Course Information

Course Name	Turkish	Yapay Sinir Ağları
	English	Artificial Neural Networks
Course Code	EHB 420E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	1	3	2	1	-
Course Language		English
Course Coordinator		İsa Yıldırım Saeed Seyyedı
Course Objectives		To provide a basic understanding of artificial neural networks and how they are applied to the real world engineering problems.
Course Description		To provide a basic understanding of artificial neural networks and how they are applied to the real world engineering problems.
Course Outcomes		Understand the fundamentals of artificial neural networks (ANNs) Gain some mathematical understanding of neural network models Gain abilities to select suitable neural network models Learn how to use ANNs for problems of classification and regression Evaluate the performance of a neural network and tune the neural network to get the best performance Having ability to apply the concepts of ANNs to real-world engineering problems
Pre-requisite(s)		Having basics of matrix algebra, and calculus
Required Facilities
Other
Textbook
Other References		Haykin, Simon.Neural Networks and Learning Machines., Pearson Higher Education, 2009 Simon Haykin, Neural Networks: A Comprehensive Foundation, 2nd Ed., Prentice Hall, 1999 Kishan Mehrotra, Sanjay Ranka, Chilukuri K. Mohan, Elements of Artificial Neural Networks, MIT Press 1996