MATH 096. Bridge Course for Business. 0 Credits.

A preparatory course for incoming business students with marginally non-qualifying scores on the Mathematics Placement Assessment. Topics include algebra fundamentals, functions and their graphs, exponential and logarithmic functions, and Excel spreadsheets. Students must earn a passing grade to qualify for enrollment in MATH 153. By invitation.

MATH 099. Bridge Course For Science/Engi. 0 Credits.

Designed for incoming science and engineering students with marginally non-qualifying scores on the Mathematics Placement Assessment. Topics include algebra basics, functions and their graphs, expoential and logarithmic functions, trigonometry, and geometric foundations such as lines and distance. A passing grade is required for placement into MATH 185 (Calculus I). By invitation.

MATH 100. Pre-Calculus Mathematics. 4 Credits.

Preparation for calculus and further study in STEM disciplines. Topics include algebraic and transcendental functions, trigonometry, analytic geometry, and foundational concepts such as set theory equations. Emphasis is placed on understanding function behavior and graphical representations. Meets hours per week.

MATH 111. Pre-Calculus for Business Students. 4 Credits.

Preparation for business calculus through a focused review of algebra, functions, and analytic geometry. Topics include exponential, logarithmic, and polynomial functions, with applications relevant to business contexts. Meets four hours per week. Fall.

MATH 151. Topics in Modern Mathematics. 3 Credits.

An introduction to practical mathematical topics of particular interest to students in the humanities or social sciences. Possibilities include but are not limited to the mathematics of social choice, consumer mathematics, mathematical modeling and statistics. Additional topics may be introduced as time permits.

MATH 153. Finite Mathematics for Business Decisions. 3 Credits.

Survey of business applications. Topics include financial mathematics: simple and compound interest, annuities and amortization of loans; linear optimization: solving systems of linear equations and matrix algebra; probability: elementary counting techniques, odds, and expected value. Prerequisite: A satisfactory score on the mathematics placement exam or a grade of C or better in MATH 111.

MATH 154. Calculus for Business Decisions. 3 Credits.

An introduction to differential and integral calculus with applications in business and economics. Topics include limits, derivatives of polynomial, rational, exponential,and logarithmic functions, optimization, and basic integration. Emphasis is placed on modeling and decision-making contexts. Prerequisite: MATH 153.

MATH 155. Calculus for the Life Sciences I. 4 Credits.

Limits, continuity, exponential/logarithmic functions differentiation/antidifferentiation. An introduction to the definite integral. Meets four hours per week. Prerequisite: A satisfactory score on the mathematics placement exam or a grade of C or better in MATH 100.

MATH 156. Calculus for the Life Sciences II. 4 Credits.

Applications chosen from the life sciences, including population, decay, growth models, stability, and matrix methods. Volumes of solids, integration techniques, difference/differential equations. Meets four hours per week. Prerequisite: A grade of C or better in MATH 155.

MATH 157. Foundations of Data Science. 3 Credits.

Foundations of data science based on computation, statistical inference, and interpretation for real-world problems. This course introduces students to techniques in data science with real data. Starting from the basics of programming for data applications, followed by statistical inference and concluding with interpretation of the insights, communication, and limitations of the results, this course provides a hands-on introduction to the foundations of data science using real-world economic, medical, geographical, and social network data.

MATH 158. Introduction to Mathematical Computation. 3 Credits.

Introduction to mathematical problem-solving employing modern software used for mathematical modeling in industry and research. Numerical and symbolic computation including problems from calculus. A variety of problems arising in mathematics, science, and engineering. Spring. Prerequisite: A grade of C or better in CMPT 101 and Calculus I (MATH 155 or MATH 185 or MATH 187).

MATH 185. Calculus I. 4 Credits.

The first course in the calculus sequence for STEM majors. Topics include limits, continuity, derivatives, applications of differentiation, transcendental functions, and an introduction to definite integrals and the Fundamental Theorem of Calculus. Meets four hours per week. Prerequisite: A satisfactory score on the Mathematics Placement Assessment or a grade of C or better in MATH 100.

MATH 186. Calculus II. 4 Credits.

A continuation of Calculus I. Topics include applications of the definite integral, advanced techniques of integration, improper integrals, infinite sequences, and series. Meets four hours per week. Prerequisite: A grade of C or better in Calculus I ( MATH 155, MATH 185, or MATH 187).

MATH 187. Honors Calculus I. 4 Credits.

The course in an enriched, fast-paced calculus sequence for highly motivated STEM students. Covers the material of Calculus I with greater theoretical depth and more advanced applications. Topics include limits, continuity, derivatives, transcendental functions, and the Fundamental Theorem of Calculus. Meets four hours per week. Fall. Prerequisite: Students selected by the instructor.

MATH 188. Honors Calculus II. 4 Credits.

Honors equivalent to Calculus II. Rigorous development of applications of the definite integral, integration techniques, improper integrals, and infinite sequences and series. Meets four hours per week. Spring. Prerequisite: A grade of C or better in MATH 187 or permission of the instructor.

MATH 221. Mathematics for the Elementary School Teachers I. 3 Credits.

This is a course for prospective teachers in elementary school. The content and method will follow the current standards of the National Council of Teachers of Mathematics for the elementary level. Topics include tools for problem solving, numeration systems, number theory, and algebra. Fall.

MATH 222. Mathematics for the Elementary School Teachers II. 3 Credits.

A continuation of MATH 221 for prospective elementary school teachers. The course emphasizes conceptual understanding and reasoning in geometry, measurement, and data. Topics include two- and three-dimensional shapes, spatial reasoning, units and measurement, and an introduction to statistics and data representation. Aligned with NCTM standards. Spring. Prerequisite: A grade of C or better in MATH 221.

MATH 230. Elementary Statistics. 3 Credits.

An introduction to statistical methods and reasoning, with an emphasis on data analysis, interpretation, and critical thinking. Topics include descriptive statistics, relationships between variables, basic probability, binomial and normal distributions, sampling distributions, confidence intervals, and hypothesis testing. Students also gain experience using statistical software and evaluating statistical claims in real-world contexts.

MATH 243. Foundations for Higher Mathematics. 3 Credits.

A transition course that prepares students for advanced mathematics by building skill and confidence in reading, writing, and constructing mathematical proofs. Topics include logic, set theory, functions, relations, modular arithmetic, and mathematical induction. Designed to strengthen abstract reasoning and provide a strong foundation for upper-level coursework. Fall. Prerequisites: A grade of C or better in Calculus II (MATH 156 or MATH 186 or MATH 188) or current enrollment in Calculus II (MATH 156 or MATH 186 or MATH 188).

MATH 285. Calculus III. 4 Credits.

Multivariable calculus for STEM majors. Topics include vectors and geometry in space, functions of several variables, partial derivatives, multiple integrals, line integrals, and vector calculus including Green’s Theorem. Prerequisite: A grade of C or better in Calculus II (MATH 156, MATH 186, or MATH 188).

MATH 286. Differential Equations. 3 Credits.

An introduction to ordinary differential equations with a focus on analytical techniques, qualitative behavior, and applications in science and engineering. Topics include first and second-order equations, systems of linear ODEs, direction fields, phase plane analysis, separation of variables, variation of parameters, and Laplace transforms. Prerequisite: A grade of C or better in Calculus III (MATH 285 or MATH 287).

MATH 287. Honors Calculus III. 4 Credits.

The final course in the honors calculus sequence, designed for exceptional STEM students. Covers the content of multivariable calculus with added emphasis on mathematical richness, theoretical depth, and challenging applications. Topics include vectors, partial derivatives, multiple integrals, vector calculus, and Green’s Theorem. Meets four hours per week. Fall. Prerequisite: A grade of C or better in MATH 188 or permission of instructor.

MATH 320. Fundamental Concepts: Probability & Data Analysis. 3 Credits.

A course for prospective teachers of K-8 mathematics. The course will explore data analysis as a four-step investigative process involving question development, data production, data analysis and contextual conclusions. Topics may include describing and comparing data distributions for both categorical and numerical data, exploring bivariate relationships, exploring elementary probability, and using random sampling as a basis for informal inference. Course includes use of appropriate software. Prerequisite: A grade of C or better in MATH 222. Offered irregularly.

MATH 321. Fundamental Concepts: Algebra & Number Theory. 3 Credits.

A course for prospective teachers of K-8 mathematics. Topics chosen from expressions and equations, ratio, proportional relationships and inversely proportional relationships, arithmetic and geometric sequences, factors and multiples (including greatest common factor and least common multiple), prime numbers and the Fundamental Theorem of Arithmetic, divisibility tests, rational versus irrational numbers, the division algorithm, modular arithmetic, functions (linear, quadratic, and exponential). Prerequisite: A grade of C or better in MATH 222. Offered every third semester. See department for rotation schedule.

MATH 322. Fundamental Concepts: Geometry & Measurement. 3 Credits.

A course for prospective teachers of K-8 mathematics. Perimeter, area, surface area, volume, and angle; geometric shapes, geometric solids, transformations, dilations, symmetry, congruence, similarity; modeling with similar triangles, and the Pythagorean Theorem and its converse. The use of appropriate software is an important component of the course. Prerequisite: A grade of C or better in MATH 222. Offered every third semester. See department for rotation schedule.

MATH 326. Fundamental Concepts: Discrete Math. 3 Credits.

A course for prospective teachers of K-8 mathematics. Topics chosen from logic, Boolean algebra, introductory graph theory, counting techniques and mathematical induction. Coding will be introduced as a way of including technology as well as algorithmic, iterative and recursive thinking into the course. Prerequisite: A grade of C or better in MATH 222. Offered every third semester. See department for rotation schedule.

MATH 327. Fundamental Concepts of Childhood Mathematics. 3 Credits.

A course for prospective teachers of K-8 mathematics. Topics are chosen from: prime numbers and the Fundamental Theorem of Arithmetic, divisibility tests, rational versus irrational numbers, the division algorithm, modular arithmetic, geometric transformations, symmetry, congruence, similarity, the Pythagorean Theorem, logic, and boolean algebra. Coding will be introduced as a way of including algorithmic, iterative, and recursive thinking into the course. Appropriate educational technology (e.g. GeoGebra) will be utilized. Restricted to students in Education majors.

MATH 328. Fundamental Concepts of Secondary Mathematics. 3 Credits.

A course for prospective teachers of secondary school mathematics. There will be a strong emphasis on the high school New York State Next Generation Mathematics Leaming Standards and Standards for Mathematical Practice. Central ideas from the following topics will be explored and connected from both intuitive and rigorous points of view. Topics include the real and complex numbers, transcendental functions, exponentiation, hyperbolas, ellipses, logarithmic functions, polynomials, statistics, probability, and trigonometry. Appropriate technological tools will be used. Prerequisites: A grade of C or better in MATH 243 Spring of even years.

MATH 331. Probability. 3 Credits.

A calculus-based introduction to probability theory. Topics include sample spaces, events, random variables, probability distributions, expectation, and important models such as the binomial, Poisson, exponential, and normal distributions. Emphasis is placed on both theory and applications. Fall. Prerequisite: A grade of C or better in Calculus II (MATH 156 or MATH 186 or MATH 188).

MATH 336. Applied Statistics. 3 Credits.

A calculus-based introduction to probability and statistical methods with applications in science, engineering, and the social sciences. Topics include random variables, sampling distributions, estimation, hypothesis testing, and linear models such as regression and ANOVA. Not open to students with credit for MATH 351. Spring. Prerequisite: A grade of C or better in Calculus II (MATH 156 or MATH 186 or MATH 188).

MATH 351. Computational Linear Algebra & Statistics for Computer Science. 3 Credits.

This course consists of three components: linear algebra including linear equations and matrices, vector spaces, subspaces, linear independence, bases, dimension, linear transformations, eigenvalues/eigenvectors, and diagonalization; Operations research including linear programming and the simplex method; Statistical inference including point and interval estimation, bias, hypothesis testing, linear models (encompassing regression and ANOVA). Enrollment restricted to Computer Science students or by approval of Department Chair. Not open to students with credit in (MATH 272 or MATH 372 or MATH 336).A grade of C or better in Calculus II (MATH 156 or MATH 186 or MATH 188). Fall.

MATH 361. Introduction to Higher Geometry. 3 Credits.

An exploration of modern geometry through an axiomatic lens, designed with future middle and high school teachers in mind. Topics include triangle and circle theorems, congruence, similarity, parallelism, transformational geometry, and an introduction to spherical and hyperbolic geometry. Includes the use of dynamic geometry software for investigating conjectures. Spring of odd years. Prerequisite: A grade of C or better in MATH 243 and Co-requisite: MATH 372.

MATH 372. Linear Algebra I. 3 Credits.

An introduction to linear algebra and its applications. Topics include systems of linear equations, matrices, vector spaces, linear transformations, eigenvalues and eigenvectors, and orthogonality. Emphasis is placed on both theoretical foundations and computational techniques. Not open to students with credit for MATH 351. Prerequisite: A grade of C or better in MATH 243 or MATH 285 or MATH 287.

MATH 375. Internship for Juniors. 3 Credits.

Students participate in an off-campus training experience closely related to their area of mathematics. Frequent meetings with the advisor plus a paper are required. Prerequisites: Junior status, 3.0 GPA and permission of the student's advisor or Department chair.

MATH 377. Algebra I. 3 Credits.

An introduction to abstract algebra with a focus on the structure and properties of groups. Topics include subgroups, cosets, Lagrange’s Theorem, and homomorphisms. The course deepens conceptual understanding of algebra and its logical foundations - essential preparation for advanced mathematical study and for future teachers aiming to bring depth and coherence to high school algebra instruction. Fall. Prerequisites: A grade of C or better in MATH 243 and MATH 372.

MATH 385. Vector Calculus. 3 Credits.

Review of vector algebra. Vector-valued functions. Divergence and curl. Multiple integrals; different coordinate systems. Line integrals, Greens Theorem, independence of path, conservative force fields. Surface integrals, Divergence Theorem, Stokes Theorem, Applications. Offered irregularly. Prerequisites: A grade of C or better in Calculus III (MATH 285 or MATH 287).

MATH 386. Partial Differential Equations. 3 Credits.

An introduction to the theory and solution techniques for partial differential equations (PDEs), with applications in mathematics, physics, and engineering. Students explore the heat, wave, Laplace equations, and more. Topics include Fourier series, boundary value problems, separation of variables, eigenfunction expansion, numerical methods for approximation, the Fourier transform, and the method of characteristics. Second order equations are classified. Prerequisite: A grade of C or better in MATH 286.

MATH 387. Analysis I. 3 Credits.

A rigorous introduction to real analysis. Topics include sequences, limits, continuity, differentiation, and the Riemann integral. Emphasis is placed on precise definitions, theorem proving, and deep understanding of the foundations of calculus. Spring. Prerequisites: A grade of C or better in MATH 243 and Calculus III (MATH 285 or Math 287).

MATH 422. Seminar for Mathematics Education. 3 Credits.

This course is intended for prospective secondary mathematics teachers. Topics in high school mathematics are examined from an advanced perspective. Topics include the real and complex numbers, functions, equations, and trigonometry. Spring. Prerequisites: A grade of C or better in MATH 243 and (MATH 272 or MATH 372 or MATH 351) Offered irregularly.

MATH 432. Statistical Inference. 3 Credits.

Sampling distributions, point estimation, interval estimation, testing statistical hypotheses, regression and correlation. Offered irregularly. Prerequisite: A grade of C or better in MATH 331.

MATH 433. Advanced Statistics. 3 Credits.

Analysis of variance, regression analysis, non-parametric and sequential tests of hypotheses. Offered irregularly. Prerequisite: A grade of C or better in MATH 432.

MATH 448. Combinatorics & Graph Theory. 3 Credits.

Fundamental concepts in combinatorics including binomial coefficients, inclusion-exclusion, and generating functions. Topics in graph theory include connectivity, planarity, colorings and chromatic polynomials, and max-flow-min-cut in networks, and other applications. Not open to students with credit for CMPT 335. Prerequisite: A grade of C or better in MATH 243.

MATH 455. Operations Research. 3 Credits.

An introduction to optimization and decision-making models with practical applications. Topics include linear programming, the simplex method, duality theory, transportation and scheduling problems, and queuing theory. Focuses on both problem solving and the underlying mathematical theory. Prerequisite: A grade of C or better in MATH 372 or MATH 351 or permission of instructor.

MATH 456. Mathematical Modeling. 3 Credits.

Students work with real-world clients to develop mathematical models that answer practical questions about their operations. Emphasis is placed on translating real-world problems into mathematical frameworks, analyzing them with industry-standard tools (such as R, Excel, MATLAB, or SPSS), and communicating results effectively. The course blends applied mathematics, client interaction, and professional skill-building.

MATH 457. Machine Learning. 3 Credits.

An introduction to the theory and practice of machine learning, with a focus on mathematical foundations and real-world applications. Topics include supervised and unsupervised learning, Bayesian decision theory, nonparametric methods, neural networks, and clustering. Students gain hands-on experience with data-driven algorithms used across industry and research. Prerequisite: A grade of C or better in MATH 372 or MATH 351 or permission of instructor.

MATH 464. Topology. 3 Credits.

Beginning with a review of set theory and basic topological definitions, topological spaces are studied with metric spaces considered as examples. Compactness, connectedness, metrization theorems. An introduction to homotopy theory. Prerequisite: A grade of C or better in MATH 243 or permission of instructor.

MATH 471. Linear Algebra II. 3 Credits.

A continuation of the topics introduced in MATH 372 with emphasis on orthogonality, inner product spaces, eigenvalues and eigenvectors, diagonalization, quadratic forms and numerical linear algebra. Fall. Prerequisite: A grade of C or better in MATH 372. Fall of even years.

MATH 475. Internship for Seniors. 3 Credits.

Students participate in an off-campus training experience closely related to their area of mathematics. Frequent meetings with the advisor plus a paper are required. Prerequisites: Senior status, 3.0 GPA, and permission of the student's advisor or the Department Chair.

MATH 478. Algebra II. 3 Credits.

A continuation of MATH 377. Further study of algebraic structures, such as rings, fields and integral domains. The homomorphism theorems and applications. Spring. Prerequisite: A grade of C or better in MATH 377.

MATH 488. Analysis II. 3 Credits.

A continuation of MATH 387. Topology of the real numbers, uniform convergence, Riemann integral, infinite series, Taylor and Fourier series, metric spaces. Prerequisite: A grade of C or better in MATH 387.

MATH 489. Problem Seminar. 3 Credits.

A capstone course in mathematical problem solving, where students grapple with challenging and often surprising problems that draw from across the major. Through collaborative exploration, formal proof, and mathematical writing, they refine their ability to think critically, argue rigorously, and communicate with clarity. It celebrates the creativity, persistence, and precision at the heart of the discipline. Spring. Prerequisites: A grade of C or better in MATH 377 and MATH 387 or permission of instructor.

MATH 490. Complex Analysis. 3 Credits.

An introduction to the beautiful and powerful world of functions of a complex variable. Topics include the complex plane, limits, continuity, analytic functions, the Cauchy-Riemann equations, and the Cauchy integral theorem with its consequences. Additional topics may include power series, Taylor and Laurent series, classification of singularities, the Residue Theorem and its applications, and conformal mapping. Applications to mathematics, physics, and engineering are explored throughout. Fall of odd years. Prerequisite: A grade of C or better in (MATH 243 and MATH 285) or MATH 286 or permission of instructor.

MATH 491. Topics in Mathematics. 3 Credits.

Admission only by permission of the Chair of the Department. This course is offered when demand warrants. Prerequisite: Permission of the Department Chair.

MATH 492. Topics in Mathematics. 3 Credits.

Admission only by permission of the Chair of the Department. This course is offered when demand warrants. Prerequisite: Permission of the Department Chair.

MATH 497. Mathematics Seminar. 3 Credits.

A course limited to students of superior ability who wish to study some advanced topic mutually agreed upon by them, the instructor and the Department Chair. Prerequisite: Permission of the instructor and the Department Chair.

MATH 499. Independent Study. 1-3 Credit.

Individual study or research under faculty supervision. Prerequisite: Permission of the instructor and the Department Chair.

PHYS 101. Physics I. 3 Credits.

A calculus based approach to the basic concepts of mechanics. Three lecture hours. Must also register for PHYS 191 lab. Prerequisite or co-requisite: MATH 155 or MATH 185 or MATH 187.

PHYS 102. Physics II. 3 Credits.

A calculus based approach to the basic concepts of electricity and magnetism. Three lecture hours. Must also register for PHYS 192 lab. Prerequisite: C or better in PHYS 101. Prerequisite or co-requisite: MATH 156 or MATH 186 or MATH 188.

PHYS 105. Principles of Physics I. 3 Credits.

An introduction to the basic principles and concepts of physics including mechanics, oscillations and waves. Three lecture hours. Fall. Co-requisite: PHYS 185 lab.

PHYS 106. Principles of Physics II. 3 Credits.

An introduction to the basic principles and concepts of physics including electricity and magnetism, optics and modern physics. Three lecture hours. Prerequisite: PHYS 105 or equivalent. Spring. Co-requisite: PHYS 186 lab.

PHYS 107. Introduction to Physics I. 3 Credits.

An algebra based approach to the basic concepts of mechanics, oscillations and waves, fluid statics and dynamics with biological applications. Three lecture hours. Fall. Co-requisite: PHYS 193 lab.

PHYS 108. Introduction to Physics II. 3 Credits.

An algebra based approach to the basic concepts of electricity and magnetism, electromagnetic waves, optics and elementary modern physics with biological applications. Three lecture hours. Prerequisite: PHYS 107 or equivalent. Spring. Co-requisite: PHYS 194 lab.

PHYS 185. Principles of Physics I Lab. 1 Credit.

Principles of Physics I Laboratory. Three lab hours. Co-requisite: PHYS 105.

PHYS 186. Principles of Physics II Lab. 1 Credit.

Principles of Physics II Laboratory. Three lab hours. Co-requisite: PHYS 106.

PHYS 191. Physics I Lab. 1 Credit.

Physics I Laboratory. Three lab hours, Co-requisite: PHYS 101.

PHYS 192. Physics II Lab. 1 Credit.

Physics II Laboratory. Three lab hours. Co-requisite: PHYS 102.

PHYS 193. Introduction to Physics I Lab. 1 Credit.

Introduction to Physics I Laboratory. Three lab hours. Co-requisite: PHYS 107.

PHYS 194. Introduction to Physics II Lab. 1 Credit.

Introduction to Physics II Laboratory. Three lab hours. Co-requisite: PHYS 108.

PHYS 201. Wave Theory of Light and Matter. 3 Credits.

Intermediate level introduction to electromagnetic waves and the theory of light, geometrical and physical optics, introduction to quantum concepts and the wave nature of matter with applications to the solid state.

PHYS 209. Mathematical Methods in Physics. 3 Credits.

Mathematical methods for intermediate and advanced courses in physics and related fields. Topics include vector calculus, complex numbers and functions, matrices and eigenvalue problems, ordinary and partial differential equations. Three lecture hours. Fall. Prerequisites: C or better in PHYS 102. Prerequisite or co-requisite: MATH 285 or MATH 287.

PHYS 221. Physics of Digital Systems. 4 Credits.

The basic physics and selected circuit applications of solid state devices such as the diode, transistor and op-amp as used in digital systems. Development of band theory and the diode equation from first principles. Three lecture hours. Spring. Prerequisites: PHYS 101, PHYS 102 sequence. Co-requisite: PHYS 221L lab.

PHYS 222. Astronomy. 3 Credits.

An intermediate level broad overview in astronomy. Spherical coordinates, reference systems, rotational dynamics, astronomical tools, Solar System, space weather, exoplanets, star formation, stellar evolution, galaxies and the large scale structure of the Universe. Prerequisite: C or better in PHYS 101 and PHYS 102.

PHYS 233. Physics III. 3 Credits.

Introduction to oscillations, mechanical waves, fluid dynamics, and thermodynamics. Three lecture hours. Fall. Prerequisite: C or better in PHYS 102.

PHYS 234. Physics IV. 3 Credits.

Gravitation, electromagnetic waves, optics, introduction to modern physics, and solid state physics. Three lecture hours. Spring. Prerequisite: C or better in PHYS 102.

PHYS 262. Intermediate Laboratory. 1 Credit.

Experiments in electricity and magnetism, optics, and introductory modern physics. Three Lab hours.

PHYS 301. Computational Physics. 3 Credits.

An introduction to computational physics. Monte Carlo techniques. Numerical differentiation and integration. Searching, fitting and data analysis. Differential equations. Three lecture hours. Spring. Pre-requisites: C or better in PHYS 102; C or better in MATH 285 or MATH 287.

PHYS 309. Mechanics. 3 Credits.

Dynamics of particles and systems, gravitation, rotating coordinates, motion of rigid bodies, Lagrangian formulation, coupled oscillators. Three lecture hours. Prerequisite: C or better in PHYS 209 or with permission of department chair.

PHYS 311. Atomic & Nuclear Physics. 3 Credits.

Schrodinger wave theory for atomic structure. Magnetic field effects on atoms. Atomic and molecular spectra. Introductory nuclear physics. Three lecture hours. Prerequisite: C or better in PHYS 209 or with permission of department chair.

PHYS 312. Quantum Mechanics I. 3 Credits.

Introduction to Quantum theory. One dimensional quantum systems. The harmonic oscillator. Central potentials. Spring. Prerequisite: C or better in PHYS 209 or with permission of department chair.

PHYS 314. Electricity and Magnetism. 3 Credits.

Electrostatics, magnetostatics, and electrodynamics, using vector analysis. Maxwell’s equations in free space and linear media. Electromagnetic waves and their interaction with matter. Spring of odd years. Prerequisite: C or better in PHYS 209 or with permission of department chair.

PHYS 341. Topics in Astrophysics. 3 Credits.

Topics of current interest in astrophysics, including stellar structure and atmospheres, evolution and remnants, formation of stars and planetary systems, galactic structure and evolution of galaxies. Spring of odd years. Prerequisite: C or better in PHYS 209 or with permission of department chair.

PHYS 350. Optics. 3 Credits.

Wave optics, light and matter, interference, diffraction, polarization, and advanced topics in optics. Fall of even years. Three lecture hours. Prerequisites: C or better in PHYS 102; C or better in MATH 285 or MATH 287.

PHYS 352. Modern Physics Lab II. 3 Credits.

Advanced experiments in atomic and nuclear physics. Properties of radioactivity. One four-hour period. Fall of odd years.

PHYS 375. Internship for Juniors. 3 Credits.

Students participate in an off-campus training experience closely related to one of the areas of physics. Frequent meetings with the advisor plus a paper are required. Prerequisites: Junior status, 3.0 GPA, and permission of the student's advisor or Chair.

PHYS 410. Advanced Theoretical Physics. 3 Credits.

A rigorous treatment of the mathematical language of modern theoretical physics. Topics include vectors and tensors, geometry of flat and curved spacetime, group theory in quantum mechanics and particle physics. Three lecture hours. Spring of even years. Prerequisites: C or better in PHYS 209 or permission of department chair.

PHYS 414. Electromagnetic Radiation II. 3 Credits.

Dielectric and Magnetic materials, electromagnetic waves in free space and media. Dipole radiation.

PHYS 415. Statistical Mechanics. 3 Credits.

Statistical mechanics of many body systems in equilibrium. Thermal behavior and phase transitions in condensed matter. Boltzmann's equation and non-equilibrium phenomena. Spring of even years. Prerequisite: C or better in PHYS 209.

PHYS 432. Solid State Physics. 3 Credits.

Lattices and crystal binding. Phonons and lattice vibrations. Thermal properties of insulators. Metals, free electron gas, energy bands. Semiconductors, mobility, life times, p-n junctions. Superconductivity, B.C.S. theory. Phase transitions Magnetorthermal properties. Three lectures.

PHYS 440. Research Project in Physics. 3 Credits.

Introductory level student research projects in either experimental or theoretical physics carried out under the guidance of a faculty member. Permission of department chair required.

PHYS 441. Senior Thesis. 3 Credits.

An independent study program in experimental or theoretical physics to provide an opportunity for the scientific development of advanced undergraduate physics majors. Minimum of six hours a week devoted to an organized study program is required. Permission of department chair necessary.

PHYS 443. Quantum Mechanics II: Quantum Computing & Information. 3 Credits.

Development of the formal structure of quantum mechanics. Time independent perturbation theory. Theory of scattering. Entanglement, Bell's theorem, quantum computing and quantum information. Pre-requisite: C or better in PHYS 312 or with permission of department chair.

PHYS 445. Research Project in Physics. 2 Credits.

Introductory level student research projects in either experimental or theoretical physics carried out under the guidance of a faculty member. Permission of department chair required.

PHYS 446. Topics in Cosmology. 3 Credits.

Topics of current interest in cosmology, including cosmic distance ladder, geometry of the expanding universe, thermal history and cosmic microwave background, inflation and the primordial era. Fall of odd years. Prerequisite: C or better in PHYS 209 or with permission of department chair.

PHYS 450. Seminar. 1 Credit.

Study of special topics in physics under the guidance of a faculty member. B.S. majors will give a final presentation or paper on either a theoretical or experimental topic in the spring semester of the senior year. Permission of department chair required.

PHYS 475. Internship for Seniors. 3 Credits.

Students participate in an off-campus training experience closely related to their area of physics. Frequent meetings with the advisor plus a paper are required. Prerequisites: Senior status, 3.0 GPA, and permission of the student's advisor or the Chair.

PHYS 499. Independent Study. 1-3 Credit.

Individual study or research under faculty supervision. Pre-requisite: Permission of the Department Chair.