MATH 1067 Algebraic Concepts and Relationships. The study of the properties of the integers, rationales, real and complex numbers and polynomials from an algebraic point of view; conjectures and intuitive proofs in number theory; the properties of linear and quadratic functions. Representations of real-world relationships with physical models, charts, graphs, equations and inequalities. An emphasis on the development of problem-solving strategies and abilities.
MATH 1077 Pre-Calculus Concepts and Relationships. A modeling approach to the study of functions (including logarithmic, exponential, and trigonometric function), data analysis and matrices; lays a foundation for future course work in calculus, finite mathematics, discrete mathematics and statistics.
MATH 2121 Calculus for the Life Sciences I. Introductory integral calculus with applications for students in the biological sciences. Introduction to and differentiation of the exponential, logarithmic and trigonometric functions; with applications of exponential and periodic phenomena, related rates, regions of increase, and extrema.
MATH 2122 Calculus for the Life Sciences II. Introductory integral calculus with the applications for students in the biological sciences. Introduction to and applications of definite integrals. Probability density functions. Functions of several variables, partial derivatives, simple differential equation and difference equation models, and the arithmetic of matrices and vectors.
MATH 2282 Data Analysis and Probability. Collection of data from experiments and surveys. Organizing and representing data. Interpreting data for the purpose of judging claims, making decisions, or making predictions.
MATH 3166 Euclidean Geometry. Study of Euclidean geometry using deductive and inductive mathematical reasoning. Formal proofs are required.
MATH 3237 Discrete Mathematics. Introduction to logic sets, mathematical induction, and matrices. Applications of discrete mathematics in probability, linear programming, dynamical systems, social choice and graph theory.
MATH 3239 Applied Mathematics Via Modeling. Consideration of real world problems that can be modeled with algebra, geometry, calculus, statistical, probabilistic, discrete, or other mathematical techniques. Mathematical modeling processes will be examined through historical and contemporary modeling success stories. Power and limitations of mathematical modeling will be considered.
MATH 4319 Teaching Mathematics in the Middle Grades. Four hours per week. Requires 8-10 clock hours of appropriate field experience. A study of techniques and methods of teaching mathematics in grades 6-9.
