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.

The course begins by covering the fundamentals of analog and digital electronics, including the use of transistors, FET's, operational amplifiers, TTL, and CMOS integrated circuits. Following this students conduct projects with modern microcontroller boards (Arduino and Raspberry Pi) using the concepts and the experience gained from the prior fundamentals. Six laboratory hours. Prerequisite: PHYS 2040 or PHYS 2419.

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.

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.

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.