Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
5İKT334Economics of Artificial Intelligence2+0+02318.08.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Economics
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to enable students to understand the fundamentals of artificial intelligence, its economic theories, and its effects in practice.
Course Content Artificial Intelligence, Artificial Intelligence and Economic Theories, Programs Used in Artificial Intelligence Applications
Course Methods and Techniques Explanation, Discussion, Question-Answers, Application-Exercise.
Prerequisites and co-requisities None
Course Coordinator Sekreter TURGAY BOZAN
Name of Lecturers None
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Nils J. Nilsson (2018). Yapay Zeka, Geçmişi ve Geleceği. Boğaziçi Üniversitesi Yayınları
Erol, B. (2012).Büyük Veri: Yaşama, Çalışma ve Düşünme Şeklinizi Dönüştürecek Bir Devrim. Mayer, V. & Cukier, K. (Çev.). Paloma Yayıncılık.
Bootle, R. (2019), The AI Economy: Work, Wealth and Welfare in the Robot Age
Duran, C. (2018). Robotların Yükselişi: Yapay Zeka ve İşsiz bir Gelecek Tehlikesi. Ford, M. (Çev.). Kronik Kitap Yayınevi.

Course Category
Field %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 15 2 30
Mid-terms 1 30 30
Final examination 1 30 30
Total Work Load   Number of ECTS Credits 3 90

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Be able to define Artificial intelligence and describe its historical background and current usage process.
2 Discuss the effects of Artificial intelligence on economic theories.
3 Be able to comment on the analytical logic behind Artificial intelligence.
4 Have an understanding of the programming languages required for Artificial intelligence.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 What is Artificial Intelligence?
2 Doğal ve Yapay Zeka Arasındaki Fark Nedir? What is the Difference Between Natural and Artificial Intelligence?
3 Yapay Zekanın Tarihi History of Artificial Intelligence
4 Yapay Zekanın Farklı Disiplinlerdeki Uygulamaları Applications of Artificial Intelligence in Different Disciplines
5 Yapay Zeka Örnekleri Examples of Artificial Intelligence
6 Ekonomik Teoriler ve Yapay Zeka Economic Theories and Artificial Intelligence
7 Ara Sınav Midterm
8 Yapay Zeka ve İşgücü Piyasası Artificial Intelligence and the Labor Market
9 Yapay Zekanın Sosyal Bilimlerdeki Yeri The Place of Artificial Intelligence in Social Sciences
10 Yapay Zeka ve Gelir Dağılımı Artificial Intelligence and Income Distribution
11 Yapay Zeka ve İnovasyon Artificial Intelligence and Innovation
12 Yapay Zeka ve Kamu Politikaları Artificial Intelligence and Public Policies
13 Yapay Zeka Uygulamalarında Kullanılan Programlar Programs Used in Artificial Intelligence Applications
14 Yapay Zeka Uygulamalarında Kullanılan Programlar Programs Used in Artificial Intelligence Applications
15 Tartışma Discussion
16 Fİnal Sınavı Fİnal Exam

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 5 3 4 4 5 5 5 5 3 1 1 1
C1 5 3 4 4 5 5 5 5 3 1 1 1
C2 5 3 4 4 5 5 5 5 3 1 1 1
C3 5 3 4 4 5 5 5 5 3 1 1 1
C4 5 3 4 4 5 5 5 5 3 1 1 1

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant