MATH 516 Linear Statistical Modeling Methods with SAS (3:3:0)
This course is intended for graduate students and working professionals who engage in applied research. Statistical linear modeling methods are used in conjunction with SAS computer software to analyze data from experiments and observational studies. Topics include regression analysis, analysis of variance, multiple comparisons and multiple tests, mixed models, analysis of covariance, logistic regression, and generalized linear models. Prerequisite: Satisfactory completion of a college course in statistics. (Offered fall term – odd years)
Syllabus MATH 516

MATH 520 Number Theory (3:3:0)
This course includes a consideration of the fundamental laws of integers, the linear Diophantine equation, the Euclidean algorithm, prime numbers, divisibility, congruencies, the Theorems of Fermat and Wilson, primitive roots, and indices. (Not regularly offered)
Syllabus MATH 520

MATH 530 Trends in Secondary Education (3:3:0)
This course will examine current and proposed secondary mathematics curricula and models of teaching and learning mathematics. Major foci will be mathematical problem solving and integrating technology into the mathematics curriculum. (Not regularly offered)
Syllabus MATH 530

MATH 531 Teaching Mathematics Using Technology (3:3:0)
Designed for in-service secondary mathematics teachers, this course will cover the use of graphing calculators, computer algebra and geometry systems, how to incorporate them into the classroom and how the availability of technology will change the mathematics that will be taught. (Not regularly offered)
Syllabus MATH 531

MATH 551 Transformational Geometry (3:3:0)
Introductory transformational geometry for teachers of mathematics will be covered. The transformations are over the 2-Dim and 3-Dim extended Euclidean Spaces. The transformations will be classified and factored by their invariants. The computer software, MathematicaTM or similar software, will be used to do the linear algebra. Applications will be made to computer graphics. (Offered spring term)
Syllabus MATH 551

MATH 570 Numerical Methods I (3:3:0)
This course will develop the numerical algorithms and error estimates for finding roots, solving equations, and curve fitting. The emphasis is on algorithms with good error characteristics and reduction of round off error. Prerequisites: MATH 320, MATH 240, and CPSC 111 or CPSC 211. (Not regularly offered)
Syllabus MATH 570

MATH 571 Numerical Methods II (3:3:0)
This course is a continuation of the Numerical Methods I and deals with algorithms for interpolation, differentiation, integration, ODE, and foreign values. (Not regularly offered)
Syllabus MATH 571

MATH 577 Independent Study in Mathematics (Semester hours arranged)
Under the guidance of a qualified faculty member, the student pursues a program of readings, study, and research related to professional knowledge and understanding in Mathematics. Topics should be established prior to enrollment. Prerequisite: Permission of the chair of the Department of Mathematics.