PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
YBS 423	ARTIFICIAL INTELLIGENCE	3 + 0	2nd Semester	4

COURSE DESCRIPTION

Course Level	Associate's Degree
Course Type	Elective
Course Objective	This course aims to give students an introduction to the field of Artificial Intelligence, covering the basic techniques and mechanisms for AI programming. The students completing this subject will have understanding of the historical and conceptual development of AI, the goals of AI and the methods employed to achieve them, the social and economic roles of AI and also have the skills to analyze problems and determine where AI techniques are applicable, implement AI problem-solving techniques.
Course Content	Introduction to artificial intelligence, Natural and Artificial Intelligence, Turing Test, Searching Methods, Planning, Heuristic Problem Solving, Knowledge representation, Predicate Logic, AI programming languages, Programming in Common Lisp, Game Theory, Genetic Algorithms, Expert Systems, Artificial Intelligence Applications.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.

COURSE LEARNING OUTCOMES

1	Learning artificial intelligence concepts
2	Understanding the application areas
3	Enhancing the subject by studying on a sample project

COURSE'S CONTRIBUTION TO PROGRAM

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	2	28
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Assignments	14	1	14
Mid-terms	1	8	8
Final examination	1	12	12
Reading	14	1	14
Total Work Load ECTS Credit of the Course			104 4

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2025-2026 Spring	1	ATİKE NUR DURAK

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester	Mode of Delivery
YBS 423	ARTIFICIAL INTELLIGENCE	3 + 0	1	Turkish	2025-2026 Spring	Face to Face

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Lecturer ATİKE NUR DURAK	adurak@pau.edu.tr		ACMYO A0005	%60

Goals		This course aims to give students an introduction to the field of Artificial Intelligence, covering the basic techniques and mechanisms for AI programming. The students completing this subject will have understanding of the historical and conceptual development of AI, the goals of AI and the methods employed to achieve them, the social and economic roles of AI and also have the skills to analyze problems and determine where AI techniques are applicable, implement AI problem-solving techniques.
Content		Introduction to artificial intelligence, Natural and Artificial Intelligence, Turing Test, Searching Methods, Planning, Heuristic Problem Solving, Knowledge representation, Predicate Logic, AI programming languages, Programming in Common Lisp, Game Theory, Genetic Algorithms, Expert Systems, Artificial Intelligence Applications.

Topics

Weeks	Topics
1	Introduction to Artificial Intelligence: Definition, historical development, and examples from daily life
2	Types of Artificial Intelligence: Narrow AI, General AI, and Generative AI
3	Working Principles of Artificial Intelligence: Basic concepts of data, algorithms, and learning
4	Artificial Intelligence Applications in Daily Life: Smart assistants, recommendation systems, and similar technologies
5	Introduction to Generative AI Tools: Text generation and conversational systems
6	Applications of Artificial Intelligence in Document, Report, and Content Creation
7	Using Artificial Intelligence in Data Analysis and Basic Automation
8	Visual Generation and Design Applications with Artificial Intelligence
9	AI-Supported Tools for Presentations, Tables, and Data Organization
10	Artificial Intelligence Applications for Professional Fields: Office work, marketing, education, manufacturing, and related areas
11	Artificial Intelligence Applications for Professional Fields: Office work, marketing, education, manufacturing, and related areas
12	Ethics, Copyright, and Data Security in Artificial Intelligence Usage
13	Student Practices: Developing mini-projects using artificial intelligence
14	Project Presentations and General Evaluation

Materials

Materials are not specified.

Resources

Resources	Resources Language
Özker, U. 2025. Üretken Yapay Zekâ Devrimi, Scala Yayıncılık	Türkçe
Say, C. 2018. 50 Soruda Yapay Zekâ, Bilim ve Gelecek Kitaplığı	Türkçe

Course Assessment

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student