| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Industrial Robotics - 1 | OTP230 | Elective | Associate degree | 2 | Spring | 4 |
Name of Lecturer(s)
Associate Prof. Dr. Egemen AVCU
Assistant Prof. Dr. Rıza Emre ERGÜN
Learning Outcomes of the Course Unit
1) Basic knowledge about industrial robotics
2) Knowledge about sensor technology.
3) Basic knowledge about tools and end effectors.
4) programs the basic movements of robots by using teaching method and online programming.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||
| 1 | 2 | 3 | 4 | 5 | 6 | ||
| Learning Outcomes | |||||||
| 1 | High | High | High | High | High | High | |
| 2 | High | High | High | High | High | High | |
| 3 | High | High | High | High | High | High | |
| 4 | High | High | High | High | High | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Machine Elements Basic Electric - Electronic Computer Aided Technical Drawing
Course Contents
Role of robots in industry, classification of industrial robots. Mechanical and electronical hardware of industrial robots. Robot controllers. Sensors of robotic systems. Advanced robot programming.
Weekly Schedule
1) Introduction2) Role of robots in industry.
3) Classification of industrial robots.
4) Mechanical hardware of industrial robots.
5) Electronical hardware of industrial robots.
6) Industrial robot controllers.
7) Sensors of robotic systems.
8) Midterm exam
9) Industrial robot programming
10) Industrial robot programming
11) Industrial robot programming
12) Industrial robot programming applications
13) Industrial robot programming applications
14) Industrial robot programming applications
15) Industrial robot programming applications
16) Final exam
Recommended or Required Reading
1- Endüstriyel Robotlar Ders Notları
2- Endüstriyel Robot Veri Sayfaları
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
6) Modelling
7) Role Playing
8) Group Study
9) Simulation
10) Brain Storming
11) Six Hat Methods
12) Case Study
13) Lab / Workshop
14) Self Study
15) Problem Solving
16) Project Based Learning
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required