teaching

Introduces applications of Informatics skills to evaluating public health. Students will learn how to leverage their programming and data competencies towards measuring and describing the health of a population. Students will learn about and compute metrics of population health, and leverage visualization to communicate statistical insights to broad audiences.

This undergraduate special topics course will cover techniques for analyzing and gaining insights from large amounts of textual data. Students will learn foundational methods for information extraction, text classification, and text visualization, with an emphasis on statistical and unsupervised approaches. Text data can be found in many high-values domains such as social media, news, science, law, and medicine, and contains rich descriptions of human activity and productivity. You will learn how to collect and represent text data, discover patterns, and extract useful evidence to support decision making and resource allocation.

This is a core undergraduate INFO course covering fundamentals in databases and data modeling. Students will learn the relational data model, the database system lifecycle, as well as author queries in SQL and understand how they are executed. In a team project, students will develop a simple database based on a specific business premise.

Biological pathway analysis plays a vital role in genomics, systems biology, and disease modeling. In this one-credit graduate seminar, students will delve into the evolving roles of pathway resources in genomic analysis and the motivation behind some of the techniques that exist today. I will also introduce some of the tools that will help you, as informaticists, select and perform analyses on available ‑omic or medical data sets.