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 pre-calculus 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 decision-making. 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    10:10-11:30 am

  W         11:50-1:10 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    3:10-4:30 pm

  W         5:00-6:20 pm

OLINLC 115

HEG 308

MC

MATC

See above.  Class size: 20

 

91927

MATH 141 A

 Calculus I

Silvia Saccon

 T  Th    1:30-2:50 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      10:10-11:30 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      8:30-9:50 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      1:30-2:50 pm

HEG 308

MC

MATC

See above.  Class size: 20

 

91933

MATH 142 C

 Calculus II

Jules Albertini

M  W      3:10-4:30 pm

HEG 204

MC

MATC

See above.   Class size: 20

 

91935

MATH 242

 Elementary Linear Algebra

Stefan Mendez-Diez

M  W      11:50 am – 1:10 pm

RKC 100

MC

MATC

This course will cover the basics of linear algebra in n-dimensional 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    1:30-2:50 pm

HEG 204

MC

MATC

This course continues the study of calculus begun in MATH 141-142.  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      1:30-2:50 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 Mendez-Diez

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      3:10-4:30 pm

RKC 101

MC

MATC

A calculus-based 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    1:30-2:50 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      10:10-11:30 am

HEG 204

MC

MATC

The fundamental ideas of analysis in one-dimensional 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 300-level mathematics course is recommended,  Class size: 15

 

 

 

Cross-listed courses:

 

91889

BIO 244

 Biostatistics

Arseny Khakhalin

  W  F     1:30-4:30 pm

RKC 115

MC

MATC

Cross-listed: Environmental & Urban Studies; Global Public Health; Mathematics

 

91923

CMSC 352

 Machine Learning

Sven Anderson

M    F     8:30-9:50 am

RKC 107

MC

MATC

Cross-listed: Mathematics 

 

91955

PHYS 221

 Mathematical Methods I

Matthew Deady

M  W      8:30-9:50 am

     Th     1:30-2:50 pm

HEG 106

HEG 107

MC

MATC

Cross-listed: Mathematics