Courses | Physics, B.S.

Course Overview

The following documents outline a suggested course schedule.


Below are some of the courses you’ll have an opportunity to take as a student in this program. Note: This list is intended to give you a quick glimpse into the program’s academic offerings, and should not be used as a guide for course selection or academic advising. For official program requirements see catalog for details.

Major Courses

Principles and theories of the structure and properties of matter including stoichiometry, atomic theory, the periodic table, chemical bonding, molecular structure, nomenclature, chemical reactions, states of matter, gas laws and solutions.

Continuation of General Chemistry I. Subjects include chemical kinetics, equilibrium, thermodynamics, solubility, acidity, electrochemistry, coordination complexes and various special topics.

Limits, differentiation and integration of rational and trigonometric functions, with applications.

Differentiation and integration of logarithmic, exponential and inverse trigonometric functions; various methods of integration; infinite sequences and series; parametric equations, polar coordinates.

Functions of two and three variables, partial differentiation, multiple integration, curves and surfaces in three dimensional space.

First order differential equations, second order linear differential equations, power series solutions, Laplace transforms, systems of first order linear equations.

This course is intended for Chemistry, Physics and Engineering Department majors or anyone else interested in learning to develop their intuition for problem-solving using formal and informal techniques. Involves the use of MATLAB, Excel and other computer tools for data analysis.

Basic principles of physics emphasizing Newtonian mechanics; conservation of energy and momentum; oscillations, fluids and thermodynamics.

The application of the laws and theories of mechanics and thermodynamics through experiment.

Introduction to electrostatics, conductors and currents, magnetic fields, and Maxwell's equations.

Wave theory, sound, geometric optics, interference and diffraction, relativity, wave properties of particles, and introduction to quantum physics.

The application of the laws and theories of electricity and magnetism through experiment.

Use of computation tools using MATLAB and LabVIEW in chemistry, physics and engineering, digital signal analysis and instrument control.

Newtonian mechanics of particles and systems of particles, rigid bodies, oscillating systems, gravitation, moving coordinate systems, Lagrange's and Hamilton's equations.

Introduction to circuit elements, network theorems, response, semiconductor devices, integrated circuits, and the operation and design of analog DC/AC circuits. Also introduces the fundamentals of Boolean logic and digital design. Laboratory work involves extensive construction and analysis of circuits, as well as introduction of soldering and assembly techniques.

This course covers a variety of advanced mathematical techniques essential to the solution of problems in the physical sciences and engineering. Topics include tensors, complex variables, contour integrals, solutions of partial differential equations, boundary-value problems, special functions (such as Bessel functions and Legendre functions), and Fourier series and Fourier and Laplace transforms.

The application of vector calculus and Maxwell's equations in the analysis of static and dynamic electromagnetic waves in dielectrics and conductors.

An introduction to quantum mechanics including 1-D potentials, Schrodinger's equation, the hydrogen atom with spin, Dirac notation, operator formalism, bonding, the solid state and interpretation.

A capstone course for all biochemistry, chemistry, physics, and physical science majors that includes: (1) presentation of a seminar, (2) service learning project and, (3) integration readings and discussion.

A laboratory course in which selected experiments cover several areas of classical and contemporary physics. Emphasis on data collection and analysis techniques.