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EP 411 Analytical Techniques (Autumn 2018-19)

Instructor:  Prof.  Kantimay Das Gupta Course Name:  Analytical Techniques ( EP 411 ) Course Type:  Theory (Core) Credits:  6 Pre-requisites:   Introduction to Condensed Matter Physics, Quantum Mechanics 2 Course Content:   X-Ray Diffraction - scattering, structure factors, form factors, line broadening, data analysis, small angle diffraction, x-ray reflections, reciprocal space maps. Electron diffraction - penetration depths, electrostatic and magnetic lenses, Laue zones, Kikuchi lines, data analysis. Neutron diffraction - structure factor, penetration depths and characteristics of diffraction data. Raman and Brillouin Scattering - motivation, cause, dynamic structure factor. Photoelectron spectroscopy - XPS, Auger process, UPS, ARPES, examples in determining band structure. NMR spectra - chemical shifts, isomer configurations, Bloch equations, lattice relaxation constants.  Books: XRD: Walter Schottky Institut - High...

CS 419 Introduction to Machine Learning ( 2018-2019 )

I nstructor:  Sunita Sarawagi Course Name:  Introduction to Machine Learning(  CS419  ) Course Type:   Theory (  Minor  ) Credits:  6 Prerequisites:  None Course Content:   Decision tree classification(Pruning and Regression Trees), Probabilistic classifiers(LDA, QDA, Naive Bayes, Logistic), Hyperplane classifiers(Loss functions), Convex Optimization, Feedforward Neural networks, Convolution Neural Networks, Recurrent Neural Networks, Clustering(k-means, EM algorithm), Combining models(Bagging and boosting), Support vector machines, Overview of Markov Decision Process and Reinforcement Learning.  Books/Other Resources: Understanding Machine Learning. Shai Shalev-Shwartz and Shai Ben-David. Cambridge University Press. 2017, Pattern recognition and machine learning by Christopher Bishop, Springer Verlag, 2006, T. Mitchell. Machine Learning. McGraw-Hill About Lectures: There was no attendance policy howe...

EE 610 Image Processing ( 2018-2019 )

Instructor:  Amit Sethi Course Name:   Image Processing  (  EE610  ) Course Type:   Theory (  Elective  ) Credits:  6 Prerequisites: None Course Content:   Introduction to imaging File, Intensity Transform and Spatial Filtering, Frequency Filtering, Image Restoration, Image Interpolation, Colour Image Processing, Wavelet analysis of images, Image compression, Morphological operations, image segmentation, image representation, Object recognition Books/Other Resources: Digital Image Processing – By Gonzalez & Woods The book was followed to the teeth. About Lectures: Regular attendance was taken in the lectures, but it wasn't graded. At the start of every topic, the prof would lay the basic foundation (the math, associated notations and concepts) on the black board and then later switch to slides to show the results on images and summarize the theory. The lectures were generally easy to follow an...

Ep 309 Photonics ( 2018-2019 )

Instructor:  Dinesh Kabra Course Name:   Photonics ( EP309 ) Course Type:   Theory ( Core ) Credits:  6 Prerequisites:   Optics - Physics Core (Light prereq) Course Content:   Mirror waveguides, Graded index waveguide, optical fibres, planar and spherical resonator optics, Laser amplifier, Laser, Semiconductor Photon Sources, Semiconductor Photon Detectors Books/Other Resources: Fundamentals of Photonics by Bahaa E. A. Saleh and Malvin C. Teich, Laser Fundamentals by William T. Silfvast  The book was more than sufficient for a thorough understanding . Tutorials/ Exams/ Grading: There were assignments that we would casually announce, and ask for submission (whether they were ever checked and added into final grades is something that only he knows). He did ask questions the assignment questions in the exams though. Difficulty of assignments- Easy to moderate.  Exams - 2 quizzes(10 each), 1 midsem(30), 1 endsem(5...

PH505 Introduction to Nuclear and Particle Physics ( 2018-2019 )

Instructor:  Sadhana Dash Course Name:   Introduction to Nuclear and Particle Physics ( PH505 ) Course Type:  Theory ( Core ) Credits:  6 Prerequisites: Classical scattering theory, perturbation theory, electromagnetism Course Content:   Nuclear structure, Shell model, inter-nucleon forces, Scattering theory, Classification of Elementary Particles, Forces and Force carriers, Symmetries in nature Books/Other Resources: Nuclear Physics by Kenneth Krane, Elementary Particle Physics by David Griffiths Alexander Belyaeev's site at the University of Southampton Lectures/Tutorials: Primarily blackboard-based. There were some slides uploaded for deuteron theory. There were very few tutorials which were solved in class Pro tip: There are no formula sheets, so you're not going to remember everything unless you work through it once on your own, especially derivations Advanced follow-up courses ( Courses that can b...

EP 413 Advanced Statistical Mechanics ( 2018-2019 )

Instructor:  Amitabh Nandi Course Name:   Advanced Statistical Mechanics (EP413) Course Type:  Theory (  Honours / Elective ) Credits:  6 Prerequisites:   No formal prerequisites, but a basic knowledge of statistical mechanics is assumed. Course Content:   Part 1: Stochastic processes - Markov processes, Chapman-Kolmogorov equations, master equation, solution techniques for various master equations, W-matrix formalism, Langevin equation, Fokker-Planck equation, Ito and Stratonovich conventions of stochastic calculus, diffusion and first-passage problems. Part 2: Critical phenomena - Phase transitions, critical exponents, Yang-Lee theorems, lattice gas model, 1D Ising model and transition matrix formalism, duality relation for the 2D square lattice Ising model, mean field theories, Landau Ginzburg statistical field theory, saddle point approximation, Gaussian model, scaling hypothesis, renormalisation group (RG), position space RG...

EP313 Optics and Spectroscopy Lab (2018-19)

Instructor: B.P.Singh/T Kundu Course Name:   Optics and spectroscopy lab (Physics Lab III, EP313) Course Type:  Lab (Core) Credits:  3 Prerequisites:   None Course Content:   Experiments with lasers: YDSE, Diffraction, spatial coherence, interferometry Soectroscopy: Fine structure splitting, rotational, vibrational spectroscopy, calculating bond lengths Books: Uploaded study material Exams and Grading: Laser lab: Only final journal submission has marks Spectroscopy lab : Viva, preparation for experiment has marks Journal, endsem quiz and endsem lab exam Personal Comments: In the spectroscopy lab, you actually perform experiments about the material studied in the atomic and molecular physics course, which is a great experience. Laser experiments are also very cool, however a bit more dofficult to set up. Respondent:   Viraj Karambelkar