Udemy
Programming Numerical Methods in Python focuses on how to program the numerical methods step by step to create the most basic lines of code that run on the computer efficiently and output the solution at the required degree of accuracy. This course is a practical tutorial for the students of Numerical Analysis to cover the part of the programming skills of their course.
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Udemy
Numerical Methods (also known as Numerical Analysis) is required in many Engineering degree programs. This course will focus on the root finding and numerical integration techniques most frequently covered at the undergraduate level. MATLAB is widely used in undergraduate engineering programs as well as in industry. In addition, it should be noted that this course can be used to enhance your coding skills.
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YouTube
Numerical Methods is very important concept with wide horizon of applications in the field of Mechanical Engineering. So this channel is one of the best YouTube channel to learn NM in Octave and Python. This course will focus on the root finding and numerical integration techniques most frequently covered at the undergraduate level.
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YouTube
Numerical methods provide a way to solve problems quickly and easily compared to analytic solutions. Whether the goal is integration or solution of complex differential equations, there are many tools available to reduce the solution of what can be sometimes quite difficult analytical math to simple algebra. MKS Tutorials bring to you wide concepts with easy explanation.
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NPTEL
This course is an advanced course offered to UG/PG student of Engineering/Science background. It contains solution methods for different class of partial differential equations. The convergence and stability analysis of the solution methods is also included . It plays an important role for solving various engineering and sciences problems. It has tremendous applications in diverse fields in engineering.
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AICTE
The aim of the course is to develop a sound understanding of the various numerical techniques, principles and their application to Civil engineering problems. Exposure to various numerical methods for performing tasks, such as interpolation, differentiation, integration, solution of linear and nonlinear equations, solution of differential and integral equations
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MIT
This course offers an advanced introduction to numerical analysis, with a focus on accuracy and efficiency of numerical algorithms. Topics include sparse-matrix/iterative and dense-matrix algorithms in numerical linear algebra (for linear systems and eigenproblems), floating-point arithmetic, backwards error analysis, conditioning, and stability.
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Coursera
This course covers the most important numerical methods that an engineer should know. The course derives basic algorithms in root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems. Access to MATLAB online.
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