Computer Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05061906 | Robot Programming | 3 | Spring | 6 | 3+0+0 | 3 | 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 | Yok |
| Mode of Delivery | Face to Face |
| Prerequisites | Yok |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Ali Osman ÇIBIKDİKEN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Ali Osman ÇIBIKDİKEN | A-124 | [email protected] | 7585 | Monday 14.00-15.00 |
Course Content
It 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 Robotic Systems, ROS and corresponding system components using step-by-step descriptions of all components.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| 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 |
|---|---|---|
| P2 | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose | 3 |
| P4 | Ability to develop, select and use modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively | 1 |
| P6 | Ability to work effectively in disciplinary and multi-disciplinary teams; individual study skills | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Must learn basic electrical information | P.2.3 | 1 |
| O2 | Basic Web | P.5.1 | 7 |
| O3 | Knowledge of algorithm design and analysis techniques. | P.2.14 | 1,2 |
| O4 | Using and selecting the necessary tools for database system management and programming. | P.3.14 | 1 |
| O5 | Knowledge and use of software development platforms. | P.1.11 | |
| ** 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 | Introduction to ROS |
| 3 | Environment Setup |
| 4 | ROS Frameworks and Simulation |
| 5 | Using ROS in Python (1) |
| 6 | Using ROS in Python (1) |
| 7 | Midterm |
| 8 | Introduction to Robotics Simulation |
| 9 | Introduction to Robotics Simulation |
| 10 | Gazebo-I |
| 11 | Gazebo-II |
| 12 | Gazebo-III |
| 13 | Presentations |
| 14 | Exam |
Textbook or Material
| Resources | Robot Programming Design – Simulation –Ahmet Ali Süzen,Sami Ulukuş 2. Baskı, Eylül 2012 |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| 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 | 5 | 70 |
| Midterms | 1 | 3 | 3 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 3 | 3 |
| Other | 14 | 3 | 42 |
| Total Work Load: | 160 | ||
| Total Work Load / 30 | 5,33 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 | P3 | P5 |
|---|---|---|---|---|---|
| O1 | Knowledge and use of software development platforms. | 3 | - | - | - |
| O2 | Must learn basic electrical information | - | 5 | - | - |
| O3 | Knowledge of algorithm design and analysis techniques. | - | - | 1 | - |
| O4 | Using and selecting the necessary tools for database system management and programming. | 2 | - | - | - |
| O5 | Basic Web | - | - | 3 | 5 |