Special Talk: Exploring MCMC Simulations
The Slashdot Programming and Design Club is excited to present a special session on Markov Chain Monte Carlo (MCMC) Simulations — a cornerstone technique in statistical physics, Bayesian inference, and computational research.
This talk will be delivered by Shibashis Mukhopadhyay, a 5th-year BS-MS student from the Department of Physical Sciences, IISER Kolkata. He will walk us through the theory behind MCMC methods, explain how to perform such simulations using Python, and share how he applied these techniques in his own research work.
Expect a blend of mathematical depth, coding insights, and a hands-on demonstration!
What You’ll Learn
- Foundations of Markov Chains and Monte Carlo methods
- Understanding the Metropolis-Hastings algorithm
- Python implementation of simple MCMC routines
- Applications of MCMC in real research problems
- Interactive code walk-through and discussion
Event Details
- Venue: Asima Chatterjee Auditorium, TRC 2nd Floor
- Time: 2:00 PM – 3:00 PM
- Audience: Everyone from first-year students learning the basics to fifth-year BS-MS students looking to implement MCMC in their thesis and research.
Whether you’re into computational physics, machine learning, or data-driven research, this talk will give you a solid understanding of one of the most versatile simulation tools in modern science.
Note: Bring your curiosity — and optionally, your laptop if you’d like to follow along with the interactive code demo.