Students who took an introduction to computer science class at another institution or believe that they have sufficient knowledge to test out of CS 150 are welcome to take a departmental exam. The exam requires knowledge of Python and a variety of topics including but not limited to control flow, basic data structures, classes, functions, and recursion. Part of the exam requires writing software to satisfy a specified behavior. Students who wish to take the exam should contact the department coordinator to schedule a time. Students who took the AP Computer Science A test do not need to take this exam nor do students who took an equivalent, in-person class at another institution. Equivalency is determined by the department chair.
If you are a first-year student, and intend to major in computer science, write to krothert@richmond.edu to request addition to the list serv.
Student researchers Padmaja Karki ’26 and Weiheng Yang presented their project, "Automatic ADHD Screening Using Smartphone Sensing Activity Data," to the General Assembly at Capitol Square on February 6. Their presentation was part of the Network for Undergraduate Research in Virginia (NURVa) showcase—an initiative that brings together colleges and universities across the state to promote undergraduate research and creative endeavors.
Pictured from left to right: Dr. Laura E. Knouse (research collaborator), Dr. Shweta Ware (faculty mentor), Padmaja Karki, Weiheng Yang, and Dr. Kelling Donald.
The line from the human to the machine is often not visible. The energy and movement that drives communication does not start as a tangible connection but rather as an intangible force, an impulse, a spark of intention. It travels through pathways, transmitting signals and commands that shape our interactions with technology. This unseen thread weaves a tapestry of non-verbal understanding, where the boundaries between human and machine blur, creating a dance of shared purpose. In Interconnected, we explore this connection, unveiling the complexity and beauty of human-robot communication and the binds to the machines we create. ~Dr. Patrick Martin
Shweta Ware, assistant professor of computer science, and Laura Knouse, professor of psychology, along with Kritim Rijal, ‘25 published "SmartADHDMonitor: A Novel Approach to Automatic ADHD Monitoring Through Smartphone App Usage Data" in the proceedings of the 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). Ware presented the paper at the conference.
Yucong Jiang, assistant professor of computer science, published “Performance Precision: a Software Prototype for Computer-assisted Annotation and Analysis of Music Performance” in the proceedings of the International Computer Music Conference (ICMC). Jiang presented the paper at the conference which had the theme Curiosity, Play, Innovation – A 50th Anniversary Celebration of Creativity in Music, Science and Technology.
Yucong Jiang, assistant professor of computer science, published “Piano Precision: Advancing Music Performance Analysis by Integrating User-correctable Audio-to-score Alignment” in the proceedings of Sound and Music Computing (SMC).
Patrick Martin, assistant professor of computer science, presented “On the Design and Implementation of a Live Human-Robot Coding Platform for Contemporary Dance Performances” at the International Conference on Live Coding.
Richmond has once again been named to The Princeton Review’s list of “Best Value Colleges” for 2025. Richmond has been included on this list since 2013.
Mailing address:
Department of Computer Science
212 Jepson Hall
221 Richmond Way
University of Richmond, VA 23173
Phone: (804) 289-8077
Fax: (804) 287-6444
Chair, Department of Computer Science: Dr. Doug Szajda
Academic Administrative coordinator: Kathy Rothert