|
Dec 21, 2024
|
|
|
|
2022-2023 Undergraduate Catalog ARCHIVED CATALOG: CONTENT MAY NOT BE CURRENT. USE THE DROP DOWN ABOVE TO ACCESS THE CURRENT CATALOG.
|
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.
|
|