Apr 20, 2024  
2022-2023 Undergraduate Catalog 
    
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CpE 477 - Embedded Security and Machine Learning



Design of hardware and software for embedded systems focused on security and machine learning. Introduction to embedded security, Cryptography, current embedded security features, and security in practice. Introduction to TinyML, quantization techniques, optimization of TinyML, and online- offline-training. Project-based, requiring the design/construction of an embedded system. 

Credits: 3
Prerequisites: Minimum grade of C in CpE 301 .  Advanced Standing in Computer Engineering or Electrical Engineering required.