Information Package / Course Catalogue
Robotics and Embedded Systems
Course Code: RYZ201
Course Type: Required
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 aim of the course is to teach students the basic principles, design processes and applications of robotic systems and embedded systems. This course aims to provide students with the technical knowledge and skills required to understand how robots and embedded systems work, design these systems and develop applications. It also helps students understand the applications of robotic systems in various fields and the hardware and software components used in embedded systems.

Course Content

Robotics and Embedded Systems course is a course that focuses on the design, development and implementation of robotics and embedded systems, including topics such as basic electronics, microcontrollers, sensors, actuators and programming.

Name of Lecturer(s)
Learning Outcomes
1.They grasp the basic principles of embedded systems and understand the role of components such as microcontrollers, sensors and actuators.
2.While they gain competence in the design and analysis of electronic circuits, they also develop skills in programming microcontrollers and designing algorithms.
3.Designs robotic systems.
4.They learn data collection methods through various sensors and analyze the data they obtain.
5.They design, develop and implement robotics and embedded systems.
Recommended or Required Reading
1.Embedded Systems: Microcontrollers and Applications - Hakan Kuntman
2.Embedded Systems and Applications with Microcontrollers - Mehmet Cihat Aydemir
3.Embedded Systems: Real-Time Operating Systems for ARM Cortex M Microcontrollers - Jonathan Valvano
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic Electronics and Circuits
Week 2 - Theoretical
Analog and Digital Electronics
Week 3 - Theoretical
Fundamentals of Microcontrollers
Week 4 - Theoretical
Embedded Systems and Applications
Week 5 - Theoretical
Sensors and Actuators
Week 6 - Theoretical
Robotic Systems
Week 7 - Theoretical
Robotics Programming
Week 8 - Theoretical
Communication and Network Technologies
Week 9 - Theoretical
Power Management and Saving
Week 10 - Theoretical
Advanced Applications
Week 11 - Theoretical
Artificial Intelligence and Robotics
Week 12 - Theoretical
Automation and Industry 4.0
Week 13 - Theoretical
Robotics Ethics and Safety
Week 14 - Theoretical
Project Management and Implementation
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 - Theory140228
Project50420
Individual Work100220
Quiz1011
Midterm Examination1011
Final Examination1011
TOTAL WORKLOAD (hours)71
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