Mechanical Engineering
Course Details
KTO KARATAY UNIVERSITY
Faculty of Engineering and Natural Science
Programme of Mechanical Engineering
Course Details
Faculty of Engineering and Natural Science
Programme of Mechanical Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05461116 | Industrial Control | 2025 | Spring | 6 | 3+0+0 | 3 | 6 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | English |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
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 | Adequate knowledge of mathematics, science and mechanical engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | 5 |
| P2 | Ability to identify, formulate and solve complex Mechanical Engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Knows the engineering applications of basic mathematical knowledge and theorems. | P.1.7 | 1 |
| O2 | Examines modeling of control systems and controller designs and applies them to engineering systems. | P.2.22 | 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 Industrial Control Systems |
| 2 | Fundamentals of Control Systems and Mathematical Modeling |
| 3 | Transfer Functions and System Dynamics |
| 4 | Feedback and Control Loops |
| 5 | PID Controller Design and Applications |
| 6 | System Stability and Frequency Response Analysis |
| 7 | Industrial Sensors and Actuators |
| 8 | Midterm |
| 9 | Control with PLC (Programmable Logic Controllers) |
| 10 | SCADA and HMI Systems |
| 11 | Modern Industrial Automation Technologies |
| 12 | Robotics and Motion Control |
| 13 | Artificial Intelligence and Machine Learning in Industrial Control |
| 14 | Current Applications |
Textbook or Material
| Resources | Michael J. Grimble ,Industrial Control Systems Design, published by Wiley. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| 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 | 3 | 42 |
| Midterms | 1 | 40 | 40 |
| 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 | 60 | 60 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 184 | ||
| Total Work Load / 30 | 6,13 | ||
| Course ECTS Credits: | 6 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 |
|---|---|---|---|
| O1 | Knows the engineering applications of basic mathematical knowledge and theorems. | 5 | - |
| O2 | Examines modeling of control systems and controller designs and applies them to engineering systems. | - | 5 |