Approximately five experiments drawn from the major fields of physics. Introduces precision apparatus, experimental techniques, and methods of evaluating experimental results. Outside report preparation is required. Six laboratory hours. Prerequisite: PHYS 2640 or PHYS 3140

Group problem solving, data acquisition and analysis, and application of physics to real life scenarios in the framework of electricity and magnetism. The course satisfies the requirements for pre-health students. Co-requisites: PHYS 2020. Prerequisite: PHYS 2030

This course provides an introduction to the Python programming language with applications to common problems in the science and engineering fields. It emphasizes three core skills: analyzing data, simulating data, and visualizing data. No previous programming or computer experience is required. Prerequisite: MATH 1210 or equivalent, 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

Introduces the quantization of field theories, including those based on the Dirac and Klein-Gordon equations. Derives perturbation theory in terms of Feynman diagrams, and applies it to simple field theories with interactions. Introduces the concept of renormalization. Prerequisite: PHYS 7620.

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.

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 of extra dimensions, and a unified treatment of gravity and electromagnetism in the context of string theory. Prerequisite: Physics 3210 (Classical Mechanics), 3430 (Electricity & Magnetism II) and 3660 (Quantum Mechanics II), or permission of the instructor.

Studies nonlinear optical phenomena; the laser, sum, and difference frequency generation, optical parametric oscillation, and modulation techniques. Prerequisite: PHYS 5310 and exposure to quantum mechanics.

Develop and extend the techniques of introductory physics and calculus to solve more complicated problems. The course covers topics in mechanics, fluids, thermodynamics, electromagnetism, waves, and optics. Recommended prerequisites: PHYS 1420 or 1425; MATH 2310. Recommended co-requisites: PHYS 2410 or 2415; MATH 3250.

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.