Information Package / Course Catalogue
Fundamental Aı Applications
Course Code: YB299
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

The objective is to raise awareness in the field of artificial intelligence by introducing students to its fundamental concepts, history, application areas, and ethical responsibilities.

Course Content

Fundamental Concepts of Artificial Intelligence

Name of Lecturer(s)
Learning Outcomes
1.Recognizes fundamental artificial intelligence concepts.
2.Learns about widely used artificial intelligence techniques and their importance.
3.Gains preliminary knowledge about the programming languages, software, tools, and processes required to develop artificial intelligence.
4.Learns about the subfields, products, and real-world applications of artificial intelligence.
5.It can discuss artificial intelligence engineering applications.
Recommended or Required Reading
1.Artificial Intelligence: Basic Principles – Kevin Warwick – Ginko Bilim
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic Concepts, History and Philosophy of Artificial Intelligence, and Historical Development
Week 2 - Theoretical
Early artificial intelligence studies (1) SNARC, the first artificial neural network-based computer (2) The science of artificial intelligence and John McCarthy (3) John Hopfield and David Rumelhart (4) The computer "Deep Blue"
Week 3 - Theoretical
Approaches Regarding the Industry 4.0 / 4th Industrial Revolution Perspective
Week 4 - Theoretical
Leading Companies and Universities in Artificial Intelligence Research Worldwide: The USA, France, and Switzerland.
Week 5 - Theoretical
An Overview of Artificial Intelligence Activities in Turkey
Week 6 - Theoretical
The Structure of the Human Mind and Key Concepts Regarding Artificial Intelligence a. The Human Brain: Connectome structure and unprogrammed nature, memory structure, and experience-based developmental structure.
Week 7 - Theoretical
Programming artificial intelligence: Algorithmic structure and coding, the ability to convey information holistically and memory structure, and the enhancement of intelligence levels (1) Analytical Artificial Intelligence and Machine Learning (2) Human-Inspired Artificial Intelligence (3) Humanoid Artificial Intelligence
Week 8 - Intermediate Exam
Big Data, The Concept of Big Data (Midterm Exam)
Week 9 - Theoretical
Weak and Strong Artificial Intelligence Approaches, Artificial Intelligence Dialogue Systems
Week 10 - Theoretical
An Explanation of the Fundamental Types of Artificial Intelligence—Specifically Machine Learning, Deep Learning, Neural Networks, and Algorithms—and Their Differences from One Another
Week 11 - Theoretical
Debates on the Ethical Status of Artificial Intelligence
Week 12 - Theoretical
The Possibility of Self-Awareness in Artificial Intelligence (1) Will and Responsibility (2) Evaluation of Decision-Making Processes
Week 13 - Theoretical
Artificial intelligence engineering applications
Week 14 - Theoretical
The use and applications of artificial intelligence in other fields
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%10
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142142
Reading50210
Midterm Examination110111
Final Examination110111
TOTAL WORKLOAD (hours)74
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
PÇ-12
PÇ-13
OÇ-1
4
1
5
5
2
1
1
4
2
2
1
1
1
OÇ-2
4
1
5
5
3
1
1
4
2
2
1
1
1
OÇ-3
3
1
4
5
3
2
2
4
2
2
1
1
1
OÇ-4
4
1
5
5
4
2
2
4
3
2
2
2
2
OÇ-5
4
1
5
4
5
3
3
4
3
2
2
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026