ECE3610

This course introduces the foundations of robotics—sensing, actuation, and artificial intelligence—as the building blocks of modern robotic systems. Students learn transduction principles for sensors and actuators, circuits, and interfacing with microcontrollers. The course covers digital signal processing methods such as intelligent thresholding, sensor fusion, and feedback control strategies like PID, bridging raw signals to intelligent, AI-driven behavior. Building on this, students explore data-driven AI and machine learning, including linear discriminant analysis, multilayer perceptrons, and convolutional neural networks. Each class integrates hardware and software practice, culminating in a team-based robotics and AI competition as the final exam. Example modules include building a musical instrument, gesture-controlled devices, and racing self-driving robots through an obstacle course.

Prerequisites: "C+" or better in ((ECE 1050 AND ECE 1240 AND ECE 1245) OR (ECE 1230 and ECE 1235)) AND NOT on ECE Monitoring Group

Spring

Instructional Materials & Services