Akademik Dersler - Tanıtım


Code - Course Title	İST413 - Introduction to Artificial Neural Networks
Course Type	Area Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	5.0
Course Instructor(s)	DOÇENT DOKTOR ÖZER ÖZDEMİR
Mode of Delivery	The mode of delivery of this course is Face to face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Required or Recommended Resources	Neural Networks for Pattern Recognition, C. M. Bishop, Oxford University Press, 1995.
Recommended Reading List	Yapay Sinir Ağları, E. Öztemel, Papatya yayıncılık, 2012.
Assessment methods and criteria	Writen exam
Work Placement	N/A
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction to Artificial Neural Networks
Week - 2	Biological Neural Networks
Week - 3	Activation Functions
Week - 4	Architectures of Artificial Neural Network
Week - 5	Mc Culloch-Pitts Neurons
Week - 6	Algorithms of Simple Artificial Neural Networks for Pattern Classification
Week - 7	Linear Separability
Week - 8	Hebb Learning Algorithm
Week - 9	Perceptron
Week - 10	Architecture and Learning Algorithm of Perceptron
Week - 11	Single layer Artificial Neural Networks
Week - 12	Multilayer Feed Forward Neural Networks
Week - 13	Backpropagation Algorithms
Week - 14	Various Architectures of Artificial Neural Network

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
2.Midterm Exam	1	30
Homework	1	20
Final Exam	1	50
Toplam (%)		100