Mechanical Engineering

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
05461116	Industrial Control	3	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)	-

Basic Vocational Courses
Specialization / Field Courses	X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses

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

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

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

Resources

Michael J. Grimble ,Industrial Control Systems Design, published by Wiley.

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 (%)

	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

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