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> EECE.5862
Course No: EECE.5862; Last Offered: Summer 2026;
Course Description
This course explores the integration of artificial intelligence (AI) and machine learning (ML) algorithms into embedded systems. Students will learn both the theoretical foundations of AI models and the practical challenges of deploying them on resource-constrained hardware platforms. Topics include ML and deep learning fundamentals, embedded hardware and software architectures, optimization techniques for computation, memory and energy efficacy, and real-world embedded AI application examples in computer vision, robotics, and IoT. Through homework, hands-on labs and a project, students will design, implement, and evaluate embedded AI systems using state-of-the-art development platforms.
Prerequisites & Notes
- Prerequisites:
- Special Notes:
- Credits: 3; Contact Hours: 3
Questions About This Course?
Contact the Advising Center at 978-934-2474 or
Continuing_Education@uml.edu
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