Teaching is the bit in my professional life that I enjoy most. From teaching the first year physics and mathematics courses to wide eyed freshers to teaching advanced physics courses to the die hard physics enthusiast, I relish the challenge of presenting ideas and concepts in physics with as much transparency as is possible.

Semester I, 2024-25

Special Topics in Statistical Mechanics (PHY F423)                                                                                                                                                                    Advanced course in statistical mechanics that covers interacting systems, mean field theory, phase transitions and renormalization group. (Text books: Statistical Mechanics by Kerson Huang, Equilibrium Statistical Mechanics by M. Plischke and B. Bergersen and Principles of Condensed Matter Physics by P. M. Chaikin and T.C. Lubensky.)

Statistical Physics and Applications (PHY F516)                                                                                                                                                                                      A course in equilibrium statistical mechanics for PhD students.  (Text books: Statistical Physics of Particles by M Kardar)

Semester II, 2023-24

Mechanics Oscillations and Waves (PHY F111)                                                                                                                                                                                  The bread and butter course of our department, where we engage the freshers with intermediate mechanics and related topics of waves and oscillations. After a quick revision of fundamental laws and necessary mathematical introduction, advanced topics such as rigid body motion, non-inertial frames, coupled oscillators and Fourier analysis of waves are discussed. (Text book: An Introduction Mechanics by Kleppner and Kolenkow, Introduction to Waves by A P French.)

Theoretical Neuroscience (BITS F317)                                                                                                                                                                                                      A first course in Theoretical Neuroscience that introduces neuronal behavior modelling using non-linear differential equations as well the concepts of encoding and decoding of neural data. (Text books: Introduction to neuronal dynamics by Gerstner et al, Introduction to Theoretical Neuroscience by Dayan and Abbott)

Some of the course taught over the semesters

Physics Lab - 1 (PHY F110)
Mechanics lab that runs in tandem with the course on Mechanics, Oscillations and Waves for undergraduate students. It has an assorted set of 10 experiments exploring various concepts in mechanics. Some of the experiments included are: Gyroscope, Coupled Pendulum, Maxwell's wheel etc.

Classical Mechanics (PHY F211)
Second course on mechanics for the physics masters students. Topics covered includes: Planetary motion, rigid body motion, small oscillations, Lagragian and Hamiltonian formalism, Hamilton Jacobi theory. Text books: Classical Mechanics by H. Goldstien, Introduction to classical mechanics by Landau & Lifshitz )

Computational Physics (PHY F313)
A course that focuses on computational numerical analysis with stress on solving physics problem. The course has got a strong hands on component wherein student use the techniques they learn in computational lab to solve problems from mechanics, electricity and magnetism, quantum mechanics and nonlinear dynamics. (Texts book: A First Course in Computational Physics by P L Devries and J E Hasbun, An Introduction to Computational Physics by Tao Pang)

Electromagnetic Theory-2 (PHY F241)
A second course in electricity and magnetism that look at electromagnetic waves (in a vacuum and media), radiation and special theory of relativity. (Text books: Introduction to Electrodynamics by D J Griffiths, Classical Electrodynamics by D Jackson, Feynman Lectures Vol -2)

Mathematics-2 (MATH F112)
A first year course taken by all engineering and science students dealing with introductory linear algebra and complex analysis. (Text books: Elementary Linear Algebra by S Andrilli and D Hecker, Complex Variables and Applications by Churchill and Brown)

Nonlinear Dynamics and Chaos (BITS F316)
An introductory course focusing on methods of studying nonlinear systems. This enables one to explore the rich dynamical behavior these systems exhibit. The students are introduced to bifurcations, fixed points, limit cycles and chaos in nonlinear system. Throughout the course the focus is on applying the methods learned in understanding the dynamics of various systems that are relevant in science and engineering. (Text book: Nonlinear Dynamics and Chaos by Steven H Strogatz)