Computer Science and Engineering students apply the engineering skills they have acquired. The principles of design, how ethics affect engineering decisions, how professionals communicate ideas and the day-to-day implications of intellectual property.
They begin by researching the problem, brainstorming a range of solutions, and traveling to the sponsor’s site to learn more about the sponsor and the project. Student teams maintain contact with their industrial and faculty mentors, hold meetings, and make presentations on their work. Computer Science and Engineering students submit written reports at intervals throughout the two-semester project timeline, and present oral presentations at the project’s conclusion.
Student Teams
GUI Development for Machine Learning-Enabled Inverse Analysis of Scattering Experiments
Cloud-based Analytics Platform Development for User Interactions Tracking
Medical Mobile App for Continuous Glucose Monitoring (CGM) System
Augmented Reality-Assisted Training Application for Energy Assessment Tools
Prediction Accuracy Enhancement for the Outage Prediction Modeling System
Building a Machine Learning Model to Interpret Virtual X-ray Diffraction Patterns
System Modelling of TAK Technology as a Proposed Wildfire Mitigation Common Operating Picture
Web-based Data Management and Analytics Toolkit for UConn Industrial Training and Assessment Center
PW Secure Embedded Architecture with Cyber Monitoring and with Actuation Control
Autonomous Undersea Vessel (AUV) to Inspect hulls of ships in the open ocean or entering ports
Robot Control through Participant Position and Posture Detection for Human Robotic Interaction
Large Language Models Training for Connecticut Education Network
Applying Differential Privacy in Sensitive Vehicle Telematics
Software-Defined Radio-based 5G NSA/SA Framework Deployment and Evaluation