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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
ARTIFICAL INTELLIGENCE BSM 310 6 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü ZORUNLU
Dersin Koordinatörü Prof.Dr. CEMİL ÖZ
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
The aim of this course is to give basic introduction to Artificial intelligent. In this course we will study artificial intelligent algorithms. Students will also learn how to solve their problems using artificial intelligent algorithms.
Dersin İçeriği
Learn the basic AI techniques, the problems for which they are applicable and their limitations. Topics covered include search (solving puzzles, playing games), planning, logical inference (drawing conclusions from data), expert systems, natural language processing and machine learning
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Understand basic concepts and techniques of Artificial intelligence 1 - 14 - A -
2 - Understand AI by doing it, i.e. developing machine and programs acting like human and animals. 1 - 4 - 14 - A -
3 - Comprehend common methods of AI and how to use them. 1 - 4 - 12 - 14 - A - C -
4 - Comprehend how to solve engineering problems with artificial intelligent algorithms 1 - 8 - 9 - 16 - B - C - D -
Öğretim Yöntemleri: 1:Lecture 14:Self Study 4:Drilland Practice 12:Case Study 8:Group Study 9:Simulation 16:Project Based Learning
Ölçme Yöntemleri: A:Testing C:Homework B:Oral Exam D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
11 Intelligent agent
12 Genetic algorithm
13 Artificial intelligent applications
14 Student presentations
1 Introduction to Artificial Intelligent
2 Search algorithms
3 Search algorithms
4 Heuristic search algorithms
5 Heuristic search algorithms
6 Heuristic search algorithms and using them in game programming
7 Expert system
8 Expert system
9 Artificial neural networks
10 Artificial neural networks

Kaynaklar

Ders Notu Artifical Intelligence Lecture Notes
Ders Kaynakları 1.Stuart Russell, Peter Norvig; Artificial Intelligence A Modern Approach, Prentice-Hall, Inc., 1995.
2.Ivan Bratko, Prolog programming for Artificial Intelligence, Addison Wesley Publisher limited, 2001.

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
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, X
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, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
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

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
KisaSinav 1 7
Odev 1 7
PerformansGoreviSeminer 1 10
KisaSinav 2 8
Odev 2 8
Toplam 100
Yıliçinin Başarıya Oranı 55
Finalin Başarıya Oranı 45
Toplam 100

AKTS - İş Yükü

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