Introduces physics-aware deep learning (PADL), an emerging approach that embeds physical laws into neural networks for accurate, efficient modeling. Topics include differential equations, physics-informed neural networks, neural operators, and PyTorch implementation. Students gain both theoretical foundations and practical skills to apply PADL across disciplines.

Provides an exploration of foundational concepts in modern time series modeling and analysis. The course covers both classical statistical and signal processing methods and contemporary deep learning models.

A colloquium on computational biology methods and results. Each week, students will attend a seminar, and read and discuss a computational biology paper, focusing on computational approaches and biological conclusions. Papers will be drawn from recent and seminal publications in computational biology.

A colloquium on computational biology methods and results. Each week, students will attend a seminar, and read and discuss a computational biology paper, focusing on computational approaches and biological conclusions. Papers will be drawn from recent and seminal publications in computational biology.

A colloquium on computational biology methods and results. Each week, students will attend a seminar, and read and discuss a computational biology paper, focusing on computational approaches and biological conclusions. Papers will be drawn from recent and seminal publications in computational biology.

The DH Certificate Practicum provides principles for working with humanities materials as data, while maintaining a commitment to humanistic inquiry. Students will learn to integrate digital humanities methods into coursework and research required in their home departments. This course provides students with a broad understanding of basic technologies and approaches used by digital humanists and introduces data standards and data modeling

This course provides an opportunity for graduate students in the humanities and social sciences to reflect upon and plan for post-graduation career opportunities both in the academe and in other areas.

In this course, you acquire skills in analytics project scoping, planning, risk analysis and management, resource allocation and budgeting, monitoring, and real options thinking. You will use state-of-the-art software such as Microsoft Project and Jira to plan and execute large-scale projects. You will also consider the challenge of managing projects and develop an awareness of behavioral decision-making biases in project management.

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.