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 lasers and laser beams, nonlinear optics, optical fibers, modulators and optical signal processing, detectors and measurements systems, and optical networks. Prerequisite: PHYS 5310 or instructor permission.

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 an external magnetic field, semiconductors, magnetism and superconductivity. Not only the topics but also the theoretical and experimental techniques that are covered in this course are essential for PhD students as well as advanced Undergraduate students in Physics, Chemistry, Chemical Engineering, and Materials Science and Engineering to excel in their research career.Prerequisite: PHYS 3650 (Quantum Mechanics I) or an equivalent course

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. Tools for data visualization and use of libraries in both C/C++ and Python will be explored. Prerequisites: PHYS 2410 or PHYS 2415, PHYS 2620, and programming experience in Python and/or C.

Advanced topics in computational physics including numerical methods for partial differential equations, Monte Carlo modeling, advanced methods for linear systems, and special topics in computational physics. Prerequisite: PHYS 5630, or instructor permission.

Studies subatomic structure; basic constituents and their mutual interactions.

An introduction to quantum computation, a modern discipline looking for ways to harness the power of quantum mechanics to gain exponential speedup of computations and simulations. We will go through the basic algorithms, discuss error correction and various physical platforms suggested for a possible implementation of such a computer. The course assumes a knowledge of linear algebra, basic probability and familiarity with quantum mechanics.

The statics and dynamics of particles and rigid bodies. Discusses the methods of generalized coordinates, the Langrangian, Hamilton-Jacobi equations, action-angle variables, and the relation to quantum theory. Prerequisite: PHYS 3210 and MATH 5220.

Discusses thermodynamics and kinetic theory, and the development of the microcanonical, canonical, and grand canonical ensembles. Includes Bose-Einstein and Fermi-Dirac distributions, techniques for handling interacting many-particle systems, and extensive applications to physical problems.

A consistent mathematical account of the phenomena of electricity and magnetism; electrostatics and magnetostatics; macroscopic media; Maxwell theory; and wave propagation. Prerequisite: PHYS 7250 or instructor permission.

Development of the theory of special relativity, relativistic electrodynamics, radiation from moving charges, classical electron theory, and Lagrangian and Hamiltonian formulations of electrodynamics. Prerequisite: PHYS 7420 or instructor permission.