.

Graduate-level poetry writing workshop for advanced writing students. A weekly 2.5 hour workshop discussion of student poems. For more details, visit our program website at creativewriting.virginia.edu.

International relations studies often overlook underlying geographic, economic, & intern¿l order dimensions that varyingly benefit some states & disadvantage others. How does access to open seas or having a veto at the UN benefit a country? How does being landlocked or lacking natural resources disadvantage a country? Course highlights underlying dimensions shaping how a country perceives its interests & what it emphasizes in foreign policy.

Covers advanced theoretical concepts for deep neural networks. Topics include convolutional neural networks and their design principles, encoder-decoder architectures, recurrent neural networks, transformers, bounding box detection, image segmentation, generative adversarial networks, diffusion models, etc. Using open-source Python libraries such as NumPy, TensorFlow, and Keras, to understand how theoretical concepts are implemented.

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.