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 …