Information Package / Course Catalogue
Aı and E-Commerce
Course Code: EF410
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

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. The students who complete this course are expected to understand the historical and conceptual development of artificial intelligence, the goals of artificial intelligence and the methods used to achieve these goals, the social and economic role of artificial intelligence, and to be able to analyze problems, determine where artificial intelligence techniques can be used and use artificial intelligence techniques.

Course Content

Concepts that are increasingly taking place in our lives today; Artificial Intelligence, Robot, Big Data, Block Chain, Augmented reality, Virtual reality will be discussed.

Name of Lecturer(s)
Learning Outcomes
1.Will be able to define Artificial Intelligence, express its historical background and current usage process
2.Describe the uses of Artificial Intelligence in different disciplines
3.Explain Artificial Intelligence Applications in Social Sciences
4.Interpret the logic of analysis of Artificial Intelligence
5.Have an idea about the programming languages required for Artificial Intelligence
Recommended or Required Reading
1.Nils J. Nilsson (2018). Yapay Zeka, Geçmişi ve Geleceği. Boğaziçi Üniversitesi Yayınları
2.Duran, C. (2018). Robotların Yükselişi: Yapay Zeka ve İşsiz bir Gelecek Tehlikesi. Ford, M. (Çev.). Kronik Kitap Yayınevi.
Weekly Detailed Course Contents
Week 1 - Theoretical
What is Artificial Intelligence?
Week 2 - Theoretical
What is the Difference Between Natural and Artificial Intelligence?
Week 3 - Theoretical
History of Artificial Intelligence - I
Week 4 - Theoretical
History of Artificial Intelligence - II
Week 5 - Theoretical
Applications of Artificial Intelligence in Different Disciplines
Week 6 - Theoretical
First Examples of Artificial Intelligence
Week 7 - Theoretical
Artificial Intelligence and E-Commerce Applications
Week 8 - Theoretical
Yapay Zekanın Sosyal Bilimlerdeki Yeri
Week 9 - Theoretical
The Place of Artificial Intelligence in Social Sciences
Week 10 - Theoretical
Contribution of Social Sciences to Artificial Intelligence
Week 11 - Theoretical
Artificial Intelligence Application Examples
Week 12 - Theoretical
Artificial Intelligence and Entrepreneurship
Week 13 - Theoretical
Artificial Intelligence Applications and Innovation
Week 14 - Theoretical
Programs Used in Artificial Intelligence Applications
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%10
Assignment1%10
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Individual Work152030
Midterm Examination19110
Final Examination114115
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
4
4
4
4
4
4
4
4
4
OÇ-2
5
5
5
4
3
3
5
5
5
OÇ-3
5
5
5
3
4
5
5
5
4
OÇ-4
5
5
5
3
3
4
5
4
5
OÇ-5
4
5
5
5
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026