• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. Prepare mathematicalmodels for the processes

   Contribution to Program Outcomes

   1. Build up a body of knowledge in mathematics, science, and Chemical Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
   2. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   3. Ability to design complex systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
   4. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.

   Method of assessment

   1. Written exam
2. Perform Laplace transformations

   Contribution to Program Outcomes

   1. Build up a body of knowledge in mathematics, science, and Chemical Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
   2. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   3. Ability to design complex systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
   4. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.

   Method of assessment

   1. Written exam
3. Prepare transfer function models

   Contribution to Program Outcomes

   1. Build up a body of knowledge in mathematics, science, and Chemical Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
   2. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   3. Ability to design complex systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
   4. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.

   Method of assessment

   1. Written exam
4. Identify the dynamic responses of first and second order systems

   Contribution to Program Outcomes

   1. Build up a body of knowledge in mathematics, science, and Chemical Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
   2. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   3. Ability to design complex systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
   4. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.

   Method of assessment

   1. Written exam
5. Identify feedback controllers

   Contribution to Program Outcomes

   1. Build up a body of knowledge in mathematics, science, and Chemical Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
   2. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   3. Ability to design complex systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
   4. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.

   Method of assessment

   1. Written exam
6. Tune PID controllers

   Contribution to Program Outcomes

   1. Build up a body of knowledge in mathematics, science, and Chemical Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
   2. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   3. Ability to design complex systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
   4. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.

   Method of assessment

   1. Written exam
7. Perform stability analysis

   Contribution to Program Outcomes

   1. Build up a body of knowledge in mathematics, science, and Chemical Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
   2. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   3. Ability to design complex systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
   4. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.

   Method of assessment

   1. Written exam

Contents
Week 1:	Introduction to process control and basic informaton
Week 2:	Fundemental Models
Week 3:	Laplace Transforms
Week 4:	Transfer Functions Quiz 1
Week 5:	Dynamic Process Models
Week 6:	Dynamic Behavior of First Order Processes Midterm 1
Week 7:	Dynamic Behavior of First Order Processes
Week 8:	Dynamic Behavior of Second Order Processes
Week 9:	Dynamic Behavior of Second Order Processes
Week 10:	Feedback Control Quiz 2
Week 11:	Closed Loop Control Transfer Functions
Week 12:	Closed Loop Control Transfer Functions Midterm 2
Week 13:	Stability of Closed Loop Control Systems
Week 14:	Routh Stability Criterion
Week 15*:	-
Week 16*:	Final
Textbooks and materials:	Seborg, Dale E., Duncan A. Mellichamp, Thomas F. Edgar, and Francis J. Doyle III. Process dynamics and control. John Wiley & Sons, 2010.
Recommended readings:	Bequette BW. Process control: modeling, design, and simulation. Prentice Hall Professional; 2003.
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	6,12	40
Other in-term studies:		0
Project:		0
Homework:		0
Quiz:	4, 10	20
Final exam:	16	40
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):	3	14
Own studies outside class:	3	15
Practice, Recitation:	0	0
Homework:	0	0
Term project:	0	0
Term project presentation:	0	0
Quiz:	8	2
Own study for mid-term exam:	14	2
Mid-term:	3	2
Personal studies for final exam:	15	1
Final exam:	3	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)