Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
ARTIFICIAL INTELLIGENCE ENM 417 7 3 + 0 3 5
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü SECMELI Dersin Koordinatörü Doç.Dr. SAFİYE SENCER Dersi Verenler Dersin Yardımcıları Dersin Kategorisi Dersin Amacı Describing general structure of artificial intelligence and artificial intelligence’s algorithms, to teach artificial intelligence’s applications Dersin İçeriği Basic concepts (search, problem solving, knowledge representation methods, planning, natural language processing), artificial neural networks, expert systems, genetic algorithms, fuzzy logic.
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Understanding general structure of artificial intelligence 1 - 2 - 3 - 12 - A - F - 2 - Understanding artificial neural networks 1 - 2 - 3 - 4 - 6 - 12 - 15 - A - C - F - 3 - Understanding expert systems 1 - 2 - 3 - 4 - 6 - 12 - 15 - A - C - F - 4 - Understanding genetic algorithms 1 - 2 - 3 - 4 - 6 - 12 - 15 - A - C - F - 5 - Understanding fuzzy logic 1 - 2 - 3 - 4 - 6 - 12 - 15 - A - C - F -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion 12:Case Study 4:Drilland Practice 6:Motivations to Show 15:Problem Solving Ölçme Yöntemleri: A:Testing F:Performance Task C:Homework

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 Entrance to artificial intelligence
2 Problem solving, natural language processing
3 Knowledge representation methods
4 Planning, search, vision, robotic, agent
5 Entrance to artificial neural networks
6 Artificial neural networks (Backpropagation)
7 Artificial neural networks (LVQ network)
8 Entrance to expert systems
9 Expert systems
10 Sample of expert system
11 Entrance to genetic algorithms
12 Sample of genetic algorithms
13 Entrance to fuzzy logic
14 Sample of fuzzy logic

Ders Notu
Ders Kaynakları

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language X
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology X
9 Engineering graduates with well-structured responsibilities in profession and ethics X
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. X
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. X

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
KisaSinav 1 20
Odev 1 20
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 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 12 12
Assignment 1 10 10
Performance Task (Laboratory) 1 14 14
Toplam İş Yükü 116
Toplam İş Yükü /25(s) 4.64
Dersin AKTS Kredisi 4.64
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