Course Descriptions
*Current with 2007-2008 BYU Catalogs.
102. Quantitative Reasoning. (3:3:0) F, W, Sp, Su For students
who do not need developmental algebra for subsequent courses.
Practicing and applying quantitative reasoning: personal
finance, consumer statistics, etc.
110. College Algebra. (3:3:0) F, W, Sp, Su Independent Study also.
Prerequisite: Math 97 or equivalent.
Functions, polynomials, theory of equations, exponential and
logarithmic functions, matrices, determinants, systems of linear
equations, permutations, combinations, binomial theorem.
111. Trigonometry. (2:2:0) F, W, Sp, Su Independent Study also.
Prerequisite: Math 110 or equivalent.
Circular functions, triangle relationships, identities, inverse trig
functions, trigonometric equations, vectors, complex numbers,
DeMoivre's theorem.
112. Calculus 1. (4:5:0) F, W, Sp, Su Honors also. Prerequisite:
Math 110 and 111 or equivalents.
Differential and integral calculus: limits; continuity; the
derivative and applications; extrema; the definite integral;
fundamental theorem of calculus; L’Hôpital's rule.
113. Calculus 2. (4:5:0) F, W, Sp, Su Honors also. Prerequisite:
Math 112 or equivalent.
Techniques and applications of integration; sequences, series,
convergence tests, power series; parametric equations; polar
coordinates.
119. Introduction to Calculus. (4:4:1) For students in the College
of Biology and Agriculture and the Marriott School of
Management. Independent Study also. F, W, Sp, Su Prerequisite:
Math 110 or equivalent.
Introduction to plane analytic geometry and calculus.
190. Fundamentals of Mathematics. (3:3:0) F, W, Su Prerequisite:
Math 112 or concurrent enrollment with instructor's consent.
Achieving maturity in mathematical communication.
Introduction to mathematical proof; methods of proof; analysis of
proof; induction; logical reasoning.
214. Calculus of Several Variables. (3:3:0) F, W, Sp, Su
Prerequisite: Math 113; 343 or concurrent enrollment.
Partial differentiation, the Jacobian matrix, and integral
theorems of vector calculus.
300. History of Mathematics. (3:3:0) F, W, Su Independent Study
also. Prerequisite: Math 113.
Development of mathematics, emphasizing underlying
principles and motivations.
302. Mathematics for Engineering 1. (4:4:0) F, W Prerequisite:
Math 113 and passing grade on required preparatory exam taken
during first week of class. (Practice exams available on class Web
site.)
Multivariable calculus, linear algebra, and numerical methods.
303. Mathematics for Engineering 2. (4:4:0) F, W Prerequisite:
Math 302; or Math 214 and 343.
ODEs, Laplace transforms, Fourier series, PDEs, numerical
methods.
315, 316. Theory of Analysis. (3:3:0 ea.) 315: F, W; 316: F, W
Prerequisite: for 315: Math 113, 190, 343; for 316: Math 315.
Rigorous treatment of calculus of single and several variables.
Topics include uniform continuity, metric spaces, Riemann
integral, implicit function theorem, and integral theorems of
vector calculus.
332. Introduction to Complex Analysis. (3:3:0) F, W Prerequisite:
Math 214 or 316.
Complex algebra, analytic functions, integration in the complex
plane, infinite series, theory of residues, conformal mapping.
334. Ordinary Differential Equations. (3:3:0) F, W, Sp, Su
Prerequisite: Math 113, 343.
Methods and theory of ordinary differential equations.
343. Elementary Linear Algebra. (3:3:0) F, W,
Sp, Su. Independent Study also. Prerequisite: Math 112 or
119.
Linear systems, matrices, vectors and vector spaces, linear
transformations, determinants, inner product spaces, eigenvalues,
and eigenvectors.
347. Introduction to Partial Differential Equations. (3:3:0) W, Su
Prerequisite: Math 303 or 334.
Boundary value problems; transform methods; Fourier series;
Bessel functions; Legendre polynomials.
350. Combinatorics. (3:3:0) Prerequisite: Math 343, 371.
Permutations, combinations, recurrence relations, applications.
355. Graph Theory. (3:3:0) Prerequisite: Math 343.
Maps, graphs and digraphs, coloring problems, applications.
362. Survey of Geometry. (3:3:0) F, W, Su.
Prerequisite: Math 112, 190.
Logical structure of Euclidean, non-Euclidean, and finite
geometries.
371, 372. Abstract Algebra. (3:3:0 ea.) 371: F, W, Sp; 372: W
Prerequisite: for 371: Math 190, 343; for 372: Math 371.
Groups, rings, fields, vector spaces, linear transformations,
matrices, field extensions, etc.
387. Number Theory. (3:3:0) Prerequisite: Math 343, 371.
Foundations; congruences; quadratic reciprocity; unique
factorization, prime distribution or Diophantine equations.
391R. Seminar in Mathematics. (1:1:0) F
Topics from classical problems of antiquity, combinatorial
mathematics, graph theory, real functions, number theory,
functional equations.
399R. Academic Internship. (1–9:9:0 ea.) On dem.
On-the-job experience.
410. Introduction to Numerical Methods. (3:3:0) F, W
Prerequisite: Math 214, 343.
Root finding, interpolation, curve fitting, numerical
differentiation and integration, multiple integrals, direct solvers
for linear systems, least squares, rational approximations, fourier
and other orthogonal methods.
411. Numerical Methods. (3:3:0) W Prerequisite: Math 334, 410.
Iterative solvers for linear systems, eigenvalue, eigenvector
approximations, numerical solutions to nonlinear systems,
numerical techniques for initial and boundary value problems,
elementary solvers for PDEs.
451. Introduction to Topology. (3:3:0) F, W Prerequisite: Math 315.
Developing topological concepts, beginning from a linear
setting. Developing proofs or counterexamples from axioms to a
structured seqence of topological propositions using only notes
provided.
460R. Topics in Geometry. (3:3:0 ea.) On dem. Prerequisite: Math
343, 362; or equivalents.
Topics selected from the various aspects of synthetic, analytic,
algebraic, and differential geometry.
480. Mathematical Models. (3:3:0) On dem. Prerequisite: Math
214, 334, 343, 410.
Construction, solution, and interpretation of discrete and
continuous models applied to problems in the physical, natural,
and social sciences.
495R. Readings in Mathematics. (1–2:0:3 ea.) F, W, Sp, Su
Prerequisite: instructor's consent.
Directed readings beyond the scope of usual undergraduate
courses.
499R. Senior Thesis. (1–3:0:3 ea.) F, W, Sp, Su
500-Level Graduate
Courses (available to advanced undergraduates)
510. Numerical Methods for Linear Algebra. (3:3:0) F
Prerequisite: Math 343, 410, or equivalents.
Numerical matrix algebra, orthogonalization and least squares
methods, unsymmetric and symmetric eigenvalue problems,
iterative methods, Lanczos methods, advanced solvers for partial
differential equations.
511. Numerical Methods for Partial Differential Equations. (3:3:0) F Prerequisite: Math 303 or 347; 410; or equivalents.
Finite difference and finite volume methods for partial
differential equations. Stability, consistency, and convergence
theory.
513R. Advanced Topics in Applied Mathematics. (3:3:0 ea.) On
dem. Prerequisite: instructor's consent.
521, 522. Methods of Applied Mathematics 1, 2. (3:3:0 ea.) On
dem. Prerequisite: Math 334, 343; or equivalents.
Possible topics include: variational, integral, and partial
differential equations; spectral and transform methods; nonlinear
waves; Green's functions; scaling and asymptotic analysis;
perturbation theory; continuum mechanics.
532. Complex Analysis. (3:3:0) Prerequisite: Math 332 or
instructor's consent.
Introduction to theory of complex analysis at beginning
graduate level. Topics: Cauchy integral equations, Riemann
surfaces, Picard's theorem, etc.
534. Introduction to Dynamical Systems 1. (3:3:0) Prerequisite:
Math 315, 334; or equivalents.
Discrete dynamical systems; iterations of maps on the line and
the plane; bifurcation theory; chaos, Julia sets, and fractals.
Computational experimentation.
541, 542. Real Analysis. (3:3:0 ea.) F, W Prerequisite: Math 315,
343; 214 or 316; or equivalents.
Rigorous treatment of differentiation and integration theory;
Lebesque measure; Banach spaces.
543, 544. Advanced Probability 1, 2. (3:3:0 ea.) On dem.
Prerequisite: Math 214 or equivalent. Recommended: Math 315,
316, Stat 441; or equivalents.
Probability theory and its applicatiions. Topics include random
variables, independence and conditioning, laws of large numbers,
random walks, martingales, Markov chains, renewal processes,
ergodic theorems, Brownian motion, and stochastic integration.
547, 548. Partial Differential Equations 1, 2. (3:3:0 ea.) On dem.
Prerequisite: Math 214, 334; or equivalents. Recommended: Math
315, 316; or equivalents.
Topics include the method of characteristics, elliptic equations,
potential theory, parabolic equations and systems, maximum
principles, linear and nonlinear waves, Hamilton-Jacobi
equations, Fourier transforms, Green's functions, distributions,
and energy methods.
553. Foundations of Topology 1. (3:3:0) F, W Prerequisite: Math
451 or instructor's consent.
Naïve set theory, topological spaces, product spaces, subspaces,
continuous functions, connectedness, compactness, countability,
separation axioms, metrization, complete metric spaces, function
spaces, and Baire spaces.
554. Foundations of Topology 2. (3:3:0) F, W Prerequisite: Math
553 or instructor's consent.
Fundamental group, retractions and fixed points, homotopy
types, separation theorems, classification of surfaces, Seifert–van
Kampen Theorem, classification of covering spaces, and
applications to group theory.
561, 562. Introduction to Algebraic Geometry. (3:3:0) Prerequisite:
Math 671 or concurrent enrollment.
Projective varieties, curves, surfaces, differential forms, and
divisors.
565. Differential Geometry. (3:3:0) Prerequisite: Math 214, 315; or
equivalents. Recommended: Math 316 or equivalent.
Curves and surfaces, including the first and second fundamental
forms, Gauss map, curvatures, geodesics, minimal surfaces, and
the Gauss-Bonnet Theorem.
570. Matrix Analysis. (3:3:0) Prerequisite: Math 302 or 343; or
equivalents.
Special classes of matrices, canonical forms, matrix and vector
norms, localization of eigenvalues, matrix functions, applications.
586. Introduction to Algebraic Number Theory. (3:3:0) F or W
Prerequisite: Math 372 or equivalent; instructor's consent.
Algebraic integers, different and discriminant; decomposition of
primes; class group; Dirichlet unit theorem; Dedekind zeta-function;
cyclotomic fields; valuations; completions.
587. Introduction to Analytic Number Theory. (3:3:0) F or W
Prerequisite: Math 332 or equivalent; instructor's consent.
Arithmetical functions; distribution of primes; Dirichlet
characters; Dirichlet's theorem; Gauss sums; primitive roots;
Dirichlet L-functions; Riemann zeta-function; prime number
theorem; partitions.
600-Level Graduate Courses
621, 622. Matrix Theory. (3 ea.) Prerequisite: Math 570.
Zero-one matrices, spectra of
graphs, Laplacian matrix, irreducible
and primitive matrices, cycle expansion
of the determinant, matrix
completion problems, permanents,
generalized matrix functions.
631, 632. Complex Analysis. (3 ea.) Prerequisite: Math 332, 542 for 631; Math 631 for 632.
634, 635. Theory of Ordinary Differential Equations. (3 ea.) Prerequisite: Math 315, 334.
641. Functions of Real and Complex Variables 1. (3) Prerequisite: Math 542 or instructor’s consent.
Fundamentals of measure and
integration, Borel measures, product
measures, LP spaces, introduction to
functional analysis, Radon Nikodym
theorem, differentiation theory,
Fourier transforms.
642. Functions of Real and Complex Variables 2. (3) Prerequisite: Math 641.
Advanced topics chosen by the
instructor, such as but not limited to
probability, Haar measures, Fourier
analysis on locally compact groups,
Sobolev spaces, ergodic theory, differentiation
theory of Radon measures,
area and co-area formulas, etc.
643R. Special Topics in Analysis. (3) Prerequisite: Math 642 or instructor’s consent.
Advanced topics in analysis
drawn from pure and applied mathematics.
Possible topics include nonlinear
partial differential equations,
nonlinear functional analysis, asymptotic
analysis, wavelets, numerical
analysis, and analysis applied to
biological and medical systems.
644. Harmonic Analysis. (3) Prerequisite: Math 532, 542.
Harmonic analysis on the torus
and in Euclidean space; pointwise
and norm convergence of Fourier
series and functional-analytic aspects
of Fourier transforms emphasized.
645, 646. Functional Analysis. (3 ea.) Prerequisite: Math 641 for 645; Math 645 for 646.
647, 648. Theory of Partial Differential Equations. (3 ea.) Prerequisite: Math 347, 542 for 647; Math 647 for 648.
651, 652. Topology 1, 2. (3 ea.) Prerequisite: for 651: Math 553, 554; for 652: Math 651.
Advanced topics in topology.
Topics may include, but are not
limited to, piecewise linear topology,
3-manifold theory, homotopy theory,
differential topology, Riemannian
geometry, and geometric group
theory.
655. Algebraic Topology 1. (3) Prerequisite: instructor’s consent.
656. Algebraic Topology 2. (3) Prerequisite: Math 655.
663, 664. Algebraic Geometry. (3 ea.) Prerequisite: Math 672; Math 676 or concurrent enrollment.
Varieties, sheaves, and schemes;
their cohomology and classification;
applications.
671, 672. Algebra. (3 ea.) Prerequisite: Math 372 for 671; Math 671 for 672.
675R. Special Topics in Algebra. (3) Prerequisite: Math 672.
676. Commutative Algebra. (3) Prerequisite: Math 671, 672.
Commutative rings, modules,
tensor products, localization, primary
decomposition, Noetherian
and Artinian rings, application to
algebraic geometry and algebraic
number theory.
677. Homological Algebra. (3) Prerequisite: Math 671, 672.
Chain complexes, derived functors,
cohomology of groups, ext and
tor, spectral sequences, etc. Application
to algebraic geometry and
algebraic number theory.
686R. Topics in Algebraic Number Theory. (3) Prerequisite: Math 372, 387, and instructor’s consent.
Current topics of research interest.
687R. Topics in Analytic Number Theory. (3) Prerequisite: Math 387, 372, 532, and instructor’s consent.
Current topics of research interest.
695R. Readings in Mathematics. (1–2)
698R. Master’s Project. (2)
699R. Master’s Thesis. (1–9)
751R. Advanced Special Topics in Topology. (3) Prerequisite: instructor’s consent and Math 651, 652.
Current topics in topology of
research interest.
799R. Doctoral Dissertation. (Arr.)