The aim of this course is to provide an introduction to artificial intelligence I 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 its goals.
Prerequisite(s)
-
Corequisite(s)
-
Special Requisite(s)
personal involvement with the subject
Instructor(s)
Assist. Prof. Dr. Didem Kayalıdereden
Course Assistant(s)
Schedule
Tuesdays 9.00-11.00 a.m
Office Hour(s)
For appointment, pls. send an email to d.kayalidereden@iku.edu.tr
Teaching Methods and Techniques
-presentations and mutual discussions
-reports
-videos
Principle Sources
-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.
-Duran, C. (2018). Robotların Yükselişi: Yapay Zeka ve İşsiz bir Gelecek Tehlikesi. Ford, M. (Çev.). Kronik Kitap Yayınevi.
-Nichifor, E., Trifan, A. and Nechifor, E.M., 2021. Artificial Intelligence in Electronic Commerce: Basic Chatbots and the Consumer Journey. Amfiteatru Economic, 23(56), pp. 87-101.
Other Sources
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Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction
Conversation
2. Week
What is artificial intelligence?
Presentation and mutual discussions
3. Week
Acceleration of digitalization on e-commerce
Presentation and mutual discussions
4. Week
Covid19 effect on e-commerce
Presentation and mutual discussions
5. Week
historical perspective of AI-I
Presentation and mutual discussions
6. Week
Historical perspective of AI-II
Presentation and mutual discussions
7. Week
midterm break
no class
8. Week
midterm break
no class
9. Week
Application of AI on different disciplines
Presentation and mutual discussions
10. Week
Guest speaker
Presentation and mutual discussions
11. Week
e-trade policies of different markets
Presentation and mutual discussions
12. Week
student presenttaion
Presentation and mutual discussions
13. Week
student presentations
Presentation and mutual discussions
14. Week
Final exam
Exam
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Program Outcomes
PO-1
Comprehends both theoretical and applied subjects in international trade at the advanced level, and uses his/her knowledge when necessary.
PO-2
Analyses basic concepts and data related to International Trade and Economics by scientific methods, interprets those with analytically, and evaluates those with regard to economic issues.
PO-3
Express his/her thoughts, comments and evaluations related to International Trade discipline both in written and oral forms.
PO-4
Defines current problems, and proposes solutions which are supported by evidence and research based quantitative and qualitative data.
PO-5
Inspects how public and private sector enterprises engaged in trade activities operates in practice, and evaluates the continuities and the dynamism in these sectors.
PO-6
Defines and tracks local, regional (such as European Union or Middle East) and global issues from the point of political economics, and relates these issues to each other.
PO-7
Possesses sufficient knowledge in other disciplines related to International Trade (such as Economics, Finance, International Business and Law), and reports this information.
PO-8
Follows publications and research in International Trade, Globalisation and Financial Systems in the English language, and communicates with his/her colleagues internationally.
PO-9
Uses a second language (Russian, Chinese, etc.) at the intermediate level.
PO-10
Possesses ethical principles and scientific values in collection, interpretation and release of data.
Learning Outcomes
LO-1
to define Artificial Intelligence, express its history and current usage process
LO-2
to describe the use caess of Artificial Intelligence on different disciplines
LO-3
to explain Artificial Intelligence Applications in Social Sciences
LO-4
to comment on the logic of Artificial Intelligence
LO-5
to have an idea about the programming languages required for Artificial Intelligence
