| Course Contents |
| 1- Information about the structure of the brain, biological networks and nervous system
2- Artificial neural systems: Neural computation, development history of ANNs. Basic concepts and models of ANNs - 1
3- Artificial neural systems: Neural computation, development history of ANNs. Basic concepts and models of ANNs - 2
4- ANN models, neural processing.
5- Learning and adaptation, neural network learning rules - 1
6- Learning and adaptation, neuro learning rules - 2
7- Single-layer neural classifiers
8- Visa
9- Single-layer feedback networks
10- Multilayer feed-forward networks - 1
11- Multilayer feed-forward networks - 2
12- Applications of neural algorithms and systems. Implementation of neural networks - 1
13- Applications of neural algorithms and systems. Implementation of neural networks - 2
14- Matlab applications |
| Weekly Course Content |
| Week |
Subject |
Learning Activities and Teaching Methods |
| 1 |
Information about the structure of the brain, biological networks and nervous system |
|
| 2 |
Artificial neural systems: Neural computation, development history of ANNs. Basic concepts and models of ANNs - 1 |
Lecture, question-answer, discussion ( e-learning) |
| 3 |
Artificial neural systems: Neural computation, development history of ANNs. Basic concepts and models of ANNs - 2 |
Lecture, question-answer, discussion ( e-learning) |
| 4 |
ANN models, neural processing. |
Lecture, question-answer, discussion ( e-learning) |
| 5 |
Learning and adaptation, neural network learning rules - 1 |
Lecture, question-answer, discussion ( e-learning) |
| 6 |
Learning and adaptation, neuro learning rules - 2 |
Lecture, question-answer, discussion ( e-learning) |
| 7 |
Single-layer neural classifiers |
Lecture, question-answer, discussion ( e-learning) |
| 8 |
mid-term exam |
|
| 9 |
Single-layer feedback networks |
Lecture, question-answer, discussion ( e-learning) |
| 10 |
Multilayer feed-forward networks - 1 |
Lecture, question-answer, discussion ( e-learning) |
| 11 |
Multilayer feed-forward networks - 2 |
Lecture, question-answer, discussion ( e-learning) |
| 12 |
Applications of neural algorithms and systems. Implementation of neural networks - 1 |
Lecture, question-answer, discussion ( e-learning) |
| 13 |
Applications of neural algorithms and systems. Implementation of neural networks - 2 |
Lecture, question-answer, discussion ( e-learning) |
| 14 |
Matlab applications |
Lecture, question-answer, discussion ( e-learning) |
| 15 |
Matlab applications |
Lecture, question-answer, discussion ( e-learning) |
| 16 |
final exam |
|
| Recommend Course Book / Supplementary Book/Reading |
| 1 |
Prof. Dr. Çetin ELMAS, Yapay Zeka Uygulamaları, SEÇKİN YAYINCILIK |
| 2 |
S. Haykin. "Neural Networks: A Comprehensive Foundation", (2nd ed.), Prentice Hall PTR, Upper Saddle River, NJ, USA, 2008. |
| 3 |
E. Öztemel, "Yapay Sinir Ağları", Papatya Yayıncılık, 2008. |
| Required Course instruments and materials |
| Coursebook, Laptop computer |
