This course introduces the main concepts and techniques of numerical analysis for solving mathematical problems. It covers polynomial interpolation (Lagrange, Newton, and Hermite methods), least-squares approximation, numerical differentiation, and numerical integration. Emphasis is placed on error analysis, accuracy, and the selection of appropriate numerical methods for scientific and engineering applications
#
Before enrolling in this course, students are expected to possess the fundamental mathematical knowledge required for numerical analysis. They should have a solid understanding of real-variable function analysis, including derivatives, limits, continuity, and Taylor series, as these concepts form the basis for many numerical methods presented throughout the course.
Students should also be familiar with basic matrix calculus, including matrix operations, dimensions, determinants, and invertibility. This background will enable them to understand and implement numerical algorithms efficiently. In addition, basic computer skills and the ability to use mathematical software or programming environments are recommended to support practical applications and computational exercises during the course.
Dr. Benzahi Ahlem is an Assistant Professor of Mathematics at Batna 2 University, Faculty of Technology, Department of Civil Engineering. She holds a Ph.D. in Applied Mathematics, specializing in Fractional Differential Equations, Numerical Analysis, and Scientific Computing.
Biography of instructor/staff member #1
Biography of instructor/staff member #2
The Open edX platform works best with current versions of Chrome, Edge, Firefox, or Safari.
See our list of supported browsers for the most up-to-date information.
Your answer would be displayed here.
