Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Artıfıcıal Intellıgence Basıcs SWE 308 6 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili İngilizce
Dersin Seviyesi Lisans
Dersin Türü Zorunlu
Dersin Koordinatörü Dr.Öğr.Üyesi GÖZDE YOLCU ÖZTEL
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi Diğer
Dersin Amacı

To provide the ability to solve artificial intelligence problems by teaching artificial intelligence techniques.

Dersin İçeriği
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
Hafta Ders Konuları Ön Hazırlık
1 Introduction to artificial intelligence
2 Heuristic problem solving
3 artificial intelligence in games
4 training methods
5 artificial neural networks
6 convolutional neural networks
7 recursive neural networks
8 deep belief networks
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10
11
12
13
14
Kaynaklar
Ders Notu
Ders Kaynakları

Stuart Russell, Peter Norvig; Artificial Intelligence A Modern Approach, 2009

Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions. X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations. X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently. X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods.
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research. X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies.
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility.
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language. X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology. X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society. X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications. X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 60
1. Ödev 20
1. Kısa Sınav 10
2. Kısa Sınav 10
2. Ara Sınav 0
Toplam 100
1. Final 50
1. Yıl İçinin Başarıya 50
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)