Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
MB0070		Partial Differential Equations	2/2/0	DE	Turkish	5

Course Goals	To give the fundamental knowledge about The Partial Differential Equations to whom may research in Applied Mathematics , in Physics and in Engineering
Prerequisite(s)	None
Corequisite(s)	To know how to differentiate and integrate
Special Requisite(s)	To be succeded in all Analyses and Differential Equations Courses
Instructor(s)	Assist. Prof. Dr. Günay Aslan
Course Assistant(s)
Schedule	Day, hours, XXX Campus, classroom number.
Office Hour(s)	Instructor name, day, hours, XXX Campus, office number.
Teaching Methods and Techniques	-Lecture
Principle Sources	-Class-room Notes
Other Sources	-SNEDDON,I.N.,Elements of Partıal Differential Equations ; McGRAW-HILL ,1957

Course Schedules
Week	Contents	Learning Methods
1. Week	A preview of The Ordinary Differerential Equations (ODE) : I	Oral presentations
2. Week	A preview of (ODE):II	Oral presentations
3. Week	Partial Derivatives and the Space Geometry	Oral presentations
4. Week	The Partial Differential Equations(PDE):Definitions and Origins	Oral presentations
5. Week	(PDE): General and Sİngular Solutions	Oral presentations
6. Week	Linear PDE of the First Order	Oral presentations
7. Week	Linear PDE with n Independent Variables	Oral presentation
8. Week	Midterm Exam	Writing Examination
9. Week	Nonlinear PDE of the First Order	Oral presentation
10. Week	Charpit's Method	Oral presentation
11. Week	Standard and standardizable Forms	Oral presentation
12. Week	Nonlinear PDE with n Independent Variables	Oral presentation
13. Week	Jacobi's Method	Oral presentation
14. Week	Consistent Systems of PDEs.	Oral presentation
15. Week	Final Exams	Writing Examinations
16. Week	Final Exams	Writing Examinations
17. Week	Final Exams	Writing Examinations

Assessments
Evaluation tools	Quantity	Weight(%)
Midterm(s)	1	40
Homework / Term Projects / Presentations	1	10
Final Exam	1	50

Program Outcomes PO-1 Interpreting advanced theoretical and applied knowledge in Mathematics and Computer Science. PO-2 Critiquing and evaluating data by implementing the acquired knowledge and skills in Mathematics and Computer Science. PO-3 Recognizing, describing, and analyzing problems in Mathematics and Computer Science; producing solution proposals based on research and evidence. PO-4 Understanding the operating logic of computer and recognizing computational-based thinking using mathematics as a discipline. PO-5 Collaborating as a team-member, as well as individually, to produce solutions to problems in Mathematics and Computer Science. PO-6 Communicating in a foreign language, and interpreting oral and written communicational abilities in Turkish. PO-7 Using time effectively in inventing solutions by implementing analytical thinking. PO-8 Understanding professional ethics and responsibilities. PO-9 Having the ability to behave independently, to take initiative, and to be creative. PO-10 Understanding the importance of lifelong learning and developing professional skills continuously. PO-11 Using professional knowledge for the benefit of the society.

Learning Outcomes LO-1 Understands how a PDE arises and recognizes the PDE ,whenever faced. LO-2 Learns what is a solution of a PDE and knows of the classification of PDEs according to the technics of solutions. LO-3 Knows how to determine the class of the PDE faced. LO-4 Knows how to solve the PDE according to the class of the PDE. LO-5 Knows how to model a physical , a geometric or an engineering problem as a PDE.

Course Assessment Matrix:

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10	PO 11
LO 1
LO 2
LO 3
LO 4
LO 5