ASE 660

AI Hardware Design Fundamentals

Syracuse University · UGRD · Fall 2026

1 section

Catalog description

Computational and hardware foundations of ML; complexity and performance analysis of ML models; modern computer architectures; FPGA-based acceleration; model optimization techniques and their impacts. Additional work required for graduate students.

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Class #syracuse-ASE660Fall 2026UGRD3 credits

Days & times: No scheduled meeting time
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Instructor: Staff

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