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

Learning outcomes

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

1. The analysis of dynamic systems and simulation

   Contribution to Program Outcomes

   1. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   2. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.
   3. Ability to design and conduct numerical or physical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Chemical Engineering.

   Method of assessment

   1. Written exam
   2. Homework assignment
   3. Term paper
2. Development of stable feedback loops

   Contribution to Program Outcomes

   1. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   2. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.
   3. Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Engineering-related problems.

   Method of assessment

   1. Written exam
   2. Homework assignment
   3. Term paper
3. Solution of process control problems through software

   Contribution to Program Outcomes

   1. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
   2. Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Engineering practice; employ information technologies effectively.
   3. Ability to design and conduct numerical or physical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Chemical Engineering.

   Method of assessment

   1. Written exam
   2. Homework assignment
   3. Seminar/presentation
   4. Term paper

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)