1) Advanced Physics Lab (Core):
Instructor: Abhishek Dhar, Vijay Kumar, Amit Apte and T.G. Ramesh
Course description:
- Brownian Motion: MSD of tagged particles and determination of Avogadro’s number Number fluctuations.
- Vibrational modes in a box: Observation of normal mode frequencies and wavefunctions in a box excited by sound waves.
- Physics of a radiometer: a set of experiments designed to measure the dependence of radiometer vane speed on various parameters such as intensity and colour of radiation.
2) Numerical Methods for Physics & Astrophysics (Core):
Instructor: Amit Apte
Course description:
- Floating-Point Representation and Errors
- Roots of Equations
- Optimization
- Interpolation and Numerical Differentiation
- Systems of Linear Equations
- Ordinary Differential Equations
- Monte Carlo Methods and Simulation
Main textbooks:
- Numerical analysis: mathematics of scientific computing by David Kincaid and Ward Cheney
- Introduction to numerical analysis by J. Stoer and R. Bulirsch
3) Data Assimilation and Dynamical Systems (Elective):
Instructor: Amit Apte
Course description:
- quick intro (or recap) for nonlinear dynamics: bifurcations, unstable manifolds and attractors, Lyapunov exponents, sensitivity to initial conditions and concept of predictability
- Markov chains, evolution of probabilities (Fokker-Planck equation), state estimation problems
- an introduction to the problem of data assimilation (with examples)
- Bayesian viewpoint, discrete and continuous time cases
- kalman filter (linear estimation theory)
- least squares formulation (possibly PDE examples)
- particle filtering and MCMC sampling methods
- advanced topics (if time permits): parameter estimation, relations to control theory, relations to synchronization, etc.