Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
ARTIFICIAL INTELLIGENCE APPLICATIONS IN MECHATRONIC ENGINEERING MEK 523 0 3 + 0 3 6
 Dersin Dili Türkçe Dersin Seviyesi Yüksek Lisans Dersin Türü SECMELI Dersin Koordinatörü Prof.Dr. RAŞİT KÖKER Dersi Verenler Dersin Yardımcıları Dersin Kategorisi Alanına Uygun Öğretim Dersin Amacı Students learn the basic principles of artificial intelligence and their applications to engineering problems as well as their in depth analyzes. Students learn the basic principles of fuzzy logical, experts systems and ANN in addition to their applications engineering. Dersin İçeriği Definition of artificial intelligence, The basic concepts and techniques, Expert Systems and engineering applications, Fuzzy logic and engineering applications, Genetic algorithms and application examples, Artificial neural networks: structure and basic elements of artificial neural networks, Engineering applications of artificial neural networks, Hybrid techniques (fuzzy-neural, fuzzy-genetic, etc.)
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Definitions of artificial intelligence, basic concepts and techniques 1 - 2 - 14 - A - C - 2 - Experts systems ? application to mechatronics engineering 1 - 2 - 14 - A - C - 3 - Solutions to engineering problems using ANN 1 - 2 - 14 - A - C - F - 4 - Mechatronics engineering Applications by fuzzy logic 1 - 2 - 14 - A - C - F - 5 - Engineering applications by genetic algorithms 1 - 2 - 14 - A - C - F -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 14:Self Study Ölçme Yöntemleri: A:Testing C:Homework F:Performance Task

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 İntroduction to Artificial intelligence technology
2 Expert Systems and engineering applications
3 Artificial Neural Networks: structure and basic elements of artificial neural networks
4 Multilayer Perceptrons - Backpropagation
5 Engineering applications of artificial neural networks
6 Engineering applications of artificial neural networks
7 Fuzzy Logic:The basic concepts
8 Features of Fuzzy logic
9 Fuzzy Logic and engineering applications
10 Basic theorem of genetic algorithm
11 Genetic algorithms and application examples
12 Midterm Exam
13 Presentations of student projects
14 Presentations of student projects

#### Kaynaklar

Ders Notu
Ders Kaynakları 1. Yapay Zeka, Vasif Nabiyev, Seçkin Yayınevi, 2010.
2. Mühendislikte yapay zeka uygulamaları, Ş.Sağıroğlu, E.Beşdok, M.Erler, Ufuk Yayınevi, 2003.
3. Neural Network Design, M. Hagan, 2002
4. .Fuzzy Logic and control, M. Jamshidi, Prentice Hall, 1993.

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 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
2 Develop new strategic approach and produce solutions by taking responsibility in unexpected and complicated situations in mechatronic engineering X
3 Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement X
4 Develop and use data processing and communication technologies together with the machine, electronic and computer software-hardware knowledge required by the field of mechatronic engineering expertise
5 Ability to complete and implement &quot;limited or incomplete data&quot; by using the scientific methods. X
6 Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
7 Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process
8 Ability to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
9 Gain high level ability to define the required information and data X
10 Aware of new and developing application of profession and ability to analyze and study on those applications
11 Ability to interpret engineering applications social and environmental dimensions and it´s compliance with the social environment
12 At least be capable of oral and written communication in a foreign language
13 Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
14 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
15 Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 55
Odev 1 30
PerformansGoreviUygulama 1 15
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
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 4 64
Mid-terms 1 6 6
Assignment 1 10 10
Performance Task (Application) 1 10 10
Final examination 1 8 8
Toplam İş Yükü 146
Toplam İş Yükü /25(s) 5.84
Dersin AKTS Kredisi 5.84
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