BARD
LEARNING COMMONS COURSES: (no distribution credit)
91808 
BLC 150 Algebra Workshop 
Daniel
Newsome 
F 11:50 am–1:10pm 
RKC 111 
(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
91807 
BLC 190 Algebra, Trigonometry, & Functions 
Daniel
Newsome 
T 5:00 – 7:00 pm 
RKC 111 
(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: 22
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91924 
MATH 104 A Data and Decisions 
Ethan Bloch

T Th 10:10 11:30 am 
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
92463 
MATH 104 B Data and Decisions 
Ethan Bloch

T Th 3:10 pm – 4:30 pm 
HEG 204 
MC 
MATC 
See above.
91925 
MATH 110 A Precalculus Mathematics 
Lauren Rose
problem session: 
T Th 10:1011:30 am
W 11:501:10 pm 
OLINLC 115 RKC 115 
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: 20
91926 
MATH 110 B Precalculus Mathematics 
Lauren Rose
problem session: 
T Th 3:104:30 pm
W 5:006:20 pm 
OLINLC 115 HEG 308 
MC 
MATC 
See above.
Class size: 20
91927 
MATH 141 A Calculus I 
Silvia
Saccon 
T Th 1:302:50 pm 
HEG 308 
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: 20
91928 
MATH 141 B Calculus I 
Matt
Goodell 
T Th 4:40 pm – 6:00 pm 
HEG 204 
MC 
MATC 
See above.
Class size: 20
91929 
MATH 141 C Calculus I 
Silvia
Saccon 
M W 10:1011:30 am 
HEG 308 
MC 
MATC 
See above.
Class size: 20
91930 
MATH 141 D Calculus I 
Japheth Wood

T Th 10:10 am – 11:30 am 
HEG 308 
MC 
MATC 
See above.
Class size: 20
91931 
MATH 142 A Calculus II 
John Cullinan

M W 8:309:50 am 
HEG 308 
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: 20
91932 
MATH 142 B Calculus II 
Silvia Saccon 
M W 1:302:50 pm 
HEG 308 
MC 
MATC 
See above.
Class size: 20
91933 
MATH 142 C Calculus II 
Jules Albertini

M W 3:104:30 pm 
HEG 204 
MC 
MATC 
See above.
Class size: 20
91935 
MATH 242 Elementary Linear Algebra 
Stefan MendezDiez

M W 11:50 am – 1:10 pm 
RKC 100 
MC 
MATC 
This
course will cover the basics of linear algebra in ndimensional Euclidean
space, including vectors, matrices, systems of linear equations, determinants,
eigenvalues and eigenvectors, as well as applications of these concepts to the
natural, physical and social sciences.
Prerequisite:
Math 142 or permission of the instructor.
Class size: 18
91936 
MATH 245 Intermediate Calculus 
Ethan Bloch

T Th 1:302:50 pm 
HEG 204 
MC 
MATC 
This course continues the study of calculus begun
in MATH 141142. Topics covered include
double and triple integrals in curvilinear coordinates, sequences and series,
power series, and an introduction to ordinary differential equations.
Prerequisite: MATH 142 or permission of the instructor.
Class
size: 18
91938 
MATH 261 Proofs and Fundamentals 
Steven Simon

M W 1:302:50 pm 
RKC 101 
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
91939 
MATH 301 SCIENTIFIC COMPUTING 
Stefan MendezDiez

T
Th 1:30 pm – 2:50 pm 
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: A course in linear
algebra (MATH 213, MATH 242, or PHYS 221) and one of CMSC 141, MATH 245, or
PHYS 222, or permission of the instructor.
Class size: 15
91941 
MATH 328 Probability 
Steven
Simon 
M W 3:104:30 pm 
RKC 101 
MC 
MATC 
A calculusbased introduction to probability
with an emphasis on computation and applications. Topics include continuous and
discrete random variables, combinatorial methods, conditional probability,
joint distributions, expectation, variance, covariance, laws of large numbers,
and the Central Limit Theorem. Students will gain practical experience using
mathematical software to run probability simulations. Prerequisite: A course in
multivariable calculus (such as MATH 241, MATH 245, or PHYS 221) or permission of the instructor. Class
size: 15
91942 
MATH 332 Abstract Algebra 
Lauren Rose

M W 1:302:50 pm 
RKC 111 
MC 
MATC 
An introduction to modern
abstract algebraic systems. The structures of groups, rings, and fields are studied
together with the homomorphisms of these objects. Topics include equivalence
relations, finite groups, group actions, integral domains, polynomial rings,
and finite fields. Prerequisites: MATH 261 (Proofs and Fundamentals) or
permission of the instructor. Class
size: 15
91943 
MATH 361 Real Analysis 
John Cullinan

M W 10:1011:30 am 
HEG 204 
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: MATH 261 (Proofs
and Fundamentals) and a course in multivariable calculus (such as MATH 241,
MATH 245, or PHYS 221), or permission of the instructor. At least one other 300level mathematics
course is recommended, Class size: 15
Crosslisted
courses:
91889 
BIO 244 Biostatistics 
Arseny Khakhalin

W F 1:304:30 pm 
RKC 115 
MC 
MATC 
Crosslisted: Environmental
& Urban Studies; Global Public Health; Mathematics
91923 
CMSC 352 Machine Learning 
Sven Anderson

M F 8:309:50 am 
RKC 107 
MC 
MATC 
Crosslisted: Mathematics
91955 
PHYS 221 Mathematical Methods I 
Matthew Deady

M W 8:309:50 am
Th 1:302:50 pm 
HEG 106 HEG 107 
MC 
MATC 
Crosslisted: Mathematics