functions, techniques of integration,
applications of integration, functions of
two variables, partial derivatives and
applications. Traditional testing (proctored
or in Testing Center) is used in all online
sections.
Prerequisite(s): MAT 1460 with a grade of
C or better OR satisfactory score on math
placement test
MAT 2170 - Business Statistics I
4 Cr. Hr(s).
Statistical techniques and methodology.
Graphical and tabular presentation of data,
probability, parameters, statistical
distributions, sampling, confidence
intervals, tests of hypotheses, regression,
and correlation. Three classroom, two lab
hours per week. Traditional testing
(proctored or in Testing Center) is used in
all online sections.
Prerequisite(s): MAT 0300 with a grade of
C or better OR satisfactory score on math
placement test
MAT 2180 - Business Statistics II
3 Cr. Hr(s).
Statistical inferences, including estimation,
confidence intervals, and tests of
hypotheses for means, standard deviations
and proportions; analysis of variance;
regression analysis; chi-square; business
applications. Students will develop a basic
competency using a computer spreadsheet
to perform statistical calculations. Two
classroom, two lab hours per week.
Traditional testing (proctored or in Testing
Center) is used in all online sections.
Prerequisite(s): MAT 2170 with a grade of
C or better OR satisfactory score on math
placement test
MAT 2215 - Mathematics for Machine
Learning & Artificial Intelligence
5 Cr. Hr(s).
The four pillars of machine learning are
regression, dimensionality reduction,
density estimation, and classification. This
course aims to establish the mathematical
foundation upon which to build these
pillars by covering carefully selected
topics in linear algebra, analytic geometry,
vector calculus, probability and
distributions, and optimization.
Prerequisite(s): MAT 1570 OR MAT
1580 with a grade of C or better OR
satisfactory score on math placement test
MAT 2240 - Calculus for the Life
Sciences
4 Cr. Hr(s).
This course uses calculus as a tool for
modeling applications in the life sciences.
Limits, derivatives, and integrals are
introduced and applied in this context.
Emphasis is placed on qualitative analysis
and interpretation.
Prerequisite(s): MAT 1470 with a grade of
C or better OR satisfactory score on math
placement test
MAT 2270 - Calculus & Analytic
Geometry I
5 Cr. Hr(s).
The first course of a three-semester
sequence of courses. Topics include limits
and continuity, the derivative and its
applications including related rates and
optimization, L'Hopital's rule,
antiderivatives, the Fundamental Theorem
of Calculus, integration by substitution.
Traditional testing (proctored or in Testing
Center) is used in all online sections.
Prerequisite(s): MAT 1570 OR MAT
1580 with a grade of C or better OR
satisfactory score on math placement test
MAT 2280 - Calculus & Analytic
Geometry II
5 Cr. Hr(s).
The second course of a three-semester
sequence of courses. Techniques of
integration, applications of integration,
numerical integration, improper integrals,
infinite sequences and series, power series,
parametric equations, polar coordinates,
conic sections.
Prerequisite(s): MAT 2270 with a grade of
C or better OR Approval of Department
MAT 2290 - Calculus & Analytic
Geometry III
5 Cr. Hr(s).
Vectors in the plane and space, dot and
cross product of two vectors. Lines, planes
and surfaces in space, vector-valued
functions, arc length and curvature.
Functions of several variables, partial
derivatives with applications, multiple
integrals with applications, line integrals,
surface integrals, vector fields, Green's
Theorem, the Divergence Theorem and
Stokes' Theorem.
Prerequisite(s): MAT 2280 with a grade of
C or better OR Approval of Department
MAT 2310 - Elementary Differential
Equations
4 Cr. Hr(s).
Solutions and applications of ordinary
differential equations including separable,
exact, homogeneous and non-
homogeneous linear equations and others.
Numerical approximation methods as well
as substitutions, the total differential,
separation of variables, integrating factors,
undetermined coefficients, variation of
parameters, Laplace Transforms and
power series methods are covered.
Prerequisite(s): MAT 2280 with a grade of
C or better OR Approval of Department
MAT 2320 - Linear Algebra
3 Cr. Hr(s).
Systems of linear equations, matrices,
determinants, linear transformations,
Euclidean n-space, coordinate vectors,
abstract vector spaces, dimension and
rank, eigenvalues and eigenvectors,
orthogonal vectors, least-square problems,
diagonalization, quadratic forms, singular-
value decomposition. Applications such as
Markov chains and computer graphics will
be covered. Students will be introduced to
the use of MATLAB for Linear Algebra.
Two classroom, two lab hours per week.
Prerequisite(s): MAT 2280 with a grade of
C or better OR Approval of Department
MAT 2330 - Differential Equations &
Linear Algebra
5 Cr. Hr(s).
Ordinary differential equations of first and
second order including, the Laplace
transform, numerical approximation
methods and applications. Vectors in Rn,
systems of linear equations, systems of
differential equations, matrices, linear
transformations, subspaces, dimension and
rank, coordinate vectors, determinants,
eigenvalues, eigenvectors and abstract
vector spaces.
Prerequisite(s): MAT 2280 with a grade of
C or better OR Approval of Department
MAT 2415 - Mathematics for
Elementary Education I
5 Cr. Hr(s).
This is the first of two mathematics
courses designed for future elementary
school teachers. The focus is on
understanding numbers, operations,
algebraic thinking, and number theory.
This is a mathematics content course.
Please note that this is not a teaching
methods course, but a course focusing on
using, justifying and connecting
mathematical concepts. This course
employs oral and written communication
as both a learning tool and as preparation
for handling mathematical questions which
arise in elementary school classrooms.