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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of MATHEMATICS
Masters with Thesis
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FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of MATHEMATICS / Masters with Thesis
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MATI5170Applied Partial Differential Equations3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of MATHEMATICS
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Erhan COŞKUN
Co-Lecturer
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
The course aims to provide general background on mathematical models arising from physics, chemistry, biology and engineering that can be formulated in the form of partial differential equations and introduce basic analytical methods for obtaining solutions with appropriate initial and boundary conditions.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : analyse mathematical models in the form of partial differential equations that arise in science and engineering1,2,3,41,3,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Transition from ODE's to PDE's. Linearity vs nonlinearity, Classification of second-order linear equations, reduction to canonical form and general solutions, D'Alembert solution of wave equation, Advection equation on infinite and semi-infinite domain, A review from Sturm-Liouville Theory, A review of Fourier series, Separation of variables, Diffusion equation on a finite problem, Wave equation on a finite domain, Laplace equation on a finite domain.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Basic concepts, ODE vs PDE, order, linearity,equations that can be solved using ODE techniques
 Week 2Classification of second-order differential equations and reduction to canonical forms.
 Week 3General solution of some equations, D'Alembert solution of wave equation
 Week 4Advection equation on a finite and infinite domains
 Week 5A review of Sturm-Liouville theory
 Week 6Fourier series
 Week 7Convergence of Fourier series
 Week 8Method of separation of variables and initial-baundary value problems for heat equations
 Week 9Midterm
 Week 10Nonhomogeneous boundary value problems form heat equations
 Week 11Method of separation of variables and initial-baundary value problems for wave equations
 Week 12Nonhomogeneous boundary value problems form wave equations
 Week 13Applications with maxima
 Week 14Nonhomogeneous boundary value problems form laplace equations
 Week 15Applications with maxima
 Week 16Review
 
Textbook / Material
1Paul DuChateau and David Zachmann, Applied Partial Differential Equations, Dover Publications, Inc., New York, 1989.
 
Recommended Reading
1Erhan Coşkun, Lineer Kısmi Diferensiyel Denklemlere Giriş, Ders notları, URL:erhancoskun.com.tr
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 20/04/2022 2 50
End-of-term exam 16 10/06/2022 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 4 14 56
Arasınav için hazırlık 10 1 10
Ödev 2 14 28
Dönem sonu sınavı için hazırlık 10 1 10
Dönem sonu sınavı 2 1 2
Total work load148