Information Package / Course Catalogue
Modern Robotics
Course Code: RYZ104
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 2
Objectives of the Course

The aim of this course is to introduce students to the basic concepts and structure of robotic systems, to explain different types of robots and their usage areas with examples, to present today's industrial and social applications of robot technology at an understandable level and to raise awareness of technological developments.

Course Content

Current application areas of Robotics and Artificial Intelligence technologies, current robotics and artificial intelligence based applications of health, education, defense industry, industry, marketing, space technologies.

Name of Lecturer(s)
Learning Outcomes
1.Ability to define the concept of robotics and basic robot types
2.Ability to explain the basic components of robots (sensor, motor, control unit)
3.To be able to explain with examples in which areas robot technologies are used today.
4.Ability to analyze the working logic of modern robots at a simple level
5.Discuss the social impacts and ethical dimensions of robotic systems.
Recommended or Required Reading
1.Introduction to Modern Robotics, Daisuke Chugo, Sho Yokota
2.Artificial Intelligence and Robotics, Peter J. Bentley
Weekly Detailed Course Contents
Week 1 - Theoretical
Definition of Robotics
Week 2 - Theoretical
Types of Robots
Week 3 - Theoretical
Parts of Robots
Week 4 - Theoretical
Movement Mechanisms of Robots
Week 5 - Theoretical
Sensors
Week 6 - Theoretical
Decision Making Mechanisms of Robots
Week 7 - Theoretical
Use of Robots in Industry
Week 8 - Theoretical
Robots in Healthcare
Week 9 - Theoretical
Agriculture and Logistics Robots
Week 10 - Theoretical
Robots in Defense and Security
Week 11 - Theoretical
Artificial Intelligence and Robots
Week 12 - Theoretical
Artificial Intelligence and Robots
Week 13 - Theoretical
Modern Robotics Applications
Week 14 - Theoretical
Modern Robotics Applications
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures10%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Individual Work100110
Quiz1011
Midterm Examination1011
Final Examination1011
TOTAL WORKLOAD (hours)55
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
PÇ-14
PÇ-15
OÇ-1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
OÇ-2
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
OÇ-3
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
OÇ-4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
OÇ-5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026