This course introduces a modern topic in theoretical high energy physics to an advanced undergraduate / beginner graduate student audience. Among the directions which are being explored are the physics …
This is an introductory cosmology course for an advanced undergraduate/beginner graduate audience. This course aims to give a window into the history of our Universe, presented here in reverse order: …
Practical electronics for scientists, from resistors to microprocessors. Prerequisite: Instructor permission.
Group theory is an elegant method based on symmetry to understand complex phenomena in nature. This course is to learn the basic principles of Discrete Group Theory and its application …
Reviews special relativity and coordinate transformations. Includes the principle of equivalence; effects of gravitation on other systems and fields; general tensor analysis in curved spaces and gravitational field equations; Mach's …
Discusses matrices, complex analysis, Fourier series and transforms, ordinary differential equations, special functions of mathematical physics, partial differential equations, general vector spaces, integral equations and operator techniques, Green's functions, group …
Includes reflection and refraction at interfaces, geometrical optics, interference phenomena, diffraction, Gaussian optics, and polarization. Prerequisite: PHYS 2320, 2415, 2610, or an equivalent college-level electromagnetism course; knowledge of vector calculus …
This course is designed to provide an understanding of the physics that underlies technologies such as lasers, optical time/frequency standards, laser gyros, and optical telecommunication. Covers the basic physics of …
This course will study various phenomena in condensed matter physics, including crystallography, basic group theory, x-ray and neutron diffraction, lattice vibrations, electrons in a metal, electronic band theory, electrons under …
Surveys computational methods for problem solving in the physical sciences. Topics include numerical precision and efficiency, solutions of differential equations, optimization problems, Monte Carlo simulation, statistical methods, and data analytics. …