DIU-BLC
Numerical Methods (Summer 2021)
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Course Overview
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Career Plan
Course Assessment Strategy/ Reference/ Practice Booklist
Application: An Example
Course Assessment Strategy/ Reference/ Practice Booklist
Course Outline
Text_Book
Folder of Reference Books
Assessment Board
Final Exam
Module 01: Error Discussion, SLE and Bisection Method
Error Discussion
Live Class- Error Discussion
Bisection Method
Numerical Solutions
Solution of Algebraic & Transcendental Equations
Live Class- SLE & Bisection Method
Module 2: Newton Raphson Method for Algebraic & Transcedental Equation
Live Class: Newton Raphson Method
Newton Raphson Theory- Basics
Newton Raphson Theory- Extra
Solved Problem
Module 03: Newton's Forward and Backward Interpolation Formula
Newton Forward Method
Newton Backward Method
Newton Forward-Backward Method
Newton Forward-Backward Method
Live Class- Newton Forward Backward Method
Module 04: Regula Falsi & Fixed Point Iteration Method
Regula Falsi Method
Regula Falsi Method - Solved exercise
Live Class - Regula Falsi Method
Live Class - Quiz Practice
Fixed Point Iteration Method
Fixed Point Iteration Method
Live Class - Fixed Point Iteration Method
Module 05: Lagrange Interpolation Method
Lagrange Interpolation Theory
Practice Problems
Live Class- Lagrange Interpolation Method
Module 06: Jacobi Method & Gauss-Seidel Method
Jacobi & Gauss-Siedel Method Theory
Practice Problems
Live Class - Jacobi Method & Gauss-Seidel Method
Module 07: Curve Fitting
Linear Curve Fitting Theory
Non-linear Curve Fitting Theory
Practice Problems
Live Class Recording
Module 08: Runge Kutta Method
Runge-Kutta Method Theory
RK4- Practice Problems 1
RK4- Practice Problems 2
Live Class - RK Method
Module 09 : Numerical Integration
Numerical Integration
Numerical Integration- Learn More
Recorded Class
Ask Questions
Week#01:Error Discussion , SLE and Bisection Method
Week#02: Newton Raphson Method for Algebraic and Transcendental equation
Week #03: Newton's Forward and Backward Interpolation Formula
Week #04:False Position and Fixed Point Iterative Methods
Week#05: Lagrange Interpolation and, Maximum and Minimum value of a tabulated functions
Week #06: Jacobs method and Gauss Seidal Iteration Method
Week #7 Midterm exam
Week#08: Curve Fitting
Week#09: Divided difference interpolation
Presentation#
Week #10: Runge kutta method
Week # 11:Numerical Integration and Derivatives
Week#12: Factorization
Week 13: Final Exam
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CSE 235 (MEH-212)
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Course info
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Courses
DIU
Faculty of Engineering
Electrical and Electronic Engineering
EEE Summer 21
CSE 235 (MEH-212)
Summary
Numerical Methods (Summer 2021)
Teacher:
Mohammad Ehsanul Hoque
Skill Level
:
Beginner