Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
FUZZY LOGIC EBO 434 8 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü SECMELI
Dersin Koordinatörü
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Providing students with the basics of fuzzy logic, neural Networks and applications.
Dersin İçeriği
Fuzzy sets. Membership functions. Fuzzy operations. T-norm, N- norm operator. Fuzzy Rules Fuzzification, defuzzification. Fuzzy inferrence. Mamdani fuzzy inference. Mamdani fuzzy inference applications. Sugenoi fuzzy inference and applications. Matlab fuzzy applications. The structure of the brain. Artificial Neuron. Perceptron. Multilayer neural networks. Learning. Back propagation algorithm. Momentum coefficient. Matlab neural network applications
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Understanding basic knowledge about fuzzy logic 1 - A -
2 - Understanding basic knowledge about neural Networks 1 - 2 - B -
3 - Understanding using the fuzzy logic and ANN for encountered problems 1 - 2 - 4 - A -
4 - Comprehending common fuzzy inference methods 1 - 2 - 4 - A - B -
5 - Comprehending sample fuzzy logic and ANN tools 1 - 2 - 4 - A - B -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice
Ölçme Yöntemleri: B:Oral Exam A:Testing

Ders Akışı

Hafta Konular ÖnHazırlık
1 Fuzzy sets. Membership functions
2 Fuzzy operations. T-norm, N- norm operator
3 Fuzzy Rules Fuzzification, defuzzification. Fuzzy inferrence
4 Mamdani fuzzy inference
5 Mamdani fuzzy inference applications
6 Sugenoi fuzzy inference and applications
7 Matlab fuzzy applications
8 The structure of the brain. Artificial Neuron
9 Perceptron
10 Multilayer neural networks
11 Learning
12 Back propagation algorithm
13 Momentum coefficient
14 Matlab neural network applications


Ders Notu
Ders Kaynakları

Döküman Paylaşımı

Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 To have latest knowledge and skills intended for research and practice in electronic technology X
2 To utilize equipments and instruments used in electronic technology X
3 To develop curriculum related to electronic technology and have a skill to transfer those accumulation by oral and written way X
4 To have knowledge and skills for planning, designing and managing procedures independently or in cooperation X
5 To have an open mind to ethic auditing and positive criticism, and have a constructive and interpreting attitude against scientific and social problems X
6 To disseminate and realize the environmental awareness
7 To cooperate with social organizations and the society
8 To contribute to the education of people who work under his/her responsibility and to manage some activities for their vocational careers and social rights
9 To appropriate self learning and life- long learning principles
10 To congregate in national or international scale to see individual applications on the premises and to perform some activities and mobility for professional advancement in electronic technology

Değerlendirme Sistemi

AraSinav 1 60
KisaSinav 1 5
Odev 1 15
KisaSinav 2 5
Odev 2 15
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 8 8
Assignment 2 10 20
Performance Task (Laboratory) 1 15 15
Toplam İş Yükü 123
Toplam İş Yükü /25(s) 4.92
Dersin AKTS Kredisi 4.92
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