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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
ARTIFICIAL INTELLIGENCE AND APPLICATIONS SWE 308 6 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü ZORUNLU
Dersin Koordinatörü Doç.Dr. DEVRİM AKGÜN
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi Alanına Uygun Öğretim
Dersin Amacı

The objective of the course is to present an overview of artificial intelligence (AI) principles and approaches. Develop a basic understanding of the building blocks of AI as presented in terms of intelligent agents: Search, Knowledge representation, inference, logic, and learning.

Dersin İçeriği

Introduction to LISP. Intelligent agents. Searching as a problem-solving technique. Knowledge-based agents and logical problem solving. First-order logic as a basis for building intelligent agents capable of acting and reacting in a complex environment. Semantic Networks, Frames, and Description Logics.  Introduction to knowledge graphs and the Semantic Web.  Knowledge engineering. Uncertainty representation and management. Learning agents

Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - 1 - 2 - 4 - A - C - D -
2 - 1 - 2 - 4 - A - C - D -
3 - 1 - 2 - 4 - A - C - D -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice
Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to Artificial Intelligence Weekly presentations
2 Introduction to LISP: basic LISP primitives, procedure definition and binding, predicates and conditionals, procedure and data abstraction, mapping. Weekly presentations
3 Intelligent agents: a discussion on what Artificial Intelligence is about and different types of AI agents. Weekly presentations
4 Searching as a problem-solving technique: a review of "conventional" searching methods including breadth-first, depth-first, bi-directional and best-first search. Weekly presentations
5 Heuristic functions and their effect on performance of search algorithms. Introduction to genetic algorithms. Weekly presentations
6 Knowledge-based agents and logical problem solving Weekly presentations
7 introduction to knowledge representation and propositional logic. Weekly presentations
8 First-order logic as a basis for building intelligent agents capable of acting and reacting in a complex environment Weekly presentations
9 First-order logic as a basis for building intelligent agents capable of acting and reacting in a complex environment Weekly presentations
10 Semantic Networks, Frames, and Description Logics. Weekly presentations
11 Semantic Networks, Frames, and Description Logics. Weekly presentations
12 Knowledge engineering: building knowledge bases and automated theorem provers. Weekly presentations
13 Uncertainty representation and management Weekly presentations
14 Learning agents: learning from observations and examples. Decision trees and the ID3 algorithm. Weekly presentations

Kaynaklar

Ders Notu

Stuard Russell and Peter Norvig, Artificial Intelligence.  A Modern Approach, 3-rd edition, Prentice Hall, Inc., 2010

Ders Kaynakları

Stuard Russell and Peter Norvig, Artificial Intelligence.  A Modern Approach, 3-rd edition, Prentice Hall, Inc., 2010


Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 70
Odev 1 10
KisaSinav 1 10
ProjeTasarim 1 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

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