Manufacturing Execution Systems Operator
Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Manufacturing Execution Systems Operator
Course Details
Trade and Industry Vocational School
Programme of Manufacturing Execution Systems Operator
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 07820102 | Robotic Process Automation (RPA) | 1 | Spring | 2 | 2+2+0 | 4 | 4 |
| Course Type | Compulsory |
| 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 includes theoretical lectures, practical studies on RPA scenarios, hands-on development of software robots in laboratory settings, group projects, and case analyses. |
| Mode of Delivery | Face to Face |
| Prerequisites | None; basic computer literacy and algorithmic thinking are recommended. |
| Coordinator | Lect. Mehmet AKSOY |
| Instructor(s) | Lect. Yasin BÜYÜKER |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Lect. Yasin BÜYÜKER | T-219 | [email protected] | 7408 | Tuesday 14:00/16:00 |
Course Content
The course covers the concept, evolution, and application areas of Robotic Process Automation (RPA). It focuses on process analysis, automation principles, software robot architecture, data collection, decision-making, and notification workflows. Popular RPA tools such as UiPath, Power Automate, and Blue Prism are introduced. Students work on real-life examples from manufacturing, office, and service industries to understand the integration of RPA with Industry 4.0 and artificial intelligence.
Objectives of the Course
The aim of this course is to introduce students to Robotic Process Automation (RPA) technologies, enabling them to understand the principles of automating repetitive tasks in business and manufacturing processes using software robots, and to design digital workflows that enhance efficiency in industrial and administrative applications.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to Robotic Process Automation and its historical evolution |
| 2 | Process analysis and identification of automation-ready tasks |
| 3 | Core components and logic of software robots |
| 4 | RPA architecture: user interface, process flow, and decision mechanisms |
| 5 | Introduction to RPA development environments and basic automation practices |
| 6 | Comparative analysis of different RPA platforms and their features |
| 7 | Data collection, validation, and error-handling techniques |
| 8 | Conditional statements, loops, and variable usage in RPA |
| 9 | Interaction with external systems: office applications and databases |
| 10 | Designing RPA scenarios and optimizing workflow efficiency |
| 11 | Security, access control, and user authorization in robotic processes |
| 12 | Integration of RPA with Artificial Intelligence and Machine Learning |
| 13 | RPA projelerinin değerlendirilmesi ve dijital dönüşüm perspektifi |
| 14 | Evaluation of RPA projects and perspectives on digital transformation |
Textbook or Material
| Resources | Learning Robotic Process Automation |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | - | - |
| Final Exam | - | - |
| Total | 0 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| 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 | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||