ARTIFICIAL INTELLIGENCE PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
BGT211	ARTIFICIAL INTELLIGENCE	3	3	2	5

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	ASSOCIATE DEGREE, TYY: + 5.Level, EQF-LLL: 5.Level, QF-EHEA: Short Cycle
Type of the Course :	Elective
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Lecturer SENA NUR BENLİ
Instructor(s) of the Course Unit	Lecturer ALİ ÇETİNKAYA
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The aim of this course is to enable students to understand the concept of artificial intelligence, to analyze the characteristics of the problems that may arise on this subject, to learn and apply appropriate solution techniques for them.
Contents of the Course Unit:	Introduction to Artificial Intelligence: Definition of Artificial Intelligence, its basic concepts, its history, application areas and the Turing Test. Breadth-first, Uniform-cost, Depth-first, Depth-limited, Iterative deepening, Bi-directional, Knowledgeable (Heuristic) Search Algorithms: Best-first Greedy, A* , Genetic Algorithms, Games: Game theory, minimax algorithm, alpha-beta pruning, Fuzzy Logic, Introduction to Prolog Programming Language, Prolog Programming Language Lists, Expert Systems, Natural Language Processing, Neural Networks, Robotics

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
To understand and describe the concept of artificial intelligence and its algorithms.
To determine the appropriate artificial intelligence algorithms to solve a specific problem.
Applying basic artificial intelligence algorithms.
Understanding and writing the Prolog programming language, one of the artificial intelligence programming languages

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Introduction to Artificial Intelligence	Expression
2	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Smart Factors	Expression
3	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Ignorant Search Algorithms	Expression
4	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Informed Search Algorithms	Expression
5	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Genetic Algorithms	Expression
6	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Games	Expression
7	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Fuzzy Logic	Expression
8	-	MID-TERM EXAM	-
9	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Logical Programming: The Prolog Programming Language	Expression
10	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Logical Programming: The Prolog Programming Language	Expression, demonstration
11	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Expert Systems	Expression, demonstration
12	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Natural Language Processing	Expression
13	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Machine Learning	Expression
14	Reading from source books on the relevant subject, scanning resources on the internet, watching videos, observing and researching.	Robotics	Expression
15	Practical work	Student project presentations	Presentation
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Stuart Russell and Peter Norvig, Artifcial Intelligence: A Modern Approach, Third Edition, Prentice Hall, 2010, ISBN: 978-0-13-604259-4.
Clocksin, William, and Mellish Christopher. Programming in prologue. Springer Science, 2003, ISBN 978-3-642-55481-0.
Nabiyev, Vasif Vagifoglu. Artificial intelligence: human-computer interaction, 5th Edition, Seçkin Publishing, 2016, ISBN 978-975-02-3727-0.
Internet

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Required in the field of computer and information knows the term.				3
2	The basic vocational English terms on the computer knows.					4
3	Knowledge about the concept of information security.						5

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Concepts in the field of computer learning skills necessary to win.						5

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Know the functions of basic electrical and electronic components.						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The ability to use different operating systems.					4
2	Self-installation performs the required software.				3

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Find simple software and hardware failures and fixes.			2
2	Digital information on a regular basis to maintain existing backup function performs.		1

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Independently in their field, learn and apply that learning.				3

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Human relations and communications know about and apply to be done.					4

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Self desired operating system builds and manages.					4

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	14	3	42
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	2	4	8
Project Work	1	24	24
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	1	10	10
Final Exam	1	1	1
Preparation for the Final Exam	0	0	0
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	0	0	0
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	34	0	128