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Numerical Methods And Simulation Techniques for Scientists and Engineers
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Overview
The course contains very important aspects of modern day course curriculum, namely, numerical methods and simulation techniques that are going to be of utmost importance to both undergraduate and graduate level
free
Type: Online
This course includes
- 8 weeks long
- Paid Certificate Available
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free
Type: Online
This course includes
- 8 weeks long
- Paid Certificate Available
Taken this course?
Share your experience with other students
Numerical Methods And Simulation Techniques for Scientists and Engineers
Created by -
0.00
(0 ratings)
Start Date: August 17th 2020
Course Description
The course contains very important aspects of modern day course curriculum, namely, numerical methods and simulation techniques that are going to be of utmost importance to both undergraduate and graduate level. Most of the real life problems are unsolvable using known analytic techniques, thus depending on numerical methods is imperative. The course introduces basic numerical methods and the key simulation techniques that are going to be useful to academia and industry alike. Even if the software packages, such as Mathematica, Matlab etc are available for most of the numeric computations, yet one should be aware of the techniques that are inbuilt into the softwares.
INTENDED AUDIENCE: Sudents, Lecturers from Engineering colleges and Universities. Also Industry people may be interested who do simulation PREREQUISITES: Basic level Mathematics courseINDUSTRY SUPPORT: Industry people in the R&D sectors of Fluid Mechanics, Material Science may value the course
Course Structure
COURSE LAYOUT
Week 1: Introduction to Numerical analysis, Importance of error and their calculations, ExamplesWeek 2: Root Finding Method of non-linear equations, Bisection Method, Newton Raphson Method,
Secant method, Regula- Falsi method, Practical examples.Week 3: Curve fitting method, linear and non-linear fitting, Linear interpolation, Lagrange interpolation
method, Newton Interpolation formula, Practical examples.Week 4: Numerical differentiation, central difference methods, higher order derivatives, errors, practical examples.Week 5: Numerical integration, Simpson’s 1/3 rd rule, Simpson’s 3/8 th rule, local and global error analysis
,practical examples.Week 6: Eigenvalue problems, Heun’s method, Euler’s method, Runge Kutta Method, Gerschgorin disc theorem ,
Jacobi method, Practical examplesWeek 7: Simulation Techniques, Random numbers, Monte Carlo Method, Importance Sampling, Metropolis Algorithm,
Heat- bath algorithm, practical ExamplesWeek 8: Molecular dynamics, interaction and forces in molecular systems, MD and Verlet algorithm, correlations,
practical examples
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About the Instructor
Prof. Saurabh Basu,Indian Institute of Technology Guwahati
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