Mathematics Course Descriptions
MTH 200 Statistical Methods I
This course is an introduction to descriptive statistics, including graphs, sampling distributions, measures of central tendency, probability theory, hypothesis testing through nonparametic tests, confidence intervals, correlation and regression. Statistical applications, hypotheses testing and the use of statistical software for graphing is emphasized. Prerequisite: MTH 125 or consent of instructor. General Education: Critical and Collaborative Thinking â Quantitative Reasoning (beginning fall 2009) General Education: Mathematics (prior to 2009)
MTH 210 Calculus I
This course is an introduction to differential and integral calculus. Students will learn to calculate the rates of change of functions including trigonometric, exponential and logarithmic functions and how to solve initial value and optimization problems. Students will learn the Fundamental Theorem of Calculus and integration techniques. Prerequisite: MTH 128 or math placement. General Education: Critical and Collaborative Thinking â Quantitative Reasoning (beginning fall 2009) General Education: Mathematics (prior to 2009)
MTH 220 Calculus II
This course is a continuation of MTH 210. Students will learn the Fundamental Theorem of Calculus, separation of variables indifferential equations, topics in integration, Taylor polynomials and series. Prerequisite: MTH 210. General Education:Mathematics (Prior to Fall 2009)
MTH 260 Intro to Computer Programming
This course provides an introduction to a high-level computer language. Emphasis will be on learning the styles, techniques and methodologies necessary to design and develop readable and efficient programs. The course will also include statistical, business and biological programming applications. Prerequisites: Sophomore Standing
MTH 305 Calculus III
This first course in multivariate calculus includes vector functions and their derivatives, plane curves, surfaces, partial derivatives, multiple integrals and Green'sTheorem. Prerequisite: MTH 220.
MTH 315 Linear Algebra/Differential Eqns
This course is an introduction to the basic concepts of linear algebra and ordinary differential equations. In the field of linear algebra, weâll cover matrices and matrix operations, Gaussian elimination, matrix inverses, determinants, vector spaces and subspaces, eigenvalues, eigenvectors, and linear transformations. In the field of ODEs weâll cover separable and first-order linear equations, 2nd order linear equations with constant coefficients, method of undetermined coefficients, simple harmonic motion, and systems of differential equations. Applications to physical and life sciences will also be explored. Prerequisites: MTH 220 and MTH 260
MTH 325 Intro to Probability Theory
This course is an introduction to probability, including basic combinatorics and set theory; independence; conditional probability; random variables; specific discrete and continuous probability distributions; jointly distributed random variables; expectation; moments and moment generating functions; and various limittheorems. Prerequisite: MTH 210 or consent of instructor.
MTH 330 Modern Algebra
This course is an introduction to algebraic systems, including groups, rings and integral domains. Prerequisite: MTH 300 or consent of instructor.
MTH 340 Modern Geometry
This axiomatic study of various geometries includes Euclidean geometry and hyperbolic geometry. Students will also study historical and philosophical implications of the development of non-Euclidean geometries. Prerequisite: MTH 210 or consent of instructor.
MTH 250 Discrete Mathematics
This course introduces discrete methods of mathematical problem solving. Topics include set theory, sequences and mathematical induction, combinatorics, probability and graph theory. Prerequisite: MTH 210.
MTH 299 Selected Topics - Basic
This course covers topics in basic mathematics not normally included in freshman and sophomore level courses. Prerequisite:Consent of Instructor
MTH 350 Statistical Methods II
This project-oriented course in statistics and experimental design includes categorical analysis, multiple regression, the analysis of variance, factor analysis and other statistical techniques as appropriate. Prerequisite: MTH 200.
MTH 380 Research Project
In consultation with the instructor, students may determine a topic for research. Evaluation consists of a paper and a presentation before and audience of the student's peers. Prerequisite: Consent of instructor.
MTH 450 Internship
MTH 399 Special Topics - Advanced
MTH 499 Selected Topics - Advanced
This course covers topics in advanced mathematics not normally covered in junior and senior level courses. Prerequisite:Consent of instructor.
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