CPE 4903:Neural Networks and Machine Learning

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: CSE 1311, MATH 2202 and Engineering Standing
This course introduces the student to the principles and theories associated with neural networks. Several neural networking-related architectures, algorithms, and training techniques associated with real-world applications (e.g. detection & tracking systems, traffic patterns, classification schemes) are discussed. Also, several in-class examples are given and a term project is assigned to aid the student in a practical understanding of the theory covered-Class examples and the project are conducted using OOP and the MATLAB Neural Network Toolbox. Additionally, a survey of various AI hardware implementations will be conducted to further enhance the student’s knowledge.