91552 
ARC 150 Algebra Workshop 
Maria Belk 
. T .
. . 
7:00 – 9:00 pm 
RKC 115 
N/A 
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 meets for the first ten weeks of the semester, and it will be graded Pass/Fail. No distributional credit is earned. Class size: 20
91553 
ARC 190 Algebra, Trigonometry and Functions 
Maria Belk 
. . W
. . 
7:00 – 9:00 pm 
RKC 115 
N/A 
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 meets for the first ten weeks of the semester, and will be graded Pass/Fail. No distributional credit is earned. Class size: 20
91227 
MATH 110
Precalculus Mathematics 
Cliona Golden 
. T . Th . 
10:10  11:30 am 
HEG 308 ALBEE 100 
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. Students who need to brush up on their Precalculus skills are encouraged to enroll concurrently in ARC 150. Prerequisites: passing score on Part I of the Mathematics Diagnostic. Class size: 24
91225 
MATH 123 A Statistics
for Everyday Life 
Cliona Golden 
M . W . . 
10:10  11:30 am 
HEG 102 ALBEE 100 
MATC 
Statistics is everywhere these days. It is used in the stock market, in weather forecasting, in medical studies, by insurance companies, in quality testing, and in many other areas. This course will introduce core ideas in statistical reasoning to enable you to make sense of and (in)validate the statistics you encounter in the media, in your classes, and in everyday life. Prerequisite: Precalculus or the equivalent. Class size: 24
91226 
MATH 123 B Statistics
for Everyday Life 
Cliona Golden 
M . W . . 
3:10 4:30 pm 
HEG 204 ALBEE 100 
MATC 
See description above. Class size: 24
91228 
MATH 141 A Calculus I 
Jennie D'Ambroise 
. . W . F 
11:50 1:10 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: Precalculus or the equivalent. Class size: 24
91229 
MATH 141 B Calculus I 
Jennie D'Ambroise 
. . W . F 
1:30 2:50 pm 
HEG 204 
MATC 
See description above. Class size: 24
91223 
MATH 141 C Calculus I 
Samuel Hsiao 
M . W . . 
8:30 9:50 am 
HEG 204 
MATC 
See description above. Class size: 24
91224 
MATH 141 D Calculus I 
Samuel Hsiao 
M . W . . 
10:10  11:30 am 
HEG 204 
MATC 
See description above. Class size: 24
91230 
MATH 142 A Calculus II 
Ethan Bloch 
M . W . . 
1:30 2:50 pm 
HEG 102 
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. Prerequisites: Mathematics 141 or the equivalent. Class size: 24
91231 
MATH 142 B Calculus II 
Ethan Bloch 
M . W . . 
3:10 4:30 pm 
HEG 308 
MATC 
See description above. Class size: 24
91232 
MATH 142 C Calculus II 
Gregory Landweber 
. T . Th . 
10:10  11:30 am 
RKC 102 
MATC 
See description above. Class size: 24
91233 
MATH 211
Intro:Differential Equations 
Jennie D'Ambroise 
. T . Th . 
11:50 1:10 pm 
RKC 111 
MATC 
Differential equations are widely used to model real phenomena, such as disease transmission or mechanical vibrations. This course is an introduction to ordinary differential equations and their many applications. The focus is on first and secondorder equations and firstorder linear systems. Topics include analytical, graphical, and numerical methods, existence and uniqueness of solutions, and computer simulation. Applications will be selected from biology, physics, and other disciplines and will vary according to the instructor. Prerequisites: Mathematics 142 or equivalent. Class size: 18
91234 
MATH 212 A Calculus III 
James Belk 
M . W . . 
11:50 1:10 pm 
RKC 102 
MATC 
This course investigates differentiation and integration of multivariable functions. Topics covered include vectors, coordinate systems, vector valued functions, partial derivatives, gradients, Lagrange multipliers, multiple integrals, change of variables, line integrals, Green’s theorem, and Stokes’ theorem. Prerequisite: Mathematics 142 or the equivalent. Class size: 24
91235 
MATH 212 B Calculus III 
James Belk 
M . W . . 
3:10 4:30 pm 
RKC 101 
MATC 
See description above. Class size: 24
91236 
MATH 242
Linear Algebra w/Applications 
Gregory Landweber 
. T . Th . 
1:30 2:50 pm 
RKC 111 
MATC 
Crosslisted: Cognitive Science 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. Equal time will be given to computational, applied, and theoretical aspects of the course material. Prerequisite: Math 142 or permission of the instructor. Class size: 20
91237 
MATH 261
Proofs and Fundamentals 
Lauren Rose 
. . W . F 
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: Mathematics 142, or permission of instructor. Class size: 15
91238 
MATH 299
Problem Solving Seminar 
Lauren Rose 
. . . Th . 
3:10 4:30 pm 
HEG 308 
MATC 
2 credits This course is an introduction to mathematical problem solving, designed for any student who has taken (or is taking concurrently) a mathematics course at the 200level. Students will work in groups to solve fun math problems that arise throughout the mathematics curriculum. Most of the problems will be stated in terms of elementary combinatorics, geometry, algebra, number theory, and calculus. We will also work on problems that arise in the context of a game or a puzzle. Students will learn standard approaches and techniques to solving problems at varying levels of difficulty. This course is graded Pass/Fail. Corequisite: Any math course at the 200 level or higher. Class size: 20
91239 
MATH 316
Combinatorics 
Samuel Hsiao 
M . W . . 
3:10 4:30 pm 
ALBEE 106 
MATC 
Combinatorial mathematics is the study of how to combine objects into finite arrangements. Topics covered in this course are chosen from enumeration and generating functions, graph theory, matching and optimization theory, combinatorial designs, ordered sets, and coding theory. Prerequisites: Math 261 or permission of instructor. Class size: 15
91240 
MATH 322
Operations Research 
Maria Belk 
M . W . . 
11:50 1:10 pm 
RKC 111 

Operations research is
the study of techniques for finding optimal solutions to complex decisionmaking
problems. It tries to answer questions such as how to schedule classes with a limited
number of classrooms on campus, how to determine a diet that is both rich in
nutrients and low in calories, or how create an investment portfolio that meets
investment needs. Techniques covered include linear programming, network flows,
integer/combinatorial
optimization, and nonlinear programming. Prerequisites: Mathematics 212 and Mathematics 242 Class size: 15
91241 
MATH 332
Abstract Algebra 
Ethan Bloch 
M . W . . 
10:10  11:30 am 
HEG 308 
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). Prerequisite: Mathematics 261, and Mathematics 213 or 242, or permission of the instructor. Class size: 15
91615 
MATH 352
Differential Geometry 
James Belk 
. T . Th . 
1:30 2:50 pm 
RKC 101 
MATC 
This course will use methods from multivariable calculus to study the geometry of curves and surfaces in three dimensions. Topics covered will include curvature and torsion of curves, geometry of surfaces, geodesics, spherical and hyperbolic geometry, minimal surfaces, Gaussian curvature, and the GaussBonnet theorem. Time permitting, we may also discuss applications to subjects such as cartography and navigation, shapes of soap bubbles, computer graphics, image processing, and general relativity. Prerequisites: Mathematics 212, Mathematics 242, and Mathematics 261, or permission of the instructor. Class size: 15
91242 
MATH 361
Real Analysis 
Gregory Landweber 
M . W . . 
1:30 2:50 pm 
RKC 111 
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 or permission of the instructor. Class size: 15
91613 
MATH 384
Computational Algebraic Geometry 
Lauren Rose 
. T . Th . 
11:50 1:10 pm 
HEG 308 
MATC 
This course is an introduction to computational algebraic geometry and commutative algebra. We will explore the idea of solving systems of polynomial equations by viewing the solutions to these systems as both algebraic and geometric objects. We will also see how these objects can be manipulated using the Groebner basis algorithm. This course will include a mixture of theory and computation as well as connections to other areas of mathematics and to computer science. Prerequisite: Math 332. Class size: 15