Information Package / Course Catalogue
Human-Robot Interaction
Course Code: RYZ103
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

The aim of the course is to explore the evolving topics of robotics and artificial intelligence, where robot technologies for multitasking intersect with daily human activities on the basis of Human-Robot Interaction (HRI), and to learn the broader societal impacts of robots for society.

Course Content

Students will have a comprehensive understanding of robotics, focusing on the interaction between humans and robots and how these technologies integrate into various aspects of human life and society.

Name of Lecturer(s)
Lec. İsmail MERSİNKAYA
Learning Outcomes
1.Understand the Fundamentals of Robotics and Human-robot Interaction.
2.Examine a Wide Spectrum of Robotic Systems.
3.Analyze Ethical, Societal, Legal, and Psychological Implications of Human-Robot Interaction.
4.Explore the Role of Robotics in Personal and Sensitive Domains.
5.Critically considers the views of robots in society.
Recommended or Required Reading
1.Basic Human–Robot Interaction, David O Johnson
2.Human–Robot Interaction: An Introduction by Christoph Bartneck, Tony Belpaeme, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, Selma Sabanovic
Weekly Detailed Course Contents
Week 1 - Theoretical
Robot control: The components, structure, and operation
Week 2 - Theoretical
Classification of robots
Week 3 - Theoretical
Introduction to Human-Robot Interaction (HRI)
Week 4 - Theoretical
Interfaces and communication
Week 5 - Theoretical
Productivity and profitability
Week 6 - Theoretical
Metrics for HRI systems
Week 7 - Theoretical
Human metrics
Week 8 - Theoretical
Robot metrics
Week 9 - Theoretical
Collaborative metrics
Week 10 - Theoretical
Design concepts for HRI systems
Week 11 - Theoretical
Taxonomy for HRI systems
Week 12 - Theoretical
Human factors in HRI systems
Week 13 - Theoretical
Robotics and artificial intelligence
Week 14 - Theoretical
Robot design and prototyping
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140114
Assignment100220
Project100220
Individual Work140114
Midterm Examination1011
Final Examination1011
TOTAL WORKLOAD (hours)98
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