MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT4064 Partial Differential Equations I Fall 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Must Course
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Instructor TOFIGH ALLAHVIRANLOO
Course Objectives: This course concerns with the basic analytical tools of partial differential equations (PDEs) for practical applications in science engineering, including heat/diffusion, wave, and Poisson equations. The aim of this course is to analyze fundamental concepts of PDE theory.

Learning Outputs

The students who have succeeded in this course;
The students who succeeded in this course;
will be able to classify of Partial Differential Equations
will be able to anaylze solution by method of separation of variables.
will be able to analyze Fourier Series for 2pi periodic functions
will be able to anaylze the heat equation, wave equation and their solution by method of seperation of variables.
will be able to anaylze the Laplace’s equation in rectangular coordinates and its solution.
will be able to analyze the Laplace’s equation in polar and spherical coordinates and their solutions.
will be able to analyze maximum principles for Laplace equation

Course Content

In this course basic concepts and classification of partial differential equations will be discussed. The heat, wave and Laplace equation will be given and the solution methods will be taught.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction and basic facts about PDE's
2) Classification of PDE’s, First-order linear PDE's
3) Almost Linear and Quasi Linear PDE’s
4) Solution of First order PDE's by Characteristics Methods
5) Cauchy-Kowalewski Theorem
6) The wave equation. Solution by seperation of variables. Existence and Uniqueness of Solutions.
7) Laplace equation
8) Laplace equation in Cyclindrical and Sprecial Coordinates
9) Fundamental solution of Laplace equation.
10) Seperation of Variables method, Boundary value problems
11) Green identities and applications
12) Poisson equation and Poisson formula
13) Dirichlet and Neumann Problems
14) Heat equation, Maximum ve minimum principle.

Sources

Course Notes: 1-Partial Differential Equations with Fourier Series and Boundary Value Problems” by Nakhle H. Asmar. 2nd Edition, 2005, PearsonPrentice Hall. 2-Partial Differential Equations, L.C. Evans.AMS.1998. 3-Partial Differential Equations, F. John, fourth edition, v1.1982. 4-Partial Differential Equations: An Introduction, W. A. Strauss,1992
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments 3 % 10
Presentation % 0
Project % 0
Seminar % 0
Midterms 1 % 40
Preliminary Jury % 0
Final 1 % 50
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 2 28
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 3 10 30
Quizzes 0 0 0
Preliminary Jury 0
Midterms 1 10 10
Paper Submission 0
Jury 0
Final 1 15 15
Total Workload 125

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution