Information Package / Course Catalogue
Robotics: Science and Systems
Course Code: RYZ118
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

To give students integrated systems-engineering experience by combining robotic subsystems into a single working autonomous platform.

Course Content

The course treats the end-to-end design and implementation of robotic systems in a project-based manner. Sensing, kinematics and dynamics, state estimation, computer vision, control, motion planning and embedded system development are addressed in an integrated way; students build a working autonomous system on a real robot platform.

Name of Lecturer(s)
Learning Outcomes
1.Integrates hardware and software subsystems on a single platform.
2.Implements state estimation and control on a real robot platform.
3.Connects computer vision and perception to navigation.
4.Develops embedded software and runs it in real time.
5.Develops a system within a team, reports and presents the results.
Recommended or Required Reading
1.Robotics: Science and Systems V (Mit Press) by Jeff Trinkle (Editor), Yoky Matsuoka (Editor), Jose A. Castellanos (Editor)
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to robotic systems engineering; ROS and Linux
Week 2 - Theoretical
Robot platform, drivers and embedded interfaces
Week 3 - Theoretical
Sensors and data acquisition
Week 4 - Theoretical
Basic control: wall following/line following
Week 5 - Theoretical
Kinematics and odometry
Week 6 - Theoretical
State estimation and filtering
Week 7 - Theoretical
Perception with computer vision
Week 8 - Theoretical
Localization and mapping
Week 9 - Theoretical
Motion planning and obstacle avoidance
Week 10 - Theoretical
Learning-based visual navigation
Week 11 - Theoretical
System integration and real-time performance
Week 12 - Theoretical
Autonomous race/challenge preparation
Week 13 - Theoretical
Real-time performance
Week 14 - Theoretical
Real-time performance
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
Lecture - Practice140114
Project40520
Individual Work100330
Quiz1011
Midterm Examination1011
Final Examination1011
TOTAL WORKLOAD (hours)95
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