Mathematics Courses

MATH 131 Calculus I (4)

Prerequisite: MATH 109 or 4 years of college-bound math. An introduction to differential calculus of functions of one variable. Covers concepts, mechanics, and applications of the derivative with an introduction to integral calculus.
Offered every semester.

MATH 132 Calculus II (4)

Prerequisite: MATH 131. An introduction to integral calculus of functions of one variable. Covers the definite integral, techniques of integration, and applications of the integral, as well as sequences, series, and polynomial approximations of functions.
Offered every semester.

MATH 215 Applied Statistics (4)

Prerequisite: MATH 109 (Pre-calculus) or placement at the MATH 131 (Calculus I) level or above, or instructor permission. Introduces fundamental concepts of methods of statistics. Key ideas to be studied include data collection strategies and their scope of conclusion, the role of randomness in collecting data and drawing conclusions, graphical and numerical summaries of data, assessing statistical significance and estimating with confidence.
Offered every semester.

MATH 231 Multivariable Calculus (3)

Prerequisite: MATH 132. Studies the principles, methods and applications of calculus in 3 or more dimensions.
Offered every fall.

MATH 240 Linear Algebra (4)

Prerequisite: MATH 131. This course introduces matrices, vector spaces and linear mappings.
Offered every spring.

MATH 330 Mathematical Modeling (3)

Prerequisites: MATH 132 and COSC 110. This course introduces techniques for developing and interpreting mathematical models in several contexts such as: graphical models, proportionality, optimization, dynamic systems, probability, simulation and Markov processes.
Offered every odd spring.

MATH 341 Probability (3)

Prerequisite: MATH 132. This course introduces an axiomatic approach to probability, sample spaces and the study of distribution functions.
Offered every even fall.

MATH 342 Statistics (3)

Prerequisites: MATH 341 (MATH 231 recommended). This course is about the study of distribution functions, estimation techniques and hypothesis testing.
Offered every odd spring.