11821 
MATH 107 Topics in
Geometrical Math 
Ethan
Bloch 
M . W . . 
3:10 4:30 pm 
HEG 204 
MATC 
Geometrical mathematics involves many topics other
than traditional Euclidean geometry. This course explores topics that vary from
semester to semester and may include some, but not all of the following:
symmetry, groups, frieze and wallpaper patterns, graphs, surfaces, knots, and
higher dimensions. Prerequisite: passing score on Part I of the Mathematics
Diagnostic. Class size: 22
11822 
MATH 110 Precalculus
Mathematics 
Gregory
Landweber 
. . W . F 
10:10  11:30 am 
RKC 102 
MATC 
A course for students who intend to take calculus and
need to acquire the necessary skills in algebra and trigonometry. The concept of function
is stressed, with particular attention given to linear, quadratic, general
polynomial, trigonometric, exponential, and logarithmic functions. Graphing in
the Cartesian plane and developing the trigonometric functions as circular
functions are included. Prerequisite:
passing score on Part I of the Mathematics Diagnostic. Class size: 22
11823 
MATH 141 A Calculus I 
Csilla
Szabo 
. T . Th . 
1:30 2:50 pm 
HEG 204 
MATC 
An introduction to the basic ideas of differentiation and
integration in one variable. Topics include limits, techniques of
differentiation, definite integrals, the fundamental theorem of calculus, and
applications. Prerequisite: MATH 110 Precalculus or the equivalent. Class
size: 22
11824 
MATH 141 B Calculus I 
Csilla
Szabo 
. T . Th . 
3:10 4:30 pm 
HEG 204 
MATC 
See
above. Class size: 22
11825 
MATH 142 A Calculus II 
Amir
Barghi 
. T . Th . 
10:10  11:30 am 
HEG 204 
MATC 
This
course, a continuation of Calculus I, reinforces the fundamental ideas of the
derivative and the definite integral. Topics covered include techniques
of integration, l'Hopital's rule, improper integrals,
applications of integration, functions of several variables, partial
derivatives, multiple integrals. Prerequisite: MATH 141 Calculus or the equivalent. Class
size: 22
11826 
MATH 142 B Calculus II 
Amir
Barghi 
. T . Th . 
1:30 2:50 pm 
HEG 308 
MATC 
See
above. Class size: 22
12052 
BIO
144 Biostatistics

Samuel
Hsiao 
. . W . F 
1:30 4:00 pm 
ALBEE 100 
MATC 
Crosslisted: Mathematics, Environmental & Urban
Studies, Global & Int’l Studies This course introduces
students to the statistical methods biologists use to describe and compare
data. Students will learn methods are appropriate for different types of data.
Topics covered include elementary probability and statistics, characteristics
of frequency distributions, hypothesis testing, contingency tests, correlation
and regression analysis, different ways to compare
means, nonparametric tests, and an introduction to multivariate tests. This
course is intended for sophomore and junior biology majors, although it is open
to students of all years. One objective of the course is to provide
biology majors the statistical background they need to analyze data for their
own senior research; biology students should take this course before their
senior year, if possible. Notice, though, that the topics in this course are
applicable to many advanced courses. Prerequisite: passing score on part I of
the Mathematics Diagnostic and at least one introductory biology course. Class size: 18
11828 
MATH 213 Linear
Algebra w/ODEs 
James
Belk 
. T . Th . 
11:50 1:10 pm 
RKC 111 
MATC 
This
course is an introduction to two fields of mathematics, linear algebra and ordinary
differential equations, that are of fundamental importance throughout
mathematics and its applications, and that are related by the important use of
linear algebra in the study of systems of linear differential equations. Topics
in linear algebra include ndimensional Euclidean space, vectors, matrices, systems of linear
equations, determinants, eigen values and
eigenvectors; topics in ordinary differential equations include graphical
methods, separable differential equations, higher order linear differential
equations, systems of linear differential equations and applications.
Prerequisite: MATH 142 Calculus II or the equivalent. Class
size: 18
11829 
MATH 241 Vector
Calculus 
James
Belk 
. T . Th . 
3:10 4:30 pm 
RKC 111 
MATC 
This
course investigates differentiation and integration of vectorvalued functions,
and related topics in calculus. Topics covered include vectorvalued functions,
gradients, the chain rule, Lagrange multipliers, change
of variables for multiple integrals, line integrals, Green’s Theorem, Stokes’
Theorem, Divergence Theorem and power series.
Prerequisites: MATH 142 Calculus II and MATH 213 Linear Algebra
w/ODEs or the equivalent. Class size: 18
11830 
MATH 261A Proofs and
Fundamentals 
Ethan
Bloch 
M . W . . 
1:30 2:50 pm 
HEG 308 
MATC 
This
course introduces students to the methodology of mathematical proof. The logic
of compound and quantified statements, mathematical induction, and basic set theory
including functions and cardinality are covered. Topics from foundational
mathematics are developed to provide students with an opportunity to apply
proof techniques. Prerequisite: MATH 142 Calculus II, or permission of
instructor. Class size: 15
11831 
MATH 261 B Proofs and Fundamentals 
Amir
Barghi 
M . W . . 
3:10 4:30 pm 
OLINLC 115 
MATC 
See
above. Class size: 15
11832 
MATH 314 Mathematical
Modeling 
Csilla
Szabo 
M . W . . 
8:30 9:50 am 
HEG 308 
MATC 
What
is a mathematical model? And how can it be used to help solve real world
problems? This course will provide students with a solid foundation in modeling
and simulation, advancing understanding of how to apply mathematical concepts
and theory. Topics may include modeling
with Markov chains, Monte Carlo simulation, discrete dynamical systems,
differential equations, game theory, network science and optimization.
Prerequisite: MATH 213 Linear Algebra
w/ODEs. Class size: 15
11833 
MATH 329 Mathematical
Statistics 
Samuel
Hsiao 
. . W . F 
10:10  11:30 am 
HEG 308 
MATC 
This
course is a calculusbased introduction to statistical theory and applications.
Students will explore the mathematical ideas underlying common statistical methods
and will gain experience analyzing real data. Core topics include estimation,
confidence intervals, hypothesis testing, and regression. Additional topics
vary by instructor and may include bootstrapping or nonparametric methods.
Statistical software will be used extensively to perform simulations and data
analyses. Prerequisite: MATH 319
Probability and Statistics or MATH 328 Probability. Class size: 15
11834 
MATH 332 Abstract
Algebra 
John
Cullinan 
. T . Th . 
11:50 1:10 pm 
RKC 101 
MATC 
An introduction to modern abstract algebraic systems,
including groups, rings, fields and vector spaces. The course will
focus primarily on a rigorous treatment of the basic theory of groups
(subgroups, quotient groups, homomorphisms, isomorphisms, group actions) and vector spaces (subspaces,
bases, dimension, linear maps). Prerequisites: MATH 261 Proofs and
Fundamentals, and MATH 213 Linear Algebra w/ODEs, or permission of the instructor. Class
size: 15
11835 
MATH 362 Complex
Analysis 
John
Cullinan 
. T . Th . 
8:30 9:50 am 
RKC 101 
MATC 
This
course will cover the basic theory of functions of one complex variable. Topics
will include the geometry of
complex numbers, holomorphic and harmonic
functions, Cauchy’s theorem and its consequences, Taylor and Laurent series,
singularities, residues, elliptic functions and/or other topics as time
permits. Prerequisites: MATH 241 Vector Calculus, MATH 261 Proofs and
Fundamentals, and one prior 300level mathematics course is recommended, or
permission of the instructor. Class size: 15
11836 
MATH 363 Numerical
Real Analysis 
Gregory
Landweber 
. . W . F 
1:30 2:50 pm 
RKC 101 
MATC 
Some
of the fundamental ideas of analysis in onedimensional Euclidean space are
studied from both theoretical and computational perspectives. Topics covered
include the foundations of the real numbers, sequences, series, power series,
the derivative, and the Riemann integral. A focus will be on error estimates
for numerical methods of approximating the roots, derivatives and integrals of
real analytic functions, making use of Taylor series and Taylor's Theorem. This
course satisfies the Real Analysis requirement of the Mathematics Program. Prerequisites: MATH 261 Proofs and Fundamentals , and one prior 300level mathematics course,
or permission of the instructor. Class size: 15
11837 
MATH 382 Computational
Commutative Algebra 
Branden
Stone 
M . W . . 
4:40 6:00 pm 
HEG 204 
MATC 
This
course will investigate the nature of polynomial rings and their applications
to the real world. It will describe the basic tools of standard graded rings
and their relation to combinatorics and algebraic geometry.
Some of the topics will include monomial ideals, StanleyReisner
rings, Groebner bases, simplicial
complexes, Hilbert functions, and hvectors. Applications to fields such as
statistics, photogrammetry, financial mathematics,
and robotics will also be discussed, time permitting. Prerequisite: MATH 332,
Abstract Algebra. Class size: 15
11838 
MATH 399 Junior
Seminar 
Gregory
Landweber 
. . . Th . 
4:40 6:00 pm 
HEG 308 / RKC 100 

1 credit This course is designed to
help students prepare for a senior project in mathematics via a variety of
handson activities related to reading, doing and writing mathematics. There
will be ten weekly meetings, each devoted to a different topic, including: how
to read a mathematics paper; searching the mathematics literature; using LaTeX for writing a senior project; using computer programs
such as Sage and Mathematica; and expository
mathematical writing. The seminar culminates in the writing of a short
expository work. The seminar is graded Pass/Fail. Prerequisite: At least one 300level
Mathematics course. Class size: 24