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Class Options and Expectations
Classroom Etiquette & Expectations
- Arrive at your scheduled classroom five minutes early. You may have to wait in the hallway until the previous class has dismissed.
- Find an empty desk toward the back of the classroom. Classes at William & Mary do not have assigned seating; you may select any open desk. Feel free to talk to the students around you about their major, involvements, and experiences.
- Prior to your professor's arrival, please silence your cell phone and other electronic devices.
- Following class, introduce yourself to your professor and thank them for allowing you to visit. The professor may want to know a little more about you, your background and what you hope to study at William & Mary.
- If your class is unexpectedly canceled, visit the department secretary's office. They may be able to help you find another class session to visit.
- Class visits are open to registered students only. Due to limited capacity, guests are not able to accompany students to classes.
Class Options
AMST 290: Robots, Cyborgs, and Humans
This course explores robots as a cultural phenomenon and technological innovation, examining how they shape (and are shaped) by human imagination, industry, and society. Drawing on posthumanism, science fiction literature, film, philosophy, and critical theory we will think of how robots are part of our fantasies and fears. How, for instance, are robots present in our ideas of fantasy, labor, companionship, and our visions of better or worse futures?
DATA 202: AI & Data Ethics
This course provides an introduction to critical, ethical, and moral issues surrounding data, AI, and society. It blends social and historical perspectives on data and algorithmic systems with ethics, policy, and case examples—from text analytics and generative models to autonomous decision-making and self-driving cars—to help students develop a workable understanding of current ethical and moral issues in data science and artificial intelligence. The course examines the ethics and morality of studying human subjects, documenting workflows, designing and deploying AI systems, and communicating results. Students debate issues surrounding privacy, surveillance, discrimination, transparency, responsibility, and trust throughout the intertwined data and AI lifecycle—from collection and creation to model training and evaluation to storage, analysis, application, and the sharing of data and model outputs.
ECON 150: Sports & Economics
This is a seminar course whose topic is the intersection of Sports and Economics. The topic for the course is to examine sports, or what many believe about sports, under the economist's microscope. As a Freshman Seminar course, the course is designed to give students a chance to explore an academic area of interest through intensive reading, writing and discussion.
An analysis of the politics and economics of a selected international policy problem or issue, e.g., international trade and protectionism; the domestic management of inflation and unemployment; the relation between economic organization and political power.