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The application of physical principles to biological systems is an exciting and rapidly evolving feld of research. Methods of equilibrium and non-equilibrium statistical physics, stochastic processes, non-linear dynamics and polymer physics, among others have helped understand the guiding principles of a variety of biological processes. In this course,we will attempt to provide an introduction to the physics of biological systems using theoretical tools, with examples from diverse areas of biology such as pattern formation, low Reynolds number fows, cytoskeleton and motors and transport in cells, gene expression and chromatin organisation, among others.       INTENDED AUDIENCE : All Engineering students PREREQUISITES : Statistical Mechanics (Preferred, not a hard prerequisite) INDUSTRY SUPPORT : NA


COURSE LAYOUT Week 1 : Introduction to Biophysics, Spatial and temporal scales Week 2 : Random walks and diffusion in biology, FRAP, cell signaling Week 3 : Diffusion and capture processes, Mean capture times Week 4 : Fluid flows in biology, viscosity and Navier Stokes equation Week 5 : Life at low Reynolds number, Scallop theorem and bacterial flagella Week 6 : Equilibrium Statistical Mechanics: Energy, entropy, free energy Week 7 : Two-state systems, cooperative binding, Haemoglobin Week 8 : Polymers and biopolymers, Entropic elasticity, persistence length Week 9 : Force spectroscopy, HP model of protein folding, Chromosome models Week 10 : Life in crowded environments, Depletion forces Week 11 : Biological dynamics and rate equations, motors and filaments Week 12 : Pattern formation in bology, Reaction-diffusion systems