Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
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Course Goals	The aim of this course is to provide students with an introduction to the subject of artificial intelligence, including the basic techniques and mechanisms of artificial intelligence. It is aimed that the students who complete this course will understand the historical and conceptual development of artificial intelligence, the aims of artificial intelligence and the methods it uses to achieve these goals, the social and economic role of artificial intelligence, and determine where artificial intelligence techniques can be used by analyzing the problems and using artificial intelligence techniques.
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Special Requisite(s)
Instructor(s)
Course Assistant(s)
Schedule
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Teaching Methods and Techniques
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Course Schedules
Week	Contents	Learning Methods
1. Week	What is Artificial Intelligence (AI) ?	Lecture / Discussion
2. Week	The Difference Between Natural Intelligence and Artıficial Intelligence: The Human Brain	Lecture / Discussion
3. Week	The History of AI - I	Lecture / Discussion
4. Week	The History of AI - II	Lecture / Discussion
5. Week	Applications of Artificial Intelligence in Different Disciplines	Lecture / Discussion
6. Week	The First Examples of Artificial Intelligence	Lecture / Discussion / Case Study
7. Week	Artificial Intelligence and E-Commerce Applications	Lecture / Discussion
8. Week	MIDTERM	EXAM
9. Week	The Role of Artificial Intelligence in Social Sciences	Lecture / Discussion / Case Study
10. Week	The Contribution of Social Sciences to Artificial Intelligence	Lecture / Discussion / Case Study
11. Week	Artificial Intelligence and Application Examples	Lecture / Discussion / Case Study
12. Week	Artificial Intelligence Applications and Innovation	Lecture / Discussion / Case Study
13. Week	Programs Used in Artificial Intelligence Applications	Lecture / Discussion / Case Study
14. Week	FINAL EXAM	EXAM
15. Week
16. Week
17. Week

Assessments
Evaluation tools	Quantity	Weight(%)
Midterm(s)	1	30
Homework / Term Projects / Presentations	1	10
Final Exam	1	60

Program Outcomes PO-1 Define the concept and types of entrepreneurship in historical development within the framework of entrepreneurship theory. PO-2 Develop awareness about ways to improve personal and corporate innovation and creativity PO-3 Distinguish the different aspects of SME management and its problems from SME management and its problems PO-4 Design a business plan to start a new business PO-5 Assess the institutionalization process of newly established businesses PO-6 Employ the information and skill that is related to entrepreneurship in the career life and apply it to the workplace environment. PO-7 Explain new business in social environment with social capital and communication competence PO-8 Interpret knowledge of innovation and the importance of innovation that learned during education life with up-to-date information and adopt it to business life PO-9 Identify how to reach entrepreneurship supports thanks to the basic and up-to-date information gained on entrepreneurship and estimates about the change and paradigm shifts in the entrepreneurship ecosystem. PO-10 Compose the conceptual and cognitive knowledge with expert knowledge required by business life

Learning Outcomes LO-1 Students will be able to define Artificial Intelligence, express the historical past and today's usage process. LO-2 Students will be able to describe the usage areas of Artificial Intelligence in different disciplines. LO-3 Students will be able to explain Artificial Intelligence Applications Applied in Social Sciences. LO-4 Students will be able to comment on the analysis logic of Artificial Intelligence. LO-5 Students will be able to have an idea about the programming languages ​​required for Artificial Intelligence.

Course Assessment Matrix:

LO 1
LO 2
LO 3
LO 4
LO 5
LO 6
LO 7
LO 8
LO 9
LO 10
LO 11
LO 12
LO 13
LO 14
LO 15
LO 16
LO 17
LO 18
LO 19
LO 20
LO 21
LO 22
LO 23
LO 24
LO 25
LO 26
LO 27
LO 28
LO 29
LO 30
LO 31
LO 32
LO 33
LO 34
LO 35
LO 36
LO 37
LO 38
LO 39
LO 40
LO 41
LO 42
LO 43
LO 44
LO 45
LO 46
LO 47
LO 48
LO 49
LO 50