DAMSL-202 Numerical Analysis
January 16, 2026 2026-01-16 10:40DAMSL-202 Numerical Analysis
Type
Elective
Course Code
DAMSL-202
Teaching Semester
C semester
ECTS Credits
10
Student Performance Evaluation
The final grade will be based on homework/lab assignments and a final exam/project
Prerequisite Courses
Calculus I, Linear Algebra I, Python
Syllabus
- Root finding algorithms: Bisection, Newton’s and Newton’s like methods
- Methods for solving linear systems: Direct methods (LU, Cholesky, etc), Iterative methods (Jacobi, Gauss-Seidel, SOR, Steepest Descent, Conjugate Gradient)
- Least Squares problem
- Interpolation and Approximation
- Numerical Integration
- Solving initial value problem for ordinary differential equations
Learning Outcomes
After the successful completion of the course the students will be able to
- Analyse basic numerical algorithms and their characteristics
- Implement numerical algorithms/methods in modern computational frameworks
- Analyse the advantages and disadvantages of numerical algorithms
- Obtain numerical approximations/solutions of basic applied problems
