Title: Scientific Computing Using Python
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Scientific Computing Using Python

Indian Institute of Technology Kanpur , NPTEL via Swayam

Description

ABOUT THE COURSE:Computation has become an essential tool in science and engineering. In this course, we introduce Python programming language, after which we will cover basics of computational methods. The students will be asked to the solution in Python, which the de facto language now. Topics to be discussed include interpolation, integration, differentiation, ODE and PDE solvers, basic linear algebra, and Monte Carlo techniques. These topics form essential computing tools for computational courses in science and engineering.INTENDED AUDIENCE: PG students of Science and Engineering (Specially Physics, Mathematics, Mechanical, Aerospace, Computer science and Chemical Engineering). Advance UG students too can take this course.PREREQUISITES: Basic knowledge of calculus, linear algebra, and ordinary and partial differential equations. Basic knowledge of computation is recommended.INDUSTRY SUPPORT: Companies involved in Computational fluid dynamics, computational electrodynamics, data sciences, finance, etc.

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Scientific Computing Using Python

Indian Institute of Technology Kanpur , NPTEL
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ABOUT THE COURSE:Computation has become an essential tool in science and engineering. In this course, we introduce Python programming language, after which we will cover basics of computational methods. The students will be asked to the solution in Python, which the de facto language now. Topics to be discussed include interpolation, integration, differentiation, ODE and PDE solvers, basic linear algebra, and Monte Carlo techniques. These topics form essential computing tools for computational courses in science and engineering.INTENDED AUDIENCE: PG students of Science and Engineering (Specially Physics, Mathematics, Mechanical, Aerospace, Computer science and Chemical Engineering). Advance UG students too can take this course.PREREQUISITES: Basic knowledge of calculus, linear algebra, and ordinary and partial differential equations. Basic knowledge of computation is recommended.INDUSTRY SUPPORT: Companies involved in Computational fluid dynamics, computational electrodynamics, data sciences, finance, etc.

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