APPLIED MATHEMATICS (TURKISH, THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
MAT5012 | Numerical Solutions to Differential Equations I | Fall | 3 | 0 | 3 | 8 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | Turkish |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Assoc. Prof. ERSİN ÖZUĞURLU |
Recommended Optional Program Components: | None |
Course Objectives: | This course focus on numerical techniques for finding solutions to ordinary differential equations by examining the error analysis and efficiencies of the methods. |
The students who have succeeded in this course; The students who succeeded in this course; o will be able to understand basic methods for ordinary differential equations. o will be able to solve numerically any given linear or nonlinear ordinary differential equation. o will be able to understand the concepts of consistency, stability, and convergence. o will be able to solve ordinary differential equations by using a computer program (C, C+ , Fortran, Matlab). o will be able to discuss the consistency, convergence and stability for schemes. o will be able to do error analysis. |
This course focuses on the fundamentals of modern and classical numerical techniques for linear and nonlinear ordinary differential equations, with application to a wide variety of problems in science, engineering and other fields. The course covers the basic theory of scheme consistency, convergence and stability and various numerical methods. |
Week | Subject | Related Preparation |
1) | Existence, Uniqueness, and Stability Theory | |
2) | Consistency, Stability, and Convergence | |
3) | Euler’s Method and Its Error Analysis | |
4) | Multistep Methods | |
5) | Midpoint and Trapezoidal Methods | |
6) | A Low-Order Predictor-Corrector Algorithm | |
7) | A Low-Order Predictor-Corrector Algorithm (continued) | |
8) | Derivation of Higher-Order Multistep Methods | |
9) | Derivation of Higher-Order Multistep Methods (continued) | |
10) | Convergence and Stability Theory for Multistep Methods | |
11) | Stiff Differential Equations and The Method of Lines | |
12) | Single-Step Methods | |
13) | Single steps and Runge-Kutta Methods (continued) | |
14) | Boundary Value Problems |
Course Notes / Textbooks: | An Introduction to Numerical Analysis (2nd edition), Kendall E. Atkinson, John Wiley and Sons, Inc. |
References: | . |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 7 | % 30 |
Presentation | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Presentations / Seminar | 1 | 40 | 40 |
Homework Assignments | 7 | 10 | 70 |
Final | 1 | 46 | 46 |
Total Workload | 198 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution |