Course Descriptions
MATH 180 Calculus I
Differentiation, curve sketching, maximum-minimum problems, related rates, mean-value theorem, antiderivative, Riemann integral, logarithm, and exponential functions.
MATH 181 Calculus II
Techniques of integration, arc length, solids of revolution, applications, polar coordinates, parametric equations, infinite sequences and series, power series.
MATH 210 Calculus III
Vectors in the plane and space, vector valued functions, functions of several variables, partial differentiation, maximum-minimum problems, double and triple integrals, applications, Green's theorem. Three hours of lecture-discussion and one hour of laboratory per week.
MATH 310 Applied Linear Algebra
Matrices, Gaussian elimination, vector spaces, LU-decomposition, orthogonality, Gram-Schmidt process, determinants, inner products, eigenvalue problems, applications to differential equations and Markov processes.
MATH 320 Linear Algebra I
Linear equations, Gaussian elimination, matrices, vector spaces, linear transformations, determinants, eigenvalues, and eigenvectors.
MATH 330 Abstract Algebra
Sets, properties of integers, groups, rings, fields.
MATH 425 Linear Algebra II
Canonical forms of a linear transformation, inner product spaces, spectral theorem, principal axis theorem, quadratic forms, special topics such as linear programming.
MthT 410 Advanced Euclidean Geometry I
A transformational approach to the geometry of the Euclidean plane is developed through the use of specific activities.
MthT 411 Advanced Euclidean Geometry II
Axioms for Euclidean geometry are developed based upon reflections. Further concepts in Euclidean geometry that arise from these axioms are explored.
Stat 381 Applied Statistical Methods I
Introduction to probability, random variables, sampling distributions, estimation, confidence intervals, and tests of hypotheses on a post-calculus level. Includes SAS and SPSSX applications.
MthT 420 Methods of Structured Programming I
Structured programming teaching aids such as Karel the Robot and ELAN0, data types, control structures, procedures, functions, efficiency of algorithms, arrays and recursion.
Stat 401 Introduction to Probability
Probability spaces, random variables and their distributions, conditional distribution and stochastic independence, special distributions, sampling distributions, limit theorems.
MATH 300 Writing for Mathematics
Fulfills Writing in the Discipline requirement. Prerequisites: Grade of C or better in Math 210 and approval of the Department. Students must have declared a major in the Mathematics, Statistics, and Computer Science Department.
MthT 430 Mathematical Analysis for Teachers I
Basic properties of numbers, functions, graphs, limits, continuity, completeness of the system of real numbers.
MthT 400 Methods of Teaching Secondary Mathematics I
To be taken in year prior to student teaching. Philosophies, issues, techniques, and styles of teaching high school mathematics. Implications of psychological models. Mathematics in the evolving curriculum. Preparation of lessons.
MthT 401 Methods of Teaching Secondary Mathematics II
Philosophies, issues, techniques, and styles of teaching high school mathematics. Preparation of diverse lessons. Preclinical experiences.
MthT 438 Educational Practice with Seminar I
Graduate credit only with approval of department. The first half of a two-segment sequence of practice teaching, including seminar, to meet certification requirements for teaching in the secondary school.
MthT 439 Educational Practice with Seminar II
Graduate credit only with approval of the department. The second half of a two-segment sequence of practice teaching, including seminar, to meet certification requirements for teaching in the secondary school.
