Electromagnetism: Coulomb’s law, Gauss’ Law, Ohm’s Law, Ampere’s Law, Maxwell’s equations, magnetic materials, corpuscular & wave properties of light. Special Theory of Relativity, Length Contraction & Time Dilation, Mass-Energy Relation, Photo Electric Effect, Quantum Theory, X-rays and X-ray Diffraction, Compton Effect, Dual Nature of Matter & Radiation, Atomic Structure, Nuclear Dimensions, Electron Orbits, Atomic Spectra, Bohr Atom, Radioactive Decay, half-life, (and Rays, Isotopes, Nuclear Binding Energy), Fundamentals of Solid State Physics, Lasers, Holography.
Course Catalogue
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.
Operations Management (OM) is concerned with the management of resources and activities that produce and deliver goods and services for customers. In addition to explaining the concept of Operations as a Competitive Weapon, Operations Strategy and Process Management some of the major tools of Operations Management to be covered are: Total Quality Control, Statistical Process Control, Location, Layout, Capacity, Supply-Chain Management and Inventory Management, Resource Planning and Scheduling.
This course focuses on the quality function, its implementation; and cost and management in both manufacturing and service industries. The course provides students with a set of quality concepts and tools and the knowledge required for their application in quality planning quality improvement and quality control.
The course is designed to address issues related to transportation and shipment of goods and also maintenance and supervision of logistics required for the overall smooth operation of the day to day activity of the organization.
Project management is the discipline of initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria. This course is designed for the MBA students in such a way that enables them to learn how to initiate, plan, and execute a project that meets objectives and satisfies stakeholders.
This course will expose students to the challenges involved in managing supply chain and understand the complexity of inter-firm and intra-firm coordination. In addition to the basic challenges and trade-offs associated with reducing costs and increasing responsiveness, students will also contribute to other supply chain issues such as sourcing and the need for greater transparency in supply chains.
This course will cover the role that procurement and inventory management plays in the business world. The course is designed to teach the students the science and arts of efficient and cost-effective inventory management. The raw material, work in process, and the finished goods inventory management in entirety are dealt with in this course.