Master Scientific Computing with Python: Week 11 NPTEL Answers (July 2023) ๐
Explore comprehensive solutions for Week 11 of Scientific Computing Using Python on NPTEL. Enhance your skills in scientific computation with MY SWAYAM's July 2023 course insights.

MY SWAYAM
120 views โข Oct 7, 2023

About this video
Scientific Computing Using Python Week 11 || NPTEL Answers || MY SWAYAM || July 2023
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.
Please do like, share and subscribeโค
Assignment Link : https://onlinecourses.nptel.ac.in/noc23_ph46/unit?unit=35&assessment=57
#nptel
#scientific #computing #python
#assignment
#solved
#education
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.
Please do like, share and subscribeโค
Assignment Link : https://onlinecourses.nptel.ac.in/noc23_ph46/unit?unit=35&assessment=57
#nptel
#scientific #computing #python
#assignment
#solved
#education
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Views
120
Likes
1
Duration
4:01
Published
Oct 7, 2023
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