Julia Page

This page is dedicated to the simulation and visualization of mathematical and statistical concepts using the Julia programming language, a modern and high-performance tool designed for scientific computing.

The objective of this page is to transform abstract theory into concrete understanding through interactive and computationally powerful simulations. By leveraging Julia's expressive syntax and computational speed, we aim to create an environment where users can explore and internalize key mathematical foundations with clarity and precision.

This page was started under the guidance of Dr. Amiya Ranjan Bhowmick, whose mentorship and academic vision laid the foundation for promoting intuitive and engaging learning through simulation-based understanding. His insights have been instrumental in shaping this platform into a meaningful and accessible educational resource.

The examples and visualizations provided here are designed to promote deep comprehension by encouraging experimentation, discovery, and critical thinking. Rather than merely illustrating results, they invite learners to actively engage with the underlying structures and processes.

• Large Sample Approximations

• Monte Carlo Integration

• A Gentle Introduction to Statistical Computing using Julia

https://github.com/sujit016/A-Gentle-Introduction-to-Statistical-Computing-Using-Julia