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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video Based

Course Overview

The Scientific Computing Using Python certification course delves into essential computational methods vital for Science and Engineering postgraduates. Focused on Python programming, it covers interpolation, integration, differentiation, ODE and PDE solvers, basic linear algebra, and Monte Carlo techniques. With a 12-week duration, it empowers students for diverse applications in various industries.

Tailored for advanced undergraduates and postgraduates in Physics, Mathematics, Mechanical, Aerospace, Computer Science, and Chemical Engineering, the Scientific Computing Using Python certification by Swayam mandates a foundational grasp of calculus, linear algebra, and differential equations. It equips learners with indispensable tools for computational challenges in scientific and engineering domains.

Also Read: Online Python Certification Courses

The Highlights

Elective Online Course
12 Weeks Duration
Offered by IIT Kanpur

Programme Offerings

Certificate of completion
Practical Learning
Hands-on Experience

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Kanpur

The Scientific Computing Using Python certification fees is free. However, if you want a certificate, you must register and take the proctored exam at designated centres, which is optional and comes with a fee of Rs 1000.

Scientific Computing Using Python Certification Fee Structure

Particulars	Total Fees
Scientific Computing Using Python (exam)	Rs 1000/-

Eligibility Criteria

Academic Qualifications

The Scientific Computing Using Python certification course is intended for postgraduate students of Science and Engineering.

Certification Qualifying Details

To receive the Scientific Computing Using Python certification by Swayam, you need a minimum average assignment score of 10/25 and an exam score of 30/75.

What you will learn

After completing the Scientific Computing Using Python certification syllabus, you will acquire a comprehensive understanding of computational methods, beginning with an introduction to the Python programming language, recognized as a fundamental tool in scientific and engineering applications.

Upon completion of the Scientific Computing Using Python training, you will delve into crucial topics such as interpolation, integration, differentiation, and the solution of ordinary and partial differential equations (ODE and PDE). You will also cover essential aspects of basic linear algebra and Monte Carlo techniques, providing you with a well-rounded skill set.

Who it is for

Aerospace EngineerData ScientistMechanical EngineerFinancial AnalystResearcher

The Scientific Computing Using Python online course is suitable for those seeking to enhance their computational skills for application in various industries. This course is particularly beneficial for:

Admission Details

Follow these steps to join the Scientific Computing Using Python classes:

Step 1: Browse the URL below:

https://onlinecourses.nptel.ac.in/noc23_ph46/preview

Step 2: Click on the “Sign-in/ Register” button.

Step 3: Fill out the necessary details and submit the form

The Syllabus

Module 1: About Computers
Module 2: Python variables
Module 3: Python arrays

Module 1: Python Control Structure
Module 2: Python functions
Module 3: Programming style

Module 1: Plotting
Module 2: Data input/output
Module 3: Error analysis and non-dimensionalization

Module 1: Lagrange Interpolation
Module 2: Splines

Module 1: Numerical Integration: Newton Cotes
Module 2: Gaussian quadrature
Module 3: Multidimensional and misc integration

Module 1: Differentiation
Module 2: ODE solvers: Euler method
Module 3: ODEs: Implicit schemes

Module 1: ODEs: Higher-order method
Module 2: ODEs: System of equations, Stiff equations
Module 3: Fourier Transforms

Module 1: Spectral method (PDE solvers): Diffusion equation
Module 2: Spectral method: Wave and Burger equation solver
Module 3: Spectral: Navier-Stokes equation solver
Module 4: Spectral: Schrodinger equation solver

Module 1: Finite Difference (FD) (PDE solvers): Diffusion equation
Module 2: FD method: Wave and Burger equation solver
Module 3: FD Method: Navier-Stokes equation solver
Module 4: FD Method: Schrodinger equation solver

Module 1: Solving Nonlinear Equations (Root Finders)
Module 2: Boundary value problems (Shooting method)
Module 3: Eigenvalue solver for diff equations

Module 1: Laplace equation solvers
Module 2: Laplace equation solvers
Module 3: Poisson equation solvers

Module 1: Linear algebra: Solution of linear equations
Module 2: Linear algebra: Eigenvalues and eigenvectors
Module 3: Intro to Monte Carlo method
Module 4: Summary

Evaluation process

The Scientific Computing Using Python certification offers an optional exam. Your final score is determined by averaging the best 8 out of 12 assignments (25%) and your proctored exam score (75%).

Instructors

IIT Kanpur Frequently Asked Questions (FAQ's)

1: What are the prerequisites for the Scientific Computing Using Python certification?

A basic understanding of calculus, linear algebra, and ordinary and partial differential equations is required. While not mandatory, a basic knowledge of computation is recommended.

2: Is the Scientific Computing Using Python online course suitable for undergraduate students?

Yes, the course is designed for postgraduate students, but advanced undergraduate students in fields like Physics, Mathematics, Mechanical, Aerospace, Computer Science, and Chemical Engineering, are also encouraged to enroll.

3: What programming language will be used in the Scientific Computing Using Python training?

The course primarily focuses on the Python programming language, recognized as the de facto language for scientific and engineering applications.

4: How will the Scientific Computing Using Python online course benefit my career?

This course equips you with practical computational skills highly valued in industries such as Computational Fluid Dynamics, Computational Electrodynamics, Data Sciences, and Finance.

5: What is the industry support for this course?

Companies involved in Computational Fluid Dynamics, Computational Electrodynamics, Data Sciences, Finance, and related sectors recognize and support this course, indicating its relevance to real-world applications and industry demands.