MATHEMATICS | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
MAT4064 | Partial Differential Equations I | Fall Spring |
3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Instructor TOFIGH ALLAHVIRANLOO |
Recommended Optional Program Components: | None |
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. |
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 |
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. |
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. |
Course Notes / Textbooks: | 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: |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 3 | % 10 |
Midterms | 1 | % 40 |
Final | 1 | % 50 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 2 | 28 |
Homework Assignments | 3 | 10 | 30 |
Midterms | 1 | 10 | 10 |
Final | 1 | 15 | 15 |
Total Workload | 125 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics | 5 |
2) | To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods, | 5 |
3) | To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials, | 4 |
4) | To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, | 4 |
5) | To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way, | 4 |
6) | To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level, | 4 |
7) | To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement, | |
8) | To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, | 4 |
9) | By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, | 4 |
10) | To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning, | 4 |
11) | To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school, | 2 |
12) | To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. | 3 |