MAT5010 Numerical AnalysisBahçeşehir UniversityDegree Programs APPLIED MATHEMATICS (TURKISH, THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
APPLIED MATHEMATICS (TURKISH, THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT5010 Numerical Analysis Fall
Spring
3 0 3 8
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

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: Scientific computation and simulation require both a theoretical knowledge of the subject and computational experience with it. Understanding these aspects in terms of error analysis, stability and efficiency of the methods plays an important role.

Learning Outcomes

The students who have succeeded in this course;
The students who succeeded in this course;
o will be able to solve Linear and Non Linear Equations by using methods.
o will be able to provide logical proofs of important theoratical results.
o will be able to apply the theory of simulation by modeling real life examples.

Course Content

Error analysis, root finding for nonlinear equations, interpolation theory, numerical solution of systems of linear and nonlinear equations, the matrix eigenvalue problem.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Errors, Condition Numbers, Norms
2) Sources and Propagation of Errors
3) General Theory for One-point Iteration Methods
4) Error Analysis of Nonlinear Equations
5) Interpolation
6) Finite Differences and Table-Oriented Interpolation Formulas and Their Error Analysis
7) Further Results on Interpolation Error
8) Approximation of Functions: The Weierstrass Theorem and Taylor’s Theorem
9) Approximation of Functions: The Least Squares Approximation Problem
10) Numerical Solution of Systems of Linear Equations: Direct Methods and Their Error Analysis
11) Numerical Solution of Systems of Linear Equations: Iterative Methods and Their Error Analysis
12) The Matrix Eigenvalue Problem: Error and Stability Results
13) The Matrix Eigenvalue Problem: The Power Method and Eigenvalues of Special Matrices
14) Singular Value Decomposition

Sources

Course Notes / Textbooks: An Introduction to Numerical Analysis (2nd edition), Kendall E. Atkinson, John Wiley and Sons, Inc.
References: .

Evaluation System

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

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Presentations / Seminar 1 40 40
Homework Assignments 7 14 98
Final 1 20 20
Total Workload 200

Contribution of Learning Outcomes to Programme Outcomes

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