Information Package / Course Catalogue
Applied Mechatronics Design
Course Code: ME423
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

This lecture gives students the opportunity to apply knowledge and skills learnt throughout the Mechatronics program to a typical mechatronic problem. With clearly defined objective students will be required to design, build and test their mechatronic solution in small teams.

Course Content

Introduction to Mechatronics Systems, Human Machine Interface, Mobile Robot, GPS Navigation / MATLAB Simulation, Kinematics, MATLAB, MobotSim Simulation, GPS Robot, Flash LEDs, Steer, Navigation, LCD, Compass, Motion, GPS Receiver, Robot Architecture, Path Planning a Robot Algorithm, Probability and Robot Motion, Basics of ROS Topics, Git, ROS Packages, Building an XY Actuator Table, CAN Bus Controller Area Network, Image Processing

Name of Lecturer(s)
Learning Outcomes
1.ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study
2.ability to complete and implement “limited or incomplete data” by using the scientific methods.
3.ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them
4.ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process
5.gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering
Recommended or Required Reading
2.Mechatronic Systems Design : Methods, Models, Concepts by Klaus Janschek, Springer ( 09 / 2011 )
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Mechatronics Systems (Cables/ Connector/ Enclosures)
Week 2 - Theoretical
Human Machine Interface
Week 3 - Theoretical
Mobile Robot
Week 4 - Theoretical
GPS Navigation / MATLAB Simulation
Week 5 - Practice
Kinematics, MATLAB, MobotSim Simulation
Week 6 - Theoretical
GPS Robot
Week 7 - Theoretical
GPS Robot
Week 8 - Intermediate Exam
Flash LEDs, Steer, Navigation, LCD, Compass, Motion, GPS Receiver, Midterm
Week 9 - Theoretical
Robot Architecture
Week 10 - Practice
Path Planning a Robot Algorithm
Week 11 - Theoretical
Probability and Robot Motion
Week 12 - Practice
Basics of ROS Topics, Git, ROS Packages, Building an XY Actuator Table
Week 13 - Practice
Basics of ROS Topics, Git, ROS Packages, Building an XY Actuator Table
Week 14 - Theoretical
CAN Bus Controller Area Network, Image Processing
Week 15 - Final Exam
Final Exam
Week 16 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Practice1%20
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory161132
Lecture - Practice161132
Assignment32315
Practice Examination22310
Midterm Examination111516
Final Examination102020
TOTAL WORKLOAD (hours)125
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
OÇ-1
5
4
3
5
4
4
5
4
3
5
4
5
OÇ-2
4
3
3
3
4
3
4
3
4
5
5
4
OÇ-3
4
4
3
5
4
3
5
5
5
4
3
5
OÇ-4
5
5
5
4
3
3
3
5
5
4
5
5
OÇ-5
5
4
3
3
3
5
4
4
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026