From: ₹200.00
Computing forms a key component of Numerical Analysis. This workshop aims to develop an understanding of how to translate numerical ideas into efficient code. The programming language used will be Python, though the concepts and techniques are easily transferable to other languages.
Dr. Abhinav Jha is an Assistant Professor in the Department of Mathematics at the Indian Institute of Technology Gandhinagar. His research interests lie in Numerical Analysis and Scientific Computing. In addition to the theoretical analysis of numerical methods, he has a strong interest in their efficient and robust implementation on modern computing architectures. His work includes two large-scale computational projects—one developed in C++ and the other in FORTRAN—focusing on the numerical solution of partial differential equations.
| Day | Module name | Concepts covered | Live sessions - No. of hours | Assessment | Learning outcomes |
| 7/02/26 | Basic Review of Python | Variables, Conditional Statements, Iterative Statements, Function Definition | 1.5 Hours | Code basic Python programs | Learn basics of coding using Python |
| 7/02/26 | Root-Finding Methods | Bisection Method, Fixed-Point Methods, Newton Method | 1.5 Hours | Apply the methods for a set of functions and interpret their behaviour | Learn Solution of Equations in One Variable |
| 8/02/26 | Interpolation | Polynomial Interpolation, Lagrange Interpolation, Newton Divided Difference Methods | 2 Hours | Apply the methods on a given set of data and interpret them | Learn basics of interpolation |
Student – Rs. 236 (Rs. 200 + 18% GST)
Faculty – Rs. 590 (Rs. 500 + 18% GST)
Intended Audience:
UG, PG, and PhD Students. PostDocs/Faculty
Eligibility:
Basics of Pythons are expected. If the students want, the basics can also be covered in the preliminary classes.
Pre - requisite:
Python will be used. It is a free version.
Attendance and Assignment are mandatory for obtaining the certificate.
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