Covers foundations and applications of NLP with a focus on the most popular form of unstructured data - text. Convert source texts into structure-preserving analytical form and then apply information …
Provides healthcare domain knowledge, healthcare data understanding, and data science methodologies to solve problems. Understand data types, models, and sources, including electronic health record data; health outcomes, quality, risk, and …
Provides a foundation in discrete mathematics, data structures, algorithmic design and implementation, computational complexity, parallel computing, and data integrity and consistency. Case studies and exercises will be drawn from real-world …
Provides an in-depth exploration of probabilistic and statistical methods used to understand, quantify, and manage uncertainty. Learn foundational concepts in probability and statistics, simulation techniques, and modern approaches to parameter …
Genomics Foundations introduces core concepts in modern genomics and human genetics underlying computational biology and public health genomics. The course integrates key biological principles with quantitative reasoning and hands-on use …
Trends in hardware and software for Big Data Systems and applications. Cover principles driving data infrastructures, which enabled the training of AI models on datasets (speech, sounds, images, video, languages) …
This course examines environmental policy using economic analysis. The first half introduces core environmental economics concepts, including microeconomic review, market failures, and cost-benefit tools for evaluating policy and pollution levels, …
This course focuses on making students more effective at identifying and designing AI use cases to create novel AI-powered products and services. Students will work with a variety of AI …
Research origins of gun violence in American society, in conjunction with engaging with various stakeholders to propose sensible solutions to this problem. Assigned to Baltimore, Richmond, or Washington, DC & …
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 …
Applied Policy Clinics Topics Course
This course provides the opportunity to offer new topics in Creative Writing and is open to both undergraduate and graduate students.
Investigates a selected issue in public policy or leadership.
Caring well for an aging population is among the greatest challenges facing both the United States and the world. Significant gaps persist between the health and social systems that older …
This course is an introduction to clinical ethics, which concerns the identification, analysis, and resolution of ethical problems arising in patient care. The course deals with two tiers of ethical …
Independent research for undergraduate students enrolled in the BA/BS/MPH 5 year program or other programs that may be related to Public Health or Ethics.
This course explores the premodern through a multidisciplinary and global lens. A series of UVA faculty team-taught modules will treat such topics as travel and trade, the invention of race, …
Covers the practice of data science, including communication, exploratory data analysis, and visualization. Also covered are the selection of algorithms to suit the problem to be solved, user needs, and …
Leadership and Public Policy foundational skills course.
This course examines the ethical issues arising around big data and provides frameworks, context, concepts, and theories to help students think through and deal with the issues as they encounter …