Yazdır

Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
NEURO COMPUTATION AND NEURAL NETWORKS BSM 507 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Dr.Öğr.Üyesi ALİ GÜLBAĞ
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
To teach the basic concepts of artificial neural networks, to introduce the aplications and hardware and to show the use fields.
Dersin İçeriği
Basic concepts of artificial neural networks, single and multi layered artificial neural network architectures, learning types and their mathematical background, radial basis networks, Kohonen network, Hopfield network, Matlab applications and practice presentations.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - To teach the basic concepts of artificial neural networks 1 - 2 - 10 - A -
2 - To show how problems can be applied to artificial neural networks 1 - 3 - 4 - A - C -
3 - To show the applicaitons tools of the subject 1 - 4 - 14 - 16 - A - C -
4 - 1 - 4 - 13 - A -
5 - 1 - 4 - 6 - A - B -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 10:Brain Storming 3:Discussion 4:Drilland Practice 14:Self Study 16:Project Based Learning 13:Lab / Workshop 6:Motivations to Show
Ölçme Yöntemleri: A:Testing C:Homework B:Oral Exam

Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to Artificial Neural Networks
2 Single-layer Networks and Computations
3 Multi-layer Networks and Computations
4 Learning types, Supervised and Unsupervised Learning
5 Back Propagation Algorithm for Feed-Forward Neural Networks
6 Analysis of Back Propagation Algorithm and Exercises
7 Memorization and Generalization Concepts
8 Radial Based Networks
9 Kohonen Network
10 Hopfield Network
11 LVQ Networks
12 Neural Network Developing Tools of Matlab
13 Practice Presentations
14 Practice Presentations

Kaynaklar

Ders Notu
Ders Kaynakları

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 gain high level ability to define the required information and data X
7 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
10 aware of new and developing application of profession and ability to analyze and study on those applications X
11 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
12 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
13 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
14 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
15 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
16 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
17 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process
18 gain high level ability to define the required information and data X
19 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
20 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
21 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement
22 aware of new and developing application of profession and ability to analyze and study on those applications
23 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 90
SozluSinav 1 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

; ;