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.

A study of the physics concepts behind the motion of spinning and curving projectiles in worldwide sports such as soccer, tennis, basketball, baseball, football, etc. and rolling and sliding balls/diska along a flat surface. Basic explanations include utilizing kinematics, gravity, friction, air flow, and Newton's Laws. Learn about hang time, topspin, dimples,drag crisis, sideways forces, least energy launch angle, jumping, and crouching.

Selected experiments in mechanics, thermodynamics, electricity and magnetism, optics, and modern physics. One lecture hour and four laboratory hours per week. Prerequisites: PHYS 1429, PHYS 2419; co-requisite: PHYS 2620.

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.

Individual study of topics in physics not normally covered in formal classes. Study is carried out under the tutelage of a faculty member with whom the requirements are agreed upon prior to enrollment. (S-SS) Prerequisite: Instructor permission

A research project on a topic in physics carried out under the supervision of a faculty member culminating in a written report. May be taken more than once. (S-SS) Prerequisite: Instructor permission.

First and second year students enrolled in the Physics PhD program are required to take Physics Colloquium in their first and second years of study.

Lectures on topics of current interest in physics research and pedagogy. May be repeated for credit. 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 to Condensed Matter Physics. Representation theory, characters and basis functions of a group, and group theory in quantum mechanics will be discussed to learn the basic principles, and a few applications will be discussed. Prerequisite: PHYS 3650 or CHEM 3410.