Information Package / Course Catalogue
Artificial Intelligence and Its Applications
Course Code: PLT289
Course Type: Non Departmental Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

The aim of this course is to provide students with an introduction to 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 by analyzing the problems, determining where artificial intelligence techniques can be used and using artificial intelligence techniques.

Course Content

Basic concepts and methods of artificial intelligence. Problem solving using artificial intelligence; search methods using and not using problem information.

Name of Lecturer(s)
Learning Outcomes
1.Defines Artificial Intelligence
2.Refers to the history, past and current use of artificial intelligence
3.Describes the usage areas of Artificial Intelligence in different disciplines.
4.Explain Artificial Intelligence Applications in Social Sciences
5.Interprets the analysis logic of Artificial Intelligence
Recommended or Required Reading
1.Artificial Intelligence: Human - Computer Interaction, Prof. Dr. Vasif Vagifoglu Nabiyev
Weekly Detailed Course Contents
Week 1 - Theoretical
Course introduction
Week 2 - Theoretical
What is artificial intelligence?
Week 3 - Theoretical
What is the difference between natural and artificial intelligence?
Week 4 - Theoretical
History of artificial intelligence – II
Week 5 - Theoretical
History of artificial intelligence – II
Week 6 - Theoretical
Applications of artificial intelligence in different disciplines (quiz)
Week 7 - Theoretical
The first examples of artificial intelligence
Week 8 - Theoretical
The first examples of artificial intelligence (Midterm Exam Evaluation)
Week 9 - Theoretical
The first examples of artificial intelligence
Week 10 - Theoretical
The place of artificial intelligence in social sciences
Week 11 - Theoretical
Contribution of social sciences to artificial intelligence
Week 12 - Theoretical
Artificial intelligence and entrepreneurship, examples of artificial intelligence applications
Week 13 - Theoretical
AI applications, innovations and inventions
Week 14 - Theoretical
Programs used in artificial intelligence applications
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Quiz1%10
Midterm Examination1%25
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142142
Lecture - Practice141135
Quiz1617
Midterm Examination1718
Final Examination1718
TOTAL WORKLOAD (hours)100
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
PÇ-10
PÇ-11
OÇ-1
1
1
1
1
1
1
OÇ-2
1
1
1
1
1
1
OÇ-3
1
1
1
1
1
1
OÇ-4
1
1
1
1
1
1
OÇ-5
1
1
1
1
1
1
Adnan Menderes University - Information Package / Course Catalogue
2026