Overview of current areas of research in the broad discipline of physics, including the historical context of their development. Describes various career options in physics, including academia, government, and industry. Outlines the college physics curriculum and describes opportunities to participate in research at the university.

Practical electronics for scientists, from resistors to microprocessors. Prerequisite: Instructor permission.

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.

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.

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.