PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
CENG 417	ARTIFICIAL INTELLIGENCE	3 + 0	3rd Semester	5

COURSE DESCRIPTION

Course Level	Associate's Degree
Course Type	Elective
Course Objective	This subject 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.
Mode of Delivery	Face to Face

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

Data not found.

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	4	56
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Assignments	2	9	18
Mid-terms	1	6	6
Final examination	1	8	8
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	1	HAMİD YEŞİLYAYLA

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
CENG 417	ARTIFICIAL INTELLIGENCE	3 + 0	1	Turkish	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Lecturer HAMİD YEŞİLYAYLA	hyesilyayla@pau.edu.tr		ÇMYO A0008	%

Goals		This subject 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	Basic approaches in optimization
2	Genetic Algorithms
3	Genetic Programming
4	Evolutionary Strategies
5	Binary Genetic Algorithm
6	Continues Genetic Algorithm
7	Genetic Coding
8	Genetic Cross Over and Mutation
9	Genetic producing and selection
10	Genetic advanced operators
11	Hybrid Genetic Algorithms
12	Parallel Genetic Algorithms
13	Application of Genetic Algorithm
14	Current research topics

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

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

Prospective Student