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3.50
Spring 2026
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.
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3.51
Spring 2026
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.
2.05
3.36
3.54
Spring 2026
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
4.08
4.25
3.55
Spring 2026
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.
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3.62
Spring 2026
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.
5.00
4.00
3.69
Spring 2026
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.
4.33
4.00
3.69
Spring 2026
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.
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3.71
Spring 2026
Applies field theory techniques to quantum electrodynamics and to the renormalization-group description of phase transitions. Introduces the path integral description of field theory. Prerequisite: PHYS 8630.
4.30
2.00
3.75
Spring 2026
This course teaches how to use the computer to solve quantitative problems. This involves learning the skills to write computer programs dedicated to certain tasks, to visualize data graphically, to use scientific software, and to learn other practical skills that are important for a future career in the sciences.
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3.82
Spring 2026
The description and basic theory of the electronic properties of solids including band structure, electrical conduction, optical properties, magnetism and super-conductivity. Prerequisite: PHYS 7620 or instructor permission.
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