Undergraduate
Faculty of Economic and Administrative Sciences
Economics
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Course CodeSemester 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.
Prerequisite(s)
Corequisite(s)
Special Requisite(s)
Instructor(s)
Course Assistant(s)
Schedule
Office Hour(s)
Teaching Methods and Techniques
Principle Sources
Other Sources
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 Week Assessment
9. Week Midterm Exam Week Assessment
10. Week The Role of Artificial Intelligence in Social Sciences Lecture / Discussion / Case Study
11. Week The Contribution of Social Sciences to Artificial Intelligence Lecture / Discussion / Case Study
12. Week Artificial Intelligence and Application Examples Lecture / Discussion / Case Study
13. Week Artificial Intelligence Applications and Innovation Lecture / Discussion / Case Study
14. Week Programs Used in Artificial Intelligence Applications Lecture / Discussion / Case Study
15. Week Final Exam Week Assessment
16. Week Final Exam Week Assessment
17. Week Final Exam Week Assessment
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 30
Homework / Term Projects / Presentations 1 10
Final Exam 1 60


Program Outcomes
PO-1To define his/her competencies using the theoretical and practical knowledge he/she acquired in the field of Economics and to use these competencies in practice.
PO-2To discuss concepts and ideas in the field of Economics with scientific methods, to develop hypotheses, to interpret and evaluate the data obtained.
PO-3To develop solution suggestions for complex and/or unpredictable problems encountered in practice, to report and present these suggestions in accordance with the academic publication rules.
PO-4To identify regional and global issues/problems, to perform analyses based on scientific data and research, and to develop solution suggestions.
PO-5To determine the learning needs in the field of Economics, to evaluate the acquired knowledge and skills with a critical approach, and to use this knowledge and skills to develop economic policies.
PO-6To inform relevant people and institutions on issues related to the field of Economics and to gain the ability to convey written and verbal solutions to problems.
PO-7To convey his/her thoughts and suggestions in the field of Economics to experts and non-experts by supporting them with quantitative and qualitative data, to discuss and to contribute to the development of new policies by revising suggestions according to the feedback he/she receives.
PO-8To benefit from other disciplines that form the basis of the field of Economics, to develop multidisciplinary approaches by associating these disciplines with his/her knowledge in the field of Economics, to produce project and publications.
PO-9To define the differences and relationships between classical and modern theories of economics and to observe the distinctions between classical and modern economic policies and to evaluate the compatibility of these policies with economic and social issues.
PO-10To read and comprehend foreing news sources about economics being fluent in a foreign language, to scan the economic literature and to follow the most current approaches in this field.
PO-11To take into account scientific and ethical values in the stages of collecting, interpreting and announcing economic data and carrying out statistical/econometric studies using these data, and also to carry out the publication process in accordance with academic publishing principles.
Learning Outcomes
LO-1To define Artificial Intelligence and to express the historical past and today's usage process.
LO-2To describe the usage areas of Artificial Intelligence in different disciplines.
LO-3To explain Artificial Intelligence exercises applied in social sciences.
LO-4To comment on the analysis logic of Artificial Intelligence.
LO-5To have an idea about the programming languages ​​required for Artificial Intelligence.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6
LO 7
LO 8
LO 9
LO 10
LO 11
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LO 15
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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
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LO 33
LO 34
LO 35
LO 36
LO 37
LO 38
LO 39
LO 40
LO 41
LO 42
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LO 44
LO 45
LO 46
LO 47
LO 48
LO 49
LO 50
LO 51
LO 52
LO 53
LO 54
LO 55