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

Learning outcomes

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

1. Ability to construct and solve one and two variable ODEs

   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.
   4. Develop an awareness of professional and ethical responsibility and behave accordingly. Be informed about the standards used in Chemical Engineering applications.

   Method of assessment

   1. Written exam
   2. Homework assignment
2. Ability to use Cartesians, cylindirical and spherical coordinates

   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.
   4. Develop an awareness of professional and ethical responsibility and behave accordingly. Be informed about the standards used in Chemical Engineering applications.

   Method of assessment

   1. Written exam
   2. Homework assignment
3. Ability to construct and solve one and two variable PDEs

   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.
   4. Develop an awareness of professional and ethical responsibility and behave accordingly. Be informed about the standards used in Chemical Engineering applications.

   Method of assessment

   1. Written exam
   2. Homework assignment

Contents
Week 1:	Review of Mathematical preliminaries Introduction to GNU OCTAVE
Week 2:	Introduction to mathematical models Introduction to batch and continuous systems
Week 3:	Non-interacting macro systems : 1 variable ODEs Momentum transfer problems.
Week 4:	Non-interacting macro systems : 1 variable ODEs Energy transfer problems. Quiz I
Week 5:	Non-interacting macro systems : 1 variable ODEs Mass transfer problems.
Week 6:	Interacting macro systems: 2 variable ODEs
Week 7:	Introduction to Cartesian, cylindirical and spherical coordinates Midterm Exam I
Week 8:	Introduction to Cartesian, cylindirical and spherical coordinates
Week 9:	Single variable micro systems : One variable PDEs of first and second order Momentum transfer problems Quiz II
Week 10:	Single variable micro systems : One variable PDEs of first and second order Momentum transfer problems
Week 11:	Single variable micro systems : One variable PDEs of first and second order Energy transfer problems
Week 12:	Single variable micro systems : One variable PDEs of first and second order Energy transfer problems Misterm Exam II
Week 13:	Single variable micro systems : One variable PDEs of first and second order Mass transfer problems
Week 14:	Single variable micro systems : One variable PDEs of first and second order Mass transfer problems
Week 15*:	-
Week 16*:	Final Exam
Textbooks and materials:	1) Ders Notları 2) İ. Tosun, “Modelling in transport phenomena”, Elsevier
Recommended readings:	Mustafa Özilgen, “Handbook of Food Process Modeling and Statistical Quality Control “ , 2nd ed., CRC Press,2011
	* 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:	8, 12	40
Other in-term studies:		0
Project:		0
Homework:		0
Quiz:	4, 9	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:	4	13
Practice, Recitation:	0	0
Homework:	4	1
Term project:	0	0
Term project presentation:	0	0
Quiz:	1	2
Own study for mid-term exam:	7	2
Mid-term:	2	2
Personal studies for final exam:	10	1
Final exam:	2	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)