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• PHYS 331: Mathematical Methods of Physics and Engineering

  3.00 Credits

  Slippery Rock University of Pennsylvania

  
  The course covers a broad spectrum of mathematical methods relevant to physics and engineering. The emphasis is on the use of methods rather than on proofs and derivations. Topics include vector analysis, complex variables, Fourier and Laplace transforms, linear algebra, and some boundary value problems. Dual-listed with MATH 331. This course may be counted as a physics course or as a mathematics course, but not both.
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• PHYS 371: Physical Optics

  3.00 Credits

  Slippery Rock University of Pennsylvania

  
  This is a physical optics course dealing with the nature and transmission of light. Topics covered will include the propagation of light, coherence, interference, diffraction, Maxwell's Equations, optics of solids, thermal radiation, optical spectra and lasers.
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• PHYS 375: Thermal and Statistical Physics

  3.00 Credits

  Slippery Rock University of Pennsylvania

  
  This course focuses on the fundamental concepts of thermodynamics, the kinetic theory of gases, and the statistical approach to understanding physical systems. Emphasis is placed on developing problem-solving skills, with application to both physics and engineering.
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• PHYS 381: Advanced Physics Laboratory

  2.00 Credits

  Slippery Rock University of Pennsylvania

  
  An introduction to the techniques of experimental physics. Experiments are selected from a wide range of fields in physics that are of a more advanced level than those given at the general or intermediate level. Emphasis includes scientific instrumentation and data collection, scientific computing, lab procedures and safety, data analysis and interpretation, and technical communication.
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• PHYS 382: Optics Laboratory

  2.00 Credits

  Slippery Rock University of Pennsylvania

  
  This course will provide in depth experience in laboratory techniques, data acquisition and analysis in the field of Optical Physics. Experiments are of a more advanced grade than those given at the general or intermediate level. Each experiment will be an extended piece of careful, thorough work, culminating in a detailed report. Appropriate for students majoring in the Biological, Earth, Environmental, Health, Mathematics and Physical sciences.
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• PHYS 385: Computational Physics

  3.00 Credits

  Slippery Rock University of Pennsylvania

  
  This course introduces computational methods in physics, focusing on numerical techniques, data analysis, and machine learning. Students will learn to implement algorithms for numerical integration, differential equations, Fourier analysis, and Monte Carlo simulations while exploring applications in classical mechanics, quantum systems, and statistical physics as well as predictive modeling. The integration of data science techniques, such as data visualization and analysis, with machine learning models enables students to tackle predictive and analytical tasks in physics. Practical applications and in-class projects prepare students for research and industry, bridging physics and modern computational tools.
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• PHYS 390: Experimental

  1.00 - 3.00 Credits

  Slippery Rock University of Pennsylvania

  
  A unique and specifically focused course within the general purview of a department which intends to offer it on a "one time only" basis and not as a permanent part of the department's curriculum.
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• PHYS 395: Workshop

  1.00 - 6.00 Credits

  Slippery Rock University of Pennsylvania

  
  A workshop is a program which is usually of short duration, narrow in scope, often non-traditional in content and format, and on a timely topic.
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• PHYS 398: Selected Topics

  1.00 - 3.00 Credits

  Slippery Rock University of Pennsylvania

  
  A Selected Topics course is a normal, departmental offering which is directly related to the discipline, but because of its specialized nature, may not be able to be offered on a yearly basis by the department.
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• PHYS 410: Electricity and Magnetism

  3.00 Credits

  Slippery Rock University of Pennsylvania

  
  Electric fields and potentials of charge distributions and polarized materials, magnetic fields and vector potentials of current distributions and magnetized materials; electric and magnetic energies and application of Maxwell's equations.
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