Information Package / Course Catalogue
Fundamental Artificial Intelligence and Its Applications
Course Code: YZO182
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: 2
Objectives of the Course

To raise awareness in this field by introducing students to the basic concepts, history, application areas and ethical responsibilities of artificial intelligence.

Course Content

Basic concepts, history and application areas of artificial intelligence.

Name of Lecturer(s)
Learning Outcomes
1.Recognizes basic artificial intelligence concepts.
2.Learn the commonly used artificial intelligence techniques and their importance.
3.Gains preliminary knowledge of the programming languages, software, tools and processes required to develop artificial intelligence.
4.Learn the sub-branches of artificial intelligence, its products and real-life usage areas.
5.Discuss engineering applications of artificial intelligence.
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 Historical Development
Week 2 - Theoretical
Early artificial intelligence studies (1) The first artificial neural network based computer SNARC (2) Artificial Intelligence Science and John McCARTHY (3) John HOPFIELD and David RUMELHART (4) Computer “Deep Blue
Week 3 - Theoretical
Approaches to the Industry 4.0/4th Industrial Revolution View
Week 4 - Theoretical
Leading Companies and Universities in Artificial Intelligence Studies in the World: USA, France and Switzerland.
Week 5 - Theoretical
An Overview of Artificial Intelligence Studies in Turkey
Week 6 - Theoretical
The Structure of the Human Mind and Fundamental Concepts of Artificial Intelligence a. The Human Brain: Its connectome structure and unprogrammed nature, its memory structure, and its experience-based developmental structure
Week 7 - Theoretical
b. Programming of artificial intelligence: Algorithmic Structure and Coding, Ability to transfer information holistically and memory structure, increasing the level of intelligence (1) Analytical Artificial Intelligence and Machine Learning (2) Human-Inspired Artificial Intelligence (3) Humanoid Artificial Intelligence
Week 8 - Theoretical
c. Big Data, Concept of Big Data (Midterm Exam)
Week 9 - Theoretical
d. Weak and Strong Artificial Intelligence Approaches e. Artificial Intelligence Dialogue Systems
Week 10 - Theoretical
Explaining the Basic Types of Artificial Intelligence, Especially Machine Learning, Deep Learning, Neural Networks and Algorithms, and Their Differences from Each Other
Week 11 - Theoretical
a. Debates on the Ethical Status of Artificial Intelligence
Week 12 - Theoretical
b. The Possibility of Self-Consciousness in Artificial Intelligence (1) Will and Responsibility (2) Evaluation of Decision-Making Processes
Week 13 - Theoretical
Artificial intelligence engineering applications
Week 14 - Theoretical
Use and applications of artificial intelligence in other fields
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%10
Quiz1%10
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Assignment1314
Quiz1314
Midterm Examination1617
Final Examination1617
TOTAL WORKLOAD (hours)50
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
1
OÇ-2
1
OÇ-3
1
OÇ-4
1
OÇ-5
1
Adnan Menderes University - Information Package / Course Catalogue
2026