MA 100 Basic Mathematics (3) This course develops a practical appreciation for mathematics and promotes mastery of mathematical operations. Concepts from elementary algebra are introduced. Credit for MA 100 is not applicable toward math elective requirements.
MA 111 College Mathematics (3) Prereq.: MA 111 placement exam or at least “C” in MA 100. Students learn application problem solving in this arithmetic-based course. Real numbers, ratios, percents, formulas, statistics, and selected topics for consumers are studied.
MA 121 College Algebra I (3)
Prereq.: At
least “C” in MA 100 or 101.
Students learn about
exponents, radicals, rational expressions, linear and
quadratic equations, inequalities, systems of equations,
and applications.
MA 122 College Algebra II (3) Prereq.: MA 121; or two years of high school algebra. Students learn about functions and equations, linear modeling, programming of inequalities, graphing techniques, and applications.
MA 127 Math Skills for Nurses (1) Prereq.: Nursing major. This course is designed to develop the student’s basic skills of mathematics needed in the nursing profession. The course deals with the basic operations with whole numbers, fractions, and decimals as well as ratios, proportions, and percents. Fall sem.
MA 131 College Trigonometry (3) Prereq.: MA 122. Students learn various methods of solving triangular problems. The analytical function of trigonometry is demonstrated through investigations of identities and simple equation solutions. The additional topics of exponential and logarithmic functions, matrices, sequences, and probability are discussed.
MA 212 Mathematics for the Secondary School (3) Prereq.: MA 111 or sophomore or above with a major in secondary education department or mathematics major. Students learn the basic topics included in general mathematics and algebra courses in the secondary school with emphasis on concept presentation and techniques of skill mastery. Spring sem.
MA 220 Business Calculus (3) Prereq.: MA 122. Students learn about limits, differentiation, and integration with an emphasis on business applications. Fall sem.
MA 221 Calculus I (4) Prereq.: MA 131; or high school trigonometry, pre-calculus, or advanced mathematics. Students learn the introductory topics through differentiation and integration of algebraic functions and applications. Fall sem.
MA 222 Calculus II (4) Prereq.: MA 221. Students learn calculus techniques for the transcendental functions, methods of integration, further analytical geometry, and applications. Spring sem.
MA 224 Discrete Mathematics (3) Prereq.: MA 131. Students learn basic mathematical logic and proofs, number theory, graph theory, counting techniques, relations, Combinatorics and mathematical induction and recursion. Emphasis is placed on applying these concepts in computer science and software engineering courses. Spring sem.
MA 302 College Geometry (3) Prereq.: MA 221. Students demonstrate understanding of advanced Euclidean geometry with topics including circles, constructions, loci, polygons, triangles, congruence, and similarity. Spring sem.
MA 303 Linear Algebra (3) Prereq.: MA 131 and sophomore or above. Students learn about vector spaces, Euclidean spaces, the foundational propositions of linear algebra, matrices, and quadratic forms in a MATLAB framework and with application to real world problems. Fall sem.
MA 321 Calculus III (4) Prereq.: MA 222. Students learn about polar coordinates, improper integrals, vectors and solid analytical geometry, series, Taylor’s formula, partial differentiation, and multiple integrals. Fall sem.
MA 326 Statistics (3) Prereq.: MA 131 or concurrent enrollment in MA 221; and sophomore or above. This course emphasizes examples and problems chosen specifically for the business, science, and mathematics student. Although descriptive statistics is discussed, the primary concern is for students to master the concepts and techniques for statistical analyses used in inferential and predictive statistics. Fall sem.
MA 330 Quantitative Methods (3) Prereq.: At least “C” in BA 322 or MA 326. Students learn many commonly used quantitative management science techniques and the role they play in the decision-making process for businesses. Some of the techniques studied include decision analysis, sensitivity analysis, what-if sampling, utility in decision making, time series forecasting, linear programming models (both graphical and computer-based), and project scheduling with PERT/CPM. Students solve actual business problems using these techniques. Some qualitative methods for decision making are also discussed.
MA 331 Abstract Algebra (3) Prereq.: MA 224. Students learn about various number systems and the solvability of equations within these systems. The topics covered include binary operations, operation-preserving maps, groups, rings, fields, and the Fundamental Theorem of Algebra. Fall odd.
MA 343 Mathematics of Complex Variables (3) Prereq.: MA 321. Students learn about complex variables, analytic functions, complex integrals, power series, residues and poles, and applications of complex variables. Emphasis is placed on applying these concepts in engineering courses. Fall sem.
MA 401 Differential Equations (3) Prereq.: MA 321. Students learn the methods for solving differential equations of the first and second order; also, higher order equations and various methods of finding approximate solutions to differential equations are explained. Spring sem.
MA 407 Applied Mathematics (3) Prereq.: MA 222. Students learn practical applications of mathematics to the physical world. This course is designed through the use of EXCEL, MATLAB, and other graphing utilities to show the usefulness of mathematics in solving problems that arise in the business, science, and social science communities. Spring even.
MA 432 Advanced Calculus (3) Prereq.: MA 224 and 321. This course is designed to provide the mathematics student with a better understanding of first-year calculus through the study of the properties of real numbers and functions of real numbers, leading to the Fundamental Theorem of Calculus. The topics covered include sequences, functions, limits, continuity, differentiation, Riemann sums, and integration. Spring odd.