Stony Brook University Stony Brook University 3 courses
Electrical and Computer Engineering Department, College of Engineering and Applied Sciences Certificate Awarded: Graduate Certificate in Engineering Machine Learning Systems Chairperson: Pamela Abshire, Light Engineering Building, Room 273 (631) 632-8408 Graduate Program Director: Fan Ye, Light Engineering Building 143 (631) 632-9376 Department Manager: Chantalle McKim, Light Engineering Building 273 (631) 632-8420 Graduate Program Coordinator: Ashley Cimato, Light Engineering Building 267A (631) 632-8401 Department Coordinator: Adam Ortiz, Light Engineering Building 267 (631) 631-8415 Department Website Admission to the certificate programs is limited to students enrolled in either the MS or PhD programs in the Department of Electrical & Computer Engineering. Matriculated students only. The Engineering Machine Learning Systems certificate program educates about the mathematical theory, fundamental algorithms, and optimized engineering of computational learning systems used in real-world, big data applications. Students will also study modern technologies used in devising such data systems, including software tools, architectures, and related hardware structures. Comprehensive, hands-on student projects on designing, implementing, and testing real-world learning systems are part of the certificate program. The certificate program includes a total of four courses: three required courses and one elective course. To receive the Stony Brook certificate in the Engineering...
Foundations (1 required)
| Code | Course Title | Credits |
|---|---|---|
| ESE 503 | Stochastic Systems | 3 |
Fundamental Methods (2 required)
| Code | Course Title | Credits |
|---|---|---|
| ESE 588 | Fundamentals of Machine Learning | 3 |
| ESE 589 | Learning Systems for Engineering Applications | 3 |
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