Faculty : Faculty of Engineering and Applied Sciences
School :
Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate
Course Description :
This course gives an overview of many models and algorithms used in modern machine learning, including linear and non-linear models, multi-layer neural networks, support vector machines, deep belief networks, density estimation methods, Bayesian belief networks, graphical models, mixture models, clustering, ensemble methods, and reinforcement learning.
MTH601 - Advanced Mathematics and Statistics II
Faculty : Faculty of Engineering and Applied Sciences
School :
Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate
Course Description :
Selected topics in mathematics and statistics and/or probability theory as per the requirements of each graduate school.
IEM505 - Global IE 1
Faculty : Faculty of Engineering and Applied Sciences
School :
Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate
Course Description :
No Courses Description
IEM523. - Systems Engineering and Analysis
Faculty : Faculty of Engineering and Applied Sciences
School :
Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate
Course Description :
No Courses Description
ECE551 - Introduction Embedded Systems
Faculty : Faculty of Engineering and Applied Sciences
