MATU 099 Intermediate Algebra
Presents topics such as real numbers, linear equations, inequalities, systems of equations, polynomials, fractional expressions, exponents, and quadratic equations. 3 credits.
MATU 104 Pre-Calculus Mathematics I
Presents topics such as functions and transformations, linear and quadratic functions and inequalities, matrices and desessioninants, exponential and logarithmic functions. 3 credits.
MATU 105 Pre-Calculus Mathematics II
Prerequisite: MATU 104. Students learn trigonometric functions and inverses, coordinate systems, complex numbers, conic sections, sequences and series, mathematical induction. 3 credits.
MATU 108 Fundamentals of Calculus
Prerequisite: MATU 104 or equivalent. This is a calculus course for majors in organizational leadership and social sciences. It covers the essentials of analytic geometry, differential calculus, and integral calculus with applications from organizational management, industrial technology, and social sciences. The course includes two hours per week of laboratory work in addition to the three hours per week of lecture. Lab fee: $25. 3 credits.
MATU 110, 111 Single Variable Calculus I, II
Prerequisite: MATU 105 or equivalent. Functions, limits, derivatives, integration, the definite integral, transcendental functions, plane analytic geometry. The course includes two hours per week of laboratory work in addition to the three hours per week of lecture. Lab fee: $25. 3/3 credits.
MATU 203 Introduction to Statistics
Not recommended for the student who has taken a statistics course in another department or for mathematics majors. Students study probability, analysis of data, parametric and non-parametric statistics, examples from the social sciences and the natural sciences. 3 credits.
MATU 206 Mathematics for Elementary School Teachers
Prerequisite: MATU 104 or MATU 203. This course focuses on preparing future elementary school teachers for effective mathematics instruction. Topics include problem-solving strategies, number theory, fractions, decimals, proportions and their applications to geometry, basic geometry, and probability. Conceptual understanding is emphasized. In presenting the material, several instructional techniques will be modeled. These techniques may be incorporated when preparing your own lesson plans. 3 credits.
MATU 210 Multivariable Calculus
Prerequisite: MATU 111. Students learn the calculus of functions of two or more variables and of vector-valued functions. Multiple integrals and integration in vector fields. 3 credits.
MATU 211 Linear Algebra
Prerequisite: MATU 210. Students study vector spaces, linear transformations, matrices, determinants, eigenvalues and eigenvectors. 3 credits.
MATU 250, 251 Discrete Mathematics I, II
Prerequisite: mathematics placement examination equivalent to placement in pre-calculus. This course provides the student with an introduction to the fundamental Mathematics of discrete phenomena and computation. This is a key course in the curriculum as it provides the theoretical background needed for many upper-division courses including Data Structures (combinatorics, formal languages), Logic Design (Boolean algebras, number representation) and Integrated Circuit Design (automata theory, finite state minimization, graph layout). 3/3 credits.
MATU 329 Experimental Topics in Mathematics
An examination of selected topics in Mathematics relevant to evolving areas in the field. Syllabi must be approved by the Division Chair and announced to the Curriculum and Academic Committee prior to being offered. May be repeated for credit provided that the course content is different each time. 3 credits.
MATU 346 Quantitative Methods for Computer Information Systems
Prerequisites: MATU 108 or MATU 110, MATU 203. Students learn to use models developed through quantitative methods of problem-solving. Key topics include linear programming, network analysis, queuing theory, and decision theory. 3 credits.
MATU 350 Differential Equations
Prerequisite: MATU 211. Students gain a solid foundation in ordinary differential equations and introduce applications of differential equations to the sciences. 3 credits.
MATU 351 Applied Mathematics
Prerequisite: MATU 350. Students gain a solid foundation in applied mathematics and mathematical modeling. 3 credits.
MATU 360, 361 Mathematical Statistics I,II
Prerequisites for MATU 360: MATU 211; for MATU 361: MATU 360. Mathematical statistics, beginning with the elementary parts of the theory of probability, including probability spaces, random variables, probability distributions, expectation, the law of large numbers and the central limit theorem, which are fundamental to the study of statistics, and proceeding from there to the statistical concepts of sampling, point estimation, interval estimation, tests of hypotheses, regression and correlation, and analysis of variance. Appropriate applications of concepts are provided. 3/3 credits.
MATU 403 Statistics for Applied Sciences
Prerequisite: MATU 203 or equivalent. A second course in applied statistics for research and development in the applied sciences and clinical practice. Beginning with the basic notions of linear regression and the analysis of variance, the course progresses to the principles of experimental design, survey methods and the elements of observational studies. The course emphasizes modeling and interpretation of data analyses that arise from research in the applied sciences, including computer information systems, food science and nutrition, physical therapy and the social sciences. 3 credits.
MATU 451 Complex Variables
Prerequisite: MATU 210 (Multivariable Calculus) or equivalent. This course is an introduction to complex variables with an emphasis on engineering applications. Assignments for this class are designed to develop and re-enforce understanding of the mathematical concepts involved. Major topics to be covered include: complex numbers, analytic functions, elementary functions in the complex plane, and complex integration, series representation of complex functions, residue theory, conformal mapping and transforms useful in engineering and applied mathematics. 3 credits.
MATU 454 Numerical Analysis I
Prerequisite: MATU 211. Students study and come to understand the basic algorithms of numerical computation as used in approximation, numerical integration and differentiation, solution of equations, and solution of differential equations. 3 credits.
MATU 455 Numerical Analysis II
Prerequisite: MATU 454. The objective of this course is to provide for the understanding of linear systems of equations and the methods for the solutions of the same. 3 credits.
MATU 499 Independent Study
Prerequisites: Instructor's approval and approval of petition. Directed reading and/or research designed to meet specific needs of superior upper division students. 1-3 credits.