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This course is offered to undergraduates and introduces students to the formulation, methodology, and techniques for numerical solution of engineering problems. Topics covered include fundamental principles of digital computing and the implications for algorithm accuracy and stability, the solution of systems of linear equations. In addition to that, includes direct and iterative techniques, roots of equations and systems of equations, differentiation, and integration.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: MIT

Course Curriculum

lect_1 Introduction 00:20:00
lect_2 Introduction 00:20:00
lect_3 Linear Systems of Equations Cramer’s Rule 00:25:00
lect_4 Linear Systems Gaussian Elimination 00:25:00
lect_5 Linear Systems Tri-diagonal Systems 00:15:00
lect_6 Linear Systems Iterative Methods 00:15:00
lect_7 Roots of Non-linear Equations 00:30:00
lect_8 Interpolation of Functions by Polynomials 00:25:00
lect_9 Numerical Differentiation and Integration 00:15:00
lect_10 Ordinary Differential Equations 00:25:00
lect_11 Ordinary Differential Equations (cont.) 00:20:00
lect_12 Minimization Problems 00:30:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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