Summer 2026
> Engineering/Engineering Technology
> EECE.5862
> 081
Course No: EECE.5862-081; SIS Class Nbr: 3226; SIS Term: 3540
Course Status: Open
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 & Instructor
- Prerequisites: EECE.3630 Introduction to Probability and Random Process, and EECE.3170 Microprocessors System Design I, or Permission of Instructor.
- Credits: 3; Contact Hours: 3
- Instructor: Yan Luo
-
UMass Lowell Bookstore
When Offered & Tuition
- Online Course
- 2026 Summer: May 18 to Jul 12
- Course Level: Graduate
-
Tuition: $1875 | Pay as little as $955/mo for this course.
Learn more about course payment plans. »
- Note: There is a $30 per semester registration fee for credit courses.
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