I am a Lecturer at the College of Information Studies, University of Maryland. I teach courses on data cleaning, programming, and information systems. I believe in weaving an emphasis on ethics and social justice throughout the material to emphasize the social impacts of technology and encourage intentional, critical design.
I teach a variety of courses because of my professional experience and research interests. Here are a few that I’ve chosen to highlight.
This is a required course within the major. It has a very confusing name because it is an attempt to create a common technical foundation that students can rely on in future courses. The course explores computer hardware, software, networks, and modern information systems emerge from those components.
Statistics, analytics, and data science courses often focus on the “fun” part of analysis where we answer questions from the data. This course focuses on the preparation and exploration of data before analysis can start. It specifically prepares students to identify and address problems in the data, combine datasets to be able to answer more interesting questions, and how to document and manage these datasets so that they can be evaluated and reused for other purposes.
Information Architecture often focuses only on the user-facing aspects of information, like navigation and page structure. This course seeks to integrate IA within the entire data management process of an enterprise. It also seeks to address the challenges of cross-channel architectures and voice user interfaces.
I have tought these courses in the past, but now they are taught by my fantastic colleagues. I particular enjoy teaching the introduction to programming because there are so many opportunities for students to have “aha” moments.