Mechatronics Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05561004 | Robot Programming | 3 | Spring | 6 | 3+0+0 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | Lecture, Project |
| Mode of Delivery | Face to Face |
| Prerequisites | There is no prerequisite for the course. |
| Coordinator | - |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Content
The course will be based on teaching ROS using Python and Gazebo.
Objectives of the Course
This course aims to provide students with a simplified overview of Robotics Systems, ROS, and corresponding system components using step by step explanations of all components.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P4 | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; Ability to use information technologies effectively | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Ability to learn how to use the ROS Python API to develop code for Robots in Python | P.4.27 | 1,7 |
| O2 | Ability to learn ROS and how it is used when programming robots | P.4.28 | 1,7 |
| O3 | Ability to learn about Robotics Simulation Tools for programming and testing in a virtual environment | P.4.29 | 7 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to ROS |
| 2 | Environmental Setup |
| 3 | ROS Frameworks and Simulation |
| 4 | Using ROS in Python (1) |
| 5 | Using ROS in Python (2) |
| 6 | Using ROS in Python (3) |
| 7 | Using ROS in Python (4) |
| 8 | Using ROS in Python (5) |
| 9 | Introduction to Robotics Simulation |
| 10 | Gazebo (2) |
| 11 | Gazebo (2) |
| 12 | Gazebo (3) |
| 13 | Gazebo (4) |
| 14 | Gazebo (5) |
Textbook or Material
| Resources | Learning ROS for Robotics Programming - Second Edition |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | 1 | 10 (%) |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | 1 | 30 (%) |
| Quiz | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 30 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 10 | 10 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 1 | 10 | 10 |
| Laboratory | 0 | 0 | 0 |
| Project | 1 | 30 | 30 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 20 | 20 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 154 | ||
| Total Work Load / 30 | 5,13 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P4 |
|---|---|---|
| O1 | Ability to learn how to use the ROS Python API to develop code for Robots in Python | 5 |
| O2 | Ability to learn ROS and how it is used when programming robots | 5 |
| O3 | Ability to learn about Robotics Simulation Tools for programming and testing in a virtual environment | 5 |