• PHYS 3310

    Statistical Physics
     Rating

    1.44

     Difficulty

    4.33

     GPA

    3.26

    Last Taught

    Fall 2025

    Includes temperature and the laws of thermodynamics; introductory treatments of kinetic theory and statistical mechanics; and applications of Boltzmann, Bose-Einstein, and Fermi-Dirac distributions. Prerequisite: MATH 3255 (preferred) or MATH 3250, and PHYS 2620, or instructor permission.

  • PHYS 3430

    Electricity and Magnetism II
     Rating

    3.58

     Difficulty

    2.75

     GPA

    3.30

    Last Taught

    Fall 2025

    Includes Maxwell's equations; electromagnetic waves and their interaction with matter; interference, diffraction, polarization; waveguides; and antennas. Prerequisite: PHYS 3420.

  • PHYS 3150

    Electronics Laboratory
     Rating

    4.44

     Difficulty

    3.50

     GPA

    3.34

    Last Taught

    Fall 2025

    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.

  • PHYS 2419

    Introductory Physics 2 Workshop
     Rating

    2.09

     Difficulty

    3.52

     GPA

    3.36

    Last Taught

    Fall 2025

    Group problem solving, data acquisition and analysis, and application of physics to real life scenarios in the framework of electricity and magnetism. The course is geared towards STEM majors and required for engineering and physics majors. Co-requisites: PHYS 2415 or 2410. Prerequisite: PHYS 1429

  • PHYS 7010

    Theoretical Mechanics I
     Rating

     Difficulty

     GPA

    3.38

    Last Taught

    Fall 2025

    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.

  • PHYS 7410

    Electricity and Magnetism I
     Rating

     Difficulty

     GPA

    3.38

    Last Taught

    Fall 2025

    A consistent mathematical account of the phenomena of electricity and magnetism; electrostatics and magnetostatics; macroscopic media; Maxwell theory; and wave propagation. Prerequisite: PHYS 7250 or instructor permission.

  • PHYS 1429

    Introductory Physics 1 Workshop
     Rating

    1.91

     Difficulty

    3.51

     GPA

    3.41

    Last Taught

    Fall 2025

    Group problem solving, data acquisition and analysis, and application of physics to real life scenarios in the framework of classical mechanics and thermodynamics. The course is geared towards STEM majors and required for engineering and physics majors. Co-requisites: PHYS 1425 or 1420.

  • PHYS 7610

    Quantum Theory I
     Rating

     Difficulty

     GPA

    3.42

    Last Taught

    Fall 2025

    Introduces the physical basis of quantum mechanics, the Schroedinger equation and the quantum mechanics of one-particle systems, and stationary state problem. Prerequisite: Twelve credits of 3000-level physics courses and MATH 5210, 5220, or instructor permission.

  • PHYS 3110

    Widely Applied Physics
     Rating

    2.83

     Difficulty

    3.00

     GPA

    3.43

    Last Taught

    Fall 2025

    Applications of physical principles to a diverse set of phenomena: order of magnitude estimates, dimensional analysis, material science and engineering, astrophysics, aeronautics and space flight, communications technology, meteorology, sound & acoustics and fluid dynamics. Not all topics will be covered in every course. Three lecture hours. (Y) Prerequisite: PHYS 2620 or instructor permission.

  • PHYS 5630

    Computational Physics I
     Rating

    5.00

     Difficulty

    5.00

     GPA

    3.47

    Last Taught

    Fall 2025

    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.