About AI at Skidmore
At Skidmore College, we have been teaching courses and supervising student projects in AI since 2002. In the past decade, opportunities to study AI at Skidmore have expanded rapidly.
In particular, the Computer Science Department offers several courses that provide the technical and mathematical skills necessary to understand and develop intelligent systems. These courses cover classical AI techniques; the mathematical foundations of machine learning; reinforcement learning; deep learning, including large language models; and AI applications, including robotics, computer vision, and financial trading.
We are fortunate to have a Mathematics and Statistics Department that offers a robust set of courses in applied mathematics and statistics that are especially relevant to the study of artificial intelligence. In addition, the Physics Department offers a course on robotics, the Philosophy Department offers courses on the philosophy and ethics of AI, the Psychology Department offers courses on cognitive science and cognitive psychology, and we have a strong Neuroscience Department.
Together, these course offerings allow students to develop a deep background in artificial intelligence and its supporting disciplines. There are also opportunities for students to participate in ongoing AI research with faculty in multiple departments, which further prepares our graduates to create and control the future of AI. Indeed, our alumni have established impressive careers working in the development and application of artificial intelligence.
Disclaimer: This site was created and is maintained by Tom O'Connell to make people aware of the curricular and research opportunities in AI at Skidmore. This is not an official Skidmore College website -- it would look much cooler if it were.
