YAPAY ZEKAYA GİRİŞ PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
MKT226	YAPAY ZEKAYA GİRİŞ	4	3	2	4

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 :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Lecturer KÜBRA ERDOĞAN
Instructor(s) of the Course Unit	Lecturer KÜBRA ERDOĞAN
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:
Contents of the Course Unit:

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Resource scanning, internet research related to the subject.	Definition, types, comparison of Natural and Artificial Intelligence.	Lecture, discussion, question-answer based on theory.
2	Resource scanning, internet research related to the subject.	Expert Systems	Lecture, discussion, question-answer based on theory.
3	Resource scanning, internet research related to the subject.	Fuzzy logic and Fuzzy controllers	Lecture, discussion, question-answer based on theory.
4	Resource scanning, internet research related to the subject.	Artificial neural networks	Lecture, discussion, question-answer based on theory.
5	Resource scanning, internet research related to the subject.	Memory types used in Artificial Neural Networks	Lecture, discussion, question-answer based on theory.
6	Resource scanning, internet research related to the subject.	Back propagation algorithm and calculation of error in neural networks	Lecture, discussion, question-answer based on theory.
7	Resource scanning, internet research related to the subject.	Calculation of weights in neural networks and general review before the exam	Lecture, discussion, question-answer based on theory.
8	-	MID-TERM EXAM	-
9	Resource scanning, internet research related to the subject.	Self-organizing maps - SOM	Lecture, discussion, question-answer based on theory.
10	Resource scanning, internet research related to the subject.	Genetic Algorithms	Lecture, discussion, question-answer based on theory.
11	Resource scanning, internet research related to the subject.	Genetic Algorithms	Lecture, discussion, question-answer based on theory.
12	Resource scanning, internet research related to the subject.	Genetic Algorithms	Lecture, discussion, question-answer based on theory.
13	Resource scanning, internet research related to the subject.	Convolutional Neural Networks - CNN	Lecture, discussion, question-answer based on theory.
14	Resource scanning, internet research related to the subject.	Convolutional Neural Networks - CNN	Lecture, discussion, question-answer based on theory.
15	Resource scanning, internet research related to the subject.	Pre-Final General Practice	Lecture, discussion, question-answer based on theory.
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Dr. Öğr. Üyesi Atınç Yılmaz, Yapay Zeka, Kodlab yayıncılık, 2020
Neha Gupta, Institute of Engineerinf and Technology,DAVV,Indore
Kumar R.,Kumar M., «Exploring Genetic Algorithm for Shortest Path,» Global Journal of Computer Science and Technology, 2010.

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	Able to adopt math and science knowledge to the problems of including Mechatronics Program.				3

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Can use the scientific methods to solve problems of including Mechatronics Program.					4
2	Able to plan experiment, build hardware, collect data using modern devices and analyze data.				3

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Can define, scientize and solve the actual Mechatronics problems.				3

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Use modern tools such as softwares in Mechatronics Systems, design and analysis						5

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Prone to work in interdisciplinary teams.						5

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Able to find solutions that meet technical and economical expectations when designing a system with components.					4
2	Can approach with a global perspective to solve included Mechatronics Program problems.						5
3	Able to keep up to date of self-awarness in the field.						5
4	Can follow academic and industrial developments related Mechatronics Program.						5

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Able to work in the field, interdisciplinary and multidisciplinary environments.					4
2	Have written and verbal communication skills in Turkish and English.				3

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Have professional and ethical values and sensitive to these.						5
2	Sensitive to health and safety issues in Mechatronics fields.					4
3	Sensitive to social, environmental and economic factors in occupational activities.					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	0	0	0
Preliminary & Further Study	0	0	0
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
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	0	0	0
Final Exam	0	0	0
Preparation for the Final Exam	0	0	0
Mid-Term Exam	0	0	0
Preparation for the Mid-Term Exam	0	0	0
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	0	0	0