Waves and Oscillation: Different equations of SHM, total energy and average energy, combination of SHM, spring mass systems, tensional pendulum; Two-body oscillation, reduced mass, damped oscillation, forced oscillation, resonance, progressive wave, power and intensity of wave, stationary wave, group and phase velocity. Optics: Defects of imaging, spherical aberration, astigmatism, coma, distortion, curvature, chromatic aberration. Theories of light, interference of light, Young’s experiment, Fresnel prism, and interference in thin films. Newton’s rings, interferometers, diffraction by single slit, diffraction from a circular aperture, resolving power of optical instruments, diffraction at double slit and N-slits, diffraction grating. Polarization and polarized light. Brewster’s law, polarization by double refraction, Nicol prism, optical activity and Polarimeters. Thermal Physics: Heat and work- the first law of thermodynamics and its applications; Kinetic Theory of gases Kinetic interpretation of temperature, specific heats of ideal gases, equipartition of energy, mean free path, Maxwell’s distribution of molecular speeds, reversible and irreversible processes, Carnot’s cycle, second law thermodynamics, Carnot’s theorem, entropy, Thermodynamic functions, Maxwell relations, Clausius and Clapeyron equation.

# Course Catalogue

In this course students will perform experiments to verify practically the

theories and concepts learned in PHY 101.

Waves and Oscillation: Simple Harmonic Motion, total energy and average energy of SHM, combination of SHM, spring mass systems, tensional pendulum; Two body oscillation, reduced mass, damped oscillation, forced oscillation, resonance, progressive wave, power and intensity of wave, stationary wave, group and phase velocity. Nuclear radiation and Radioactivity, Fission and Fusion, Alpha, beta and gamma ray. Bohr’s atom model, Wave and particle nature of light, Photoelectric effect, Compton Effect, de Brogglie’s hypothesis, Uncertainty principle, Quantum mechanics and Schrödinger equation.

Electricity, Magnetism: Electrical Charge, Coulomb’s law, electric field, dipole and flux of electric field and flux density, Gauss’s law, electric potential, potential energy. Magnetic field, Magnetic flux and flux density, Ampere’s law, Biot Savart’s law, Faraday’s law of Induction, Inductance, Energy in the Magnetic field. Optics: Defects of images, spherical aberration, astigmatism, coma, distortion, curvature, chromatic aberration. Light, interference of light, Young’s experiment, Fresnel prism, interference. Newton’s rings, interferometers, Diffraction, resolving power of optical instruments, diffraction grating; Polarization and polarized light. Brewster’s law, polarization by double refraction, Nicol prism, optical activity and Polarimeters. The course includes lab works based on theory taught.

Statistics:

Introduction to Statistics: what is statistics, statistical data, statistical methods, scope and limitation of statistics, Populations and Samples, collection and presentation of data, Grouped Data and Histograms, Some Graphical Methods: bar charts, time plots, Pie charts, scatter plots, box and Whisker plots, Measure of Central Tendency: mean , median and mode, Measure of Variations, Measure of Skewness, Moments and Kurtosis, difference between Variation and Skewness, Correlation and Regression Analysis: significance of the study of correlation, types of correlation, difference between correlation and regression Analysis, Sampling and Sampling Distributions, Survey Sampling Methods.

Probability:

Probability: meaning of probability, classical definition of probability, statistical probability, some theorems in probability, distribution function, probability distributions:

Binomial, normal and exponential distributions.

Introduction. Sets and probability. Random variable and its probability distribution. Treatment of grouped sampled data. Some discrete probability distribution. Normal distribution. Sampling theory. Estimation theory. Tests of hypothesis. Regression and correlation. Analysis of variance.

Statistics:

Introduction to Statistics: what is statistics, statistical data, statistical methods, scope and limitation of statistics, Populations and Samples, collection and presentation of data, Grouped Data and Histograms, Some Graphical Methods: bar charts, time plots, Pie charts, scatter plots, box and Whisker plots, Measure of Central Tendency: mean , median and mode, Measure of Variations, Measure of Skewness, Moments and Kurtosis, difference between Variation and Skewness, Correlation and Regression Analysis: significance of the study of correlation, types of correlation, difference between correlation and regression Analysis, Sampling and Sampling Distributions, Survey Sampling Methods.

Probability:

Probability: meaning of probability, classical definition of probability, statistical probability, some theorems in probability, distribution function, probability distributions:

Binomial, normal and exponential distributions.