17073 
BLC 150
Algebra Workshop 
Maria
Belk 
F
10:10am – 11:30am 
HEG 204 


(2
credits) This course provides a review of the algebra used in math,
science, and social science courses. It is designed for students who would like
to improve their algebra skills while taking or in preparation to take an
introductory math, science, economics or statistics course. Topics include
linear equations and their graphs, quadratic equations, fractions, rational
expressions, and exponents. This course will be graded Pass/Fail. No
distributional credit is earned. Class size: 22
17075 
BLC 190
Algebra,Trigonometry, Functions 
Maria
Belk 
T 5:00pm
7:00pm 
RKC 101 


(2
credits)
This course is designed for students who have taken a precalculus course in
high school or at Bard, but would like more computational practice with
algebra, trigonometry, logarithms and exponentials. This course can be
taken at the same time as a math, science, or economics course, or in
preparation to take such a course in a subsequent semester. This course will be
graded Pass/Fail. No distributional credit is earned. This course will meet for the first 10 weeks of
the semester. Class size: 25
17141 
MATH 102
Elementary Statistics 
Amir
Barghi 
M W 1:30pm2:50pm 
ALBEE 100 
MC 
MATC 
The main focus of
this course is to introduce core ideas in statistics that are needed to make
sense of what is found in media outlets, online surveys, and scientific
journals. Most concepts are introduced in a casestudy fashion; statistical software
will be used to analyze data and facilitate classroom discussions. The goal of
this course is to foster statistical reasoning, and to assist in making
informed conclusions about topics involving data. Intended
for nonmath majors.
Prerequisites: passing score on Part I of the Mathematics Diagnostic. Class size: 18
17142 
MATH 104
Data and Decisions 
Ethan
Bloch 
M W 3:10pm4:30pm 
HEG 204 
MC 
MATC 
This course
examines applications of mathematics to a number of topics related to data and
decisionmaking. Topics will be chosen from three relevant areas of
mathematics: voting systems, networks and statistics, all of which involve
extracting information from various types of data. There is no particular
mathematical preparation needed for this course beyond basic algebra, and a
willingness to explore new ideas, construct convincing arguments and use a
spreadsheet. Prerequisite: passing score on Part I of the Mathematics
Diagnostic. Class size: 22
17143 
MATH 106
Mathematics and Politics 
John
Cullinan 
M W 8:30am9:50am 
HEG 308 
MC 
MATC 
This course considers applications of mathematics to political
science. Five major topics will be
covered: a model of escalatory behavior,
gametheoretic models of international conflict, yesno voting systems,
political power, and social choice. For
each model presented, the implications of the model as well as the limitations
of the model will be discussed. Students
will be actively involved in the modeling process. There is no particular mathematical
prerequisite for this course though we will do some algebraic computations from
time to time and discuss deductive proofs of some of the main results.
Prerequisite: passing score on Part I of the Mathematics
Diagnostic. Class
size: 22
17144 
MATH 110
Precalculus Mathematics 
Lauren
Rose 
T Th 1:30pm2:50pm 
HEG 204 
MC 
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
17145 
MATH 131
Exploration in Number Theory 
Lauren
Rose 
T Th 10:10am11:30am 
HEG 204 
MC 
MATC 
This course will provide an overview of one of the oldest and most
beautiful areas of mathematics. It is ideal for any student who wants a taste
of mathematics outside of the calculus sequence. Topics may include: number
puzzles, prime numbers, congruences, quadratic
reciprocity, sums of squares, Diophantine equations, cryptography, coding
theory, and continued fractions.
Prerequisite: passing score on Part 2 of the
Mathematics Diagnostic. Class
size: 20
17146 
MATH 141
A Calculus I 
Stefan
MendezDiez 
M W 3:10pm4:30pm 
RKC 102 
MC 
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
17147 
MATH 141
B Calculus I 
Stefan
MendezDiez 
T Th 10:10am11:30am 
HEG 308 
MC 
MATC 
See
above. Class size: 22
17148 
MATH 142
A Calculus II 
Steven
Simon 
T Th 8:30am9:50am 
RKC 101 
MC 
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
17149 
MATH 142
B Calculus II 
Steven
Simon 
T Th 3:10pm4:30pm 
HEG 308 
MC 
MATC 
See
above. Class size: 22
17150 
MATH 213
A Linear Algebra & Ordinary Differential Equations 
James
Belk 
T Th 11:50am1:10pm 
RKC 102 
MC 
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
17151 
MATH 213
B Linear Algebra/Ord Diff Equatn 
James
Belk 
T Th 3:10pm4:30pm 
RKC 102 
MC 
MATC 
See
above. Class size: 18
17152 
MATH 241
Vector Calculus 
John
Cullinan 
M W 10:10am11:30am 
HEG 308 
MC 
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
17153 
MATH 261
Proofs and Fundamentals 
Japheth
Wood 
W F 1:30pm2:50pm 
ALBEE 106 
MC 
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
17154 
MATH 301
Scientific Computing 
Stefan
MendezDiez 
T Th 11:50am1:10pm 
ALBEE 100 
MC 
MATC 
This course will
explore how to solve continuous problems using numerical methods. Such problems
arise in many mathematical applications. We will discuss the theory of
numerical computation, as well as how to utilize the theory to solve real problems
using the computer software package MATLAB. The course will begin with learning
how to use MATLAB by experimenting with its use in solving eigenvalue problems.
We will then study curve fitting using least squares and polynomial
interpolation, among other methods. We will use these problems to focus on how
to optimize our computer code for parallelization. The course will conclude by
focusing on numerical methods for solving differential equations.
Prerequisites: MATH 213 (Linear Algebra with Ordinary Differential Equations),
and one of MATH 241 (Vector Calculus), CMSC 143 (ObjectOriented Programming
with Robots), PHYS 221 (Mathematical Methods of Physics I) or permission of the
instructor. Class size: 15
17156 
MATH 315
Game Theory 
Maria
Belk 
M W 3:10pm4:30pm 
HEG 308 
MC 
MATC 
Game Theory is a
mathematical approach to modeling situations of conflict and cooperation. It
has applications to many fields, including economics, biology, and
psychology. This course will be an
introduction to game theory from a mathematical perspective; topics will
include mathematical models of games, twoperson games, mixed strategies, and
Nash equilibria. Additional topics may
include continuous games, dynamic games, and stochastic games. Prerequisites: MATH 213 (Linear Algebra
w/ODEs) and MATH 261 (Proofs and Fundamentals). Class size: 15
17155 
MATH 329
Mathematical Statistics 
Amir
Barghi 
M W 10:10am11:30am 
ALBEE 100 
MC 
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
17157 
MATH 332
Abstract Algebra 
Ethan
Bloch 
M W 1:30pm2:50pm 
HEG 308 
MC 
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
17158 
MATH 361
Real Analysis 
Steven
Simon 
T Th 1:30pm2:50pm 
RKC 101 
MC 
MATC 
The fundamental
ideas of analysis in onedimensional Euclidean space are studied. Topics
covered include the completeness of the real numbers, sequences, Cauchy
sequences, continuity, uniform continuity, the derivative, and the Riemann
integral. As time permits other topics may be considered, such as infinite
series of functions or metric spaces.
Prerequisite: Mathematics 261 and one prior 300level mathematics course is recommended, or permission
of the instructor. Class size: 15
Crosslisted:
17603 
EUS 226 Environmental Modeling 
Gautam
Sethi 
M
W 10:10am11:30am 
OLIN 101 
MC 
MATC 
Crosslisted: Economics;
Mathematics