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 |
|---|---|---|---|---|---|---|---|
| 03741122 | Smart Agriculture Technologies | 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 | The course employs various methods and techniques to help students reinforce theoretical knowledge through hands-on experiences. |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Lect. Dr. Yasin USLUGİL |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Lect. Dr. Yasin USLUGİL | T-202 | [email protected] | 7328 | Thursday 14:00-16:00 |
Course Content
The Sustainable Smart Agriculture Technologies course covers the fundamental principles and applications of advanced technologies used in modern agriculture. The course topics include precision agriculture, sensor technologies, GPS and geographic information systems (GIS), agricultural data analytics, Internet of Things (IoT), robotics, artificial intelligence, drone usage, smart greenhouse systems, and sustainable farming practices. Students will learn how to effectively use technologies in agricultural production processes, aiming to contribute to environmental sustainability.
Objectives of the Course
The Sustainable Smart Agriculture Technologies course aims to provide knowledge about smart technologies used in modern agriculture and their integration into sustainable farming practices. Students will learn topics such as precision agriculture, IoT, artificial intelligence, data analytics, and energy efficiency, gaining the skills to develop innovative solutions for enhancing agricultural productivity and reducing environmental impacts.
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 |
| P2 | Has Knowledge About Occupational Health And Safety, Environmental Awareness, And Quality Processes | 4 |
| P3 | Follows and Effectively Uses Current Developments and Applications in Their Profession | 2 |
| P4 | Effectively Uses Information Technologies (Software, Programs, Animations, Etc.) Related to Their Profession | 3 |
| P8 | Is Aware of Career Management and Lifelong Learning | 1 |
| P12 | Identifies and Programs Automation System Components | 2 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Uses information technologies in the design and simulation of mechatronic systems | P.4.1 | 1,7 |
| O2 | Identifies software and hardware components used in mechatronic projects | P.11.5 | 1,7 |
| O3 | Identifies and uses basic electronic components used in mechatronic systems | P.11.6 | 1,7 |
| O4 | Follows current developments and innovations in the field of mechatronics | P.11.9 | 1,7 |
| O5 | Designs systems using industrial automation software | P.12.5 | 1,7 |
| ** 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 Smart Agriculture Technologies |
| 2 | Precision Agriculture: Basic Principles and Applications |
| 3 | Sensor Technologies in Agriculture |
| 4 | GPS and Geographic Information Systems (GIS) in Agriculture |
| 5 | Agricultural Data Collection and Data Analytics |
| 6 | Internet of Things (IoT) Applications in Agriculture |
| 7 | Automation and Robotics in Agricultural Machinery |
| 8 | Smart Systems in Agricultural Irrigation |
| 9 | Use of Drones in Agricultural Production |
| 10 | Artificial Intelligence and Machine Learning in Agriculture |
| 11 | Crop Health Monitoring and Smart Disease Detection |
| 12 | Smart Greenhouse Technologies |
| 13 | Innovative Agricultural Solutions for Energy Efficiency and Sustainability |
| 14 | Future and Emerging Trends in Smart Agriculture Technologies |
Textbook or Material
| Resources | Sustainable Smart Agriculture Technologies |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | 1 | 30 (%) |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 40 (%) |
| 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 | 15 | 15 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 1 | 15 | 15 |
| 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 | 25 | 25 |
| 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 | P4 | P11 | P12 |
|---|---|---|---|---|
| O1 | Uses information technologies in the design and simulation of mechatronic systems | 3 | - | - |
| O2 | Identifies software and hardware components used in mechatronic projects | - | 2 | - |
| O3 | Identifies and uses basic electronic components used in mechatronic systems | - | - | - |
| O4 | Follows current developments and innovations in the field of mechatronics | - | 2 | - |
| O5 | Designs systems using industrial automation software | - | - | - |