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)
Student's interest in the lesson
Corequisite(s)
None.
Special Requisite(s)
None.
Instructor(s)
Assist. Prof. Dr. Hatice Nazan Çağlar
Course Assistant(s)
ARŞ. GÖR. ELANUR TÜRKÜZ
Schedule
The course will not be held this semester.
Office Hour(s)
Teaching Methods and Techniques
-Verbal Lecture, Discussion, Case Studies
Principle Sources
- Nilsson, N. J. (2009). The Quest for Artificial Intelligence: A History of Ideas and Achievement. Cambridge Press.
- Cukier, K. & Schönberger, V. (2013). Big Data: A Revolution That Will Transform How We Live, Work and Think.
- Ford, M. (2015). The Rise of The Robots. Oneworld Publication.
Other Sources
--- Case studies and lecture notes to be given by the lecturer are among the other resources
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 / Case Study
6. Week
The First Examples of Artificial Intelligence
Lecture / Discussion / Case Study
7. Week
Artificial Intelligence and E-Commerce Applications
Lecture / Discussion / Case Study
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
OP-1. Comprehends both theoretical and applied subjects in international trade at the advanced level, and uses his/her knowledge when necessary.
PO-2
OP-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
OP-3. Express his/her thoughts, comments and evaluations related to International Trade discipline both in written and oral forms.
PO-4
OP-4. Defines current problems, and proposes solutions which are supported by evidence and research based quantitative and qualitative data.
PO-5
OP-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
OP-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
OP-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
OP-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
OP-9. Uses a second language (Russian, Chinese, etc.) at the intermediate level.
PO-10
OP-10. Possesses ethical principles and scientific values in collection, interpretation and release of data.
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 discipline
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.
