Mechatronics
Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Mechatronics
Course Details
Trade and Industry Vocational School
Programme of Mechatronics
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 03741123 | Data Management in Mechatronic Systems | 2 | Spring | 4 | 2+0+2 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | Lect. Taha Fatih ATEŞ |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Content
Data collection in mechatronic systems, analysis and processing of data from sensors, database management, data communication protocols, big data analytics, the role of artificial intelligence and machine learning algorithms in data management, cloud computing applications, and data security.
Objectives of the Course
The aim of this course is to understand the data management processes in mechatronic systems and to teach methods for data collection, processing, storage, and analysis. Additionally, students are expected to learn how to effectively utilize data in mechatronic applications and become familiar with the software and hardware tools used in this process.
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 |
|---|---|---|
| P1 | Has Fundamental, Current, And Practical Knowledge Related to Their Profession. | 3 |
| P9 | Adheres to Social, Scientific, Cultural, and Ethical Values in The Stages of Collecting, Applying, and Announcing Data Related to Their Field | 2 |
| P11 | Defines and Applies Fundamental Concepts Related to Mechatronics | 4 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Grasps the working principles of sensors, actuators, and control systems. | P.1.2 | 1 |
| O2 | Follows ethical standards in data collection and analysis | P.9.2 | 1 |
| O3 | Explains and defines fundamental concepts in the field of mechatronics | P.11.1 | 1 |
| O4 | Identifies and explains mechatronic components such as sensors, actuators, and control systems | P.11.2 | 1 |
| ** 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 Data Management in Mechatronic Systems |
| 2 | Data Collection Methods from Sensors |
| 3 | Data Processing Techniques |
| 4 | Data Storage Systems and Database Management |
| 5 | Real-Time Data Processing |
| 6 | Internet of Things (IoT) and Data Sharing |
| 7 | Big Data Analytics |
| 8 | Cloud Computing and Data Management |
| 9 | Data Communication Protocols |
| 10 | Data Security in Mechatronic Systems |
| 11 | Data Analysis with Artificial Intelligence |
| 12 | Case Studies in Industrial Data Management |
| 13 | Data Management Applications in Smart Systems |
| 14 | Future Trends and Technologies in Data Management |
Textbook or Material
| Resources | Big Data: Principles and Best Practices of Scalable Realtime Data Systems. Manning Publications, 2015, Nathan Warren |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| 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 | 2 | 28 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 25 | 25 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 14 | 2 | 28 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 30 | 30 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 153 | ||
| Total Work Load / 30 | 5,10 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P9 | P11 |
|---|---|---|---|---|
| O1 | Grasps the working principles of sensors, actuators, and control systems. | 3 | - | - |
| O2 | Follows ethical standards in data collection and analysis | - | 4 | - |
| O3 | Explains and defines fundamental concepts in the field of mechatronics | - | - | - |
| O4 | Identifies and explains mechatronic components such as sensors, actuators, and control systems | - | - | 4 |