000 and 100 Level Math Courses
000 Level Math Courses
MA 050, Pre-algebra
Course champion - Bruce Ralli
The language of mathematics, terms and symbols, the real number system, arithmetic operations on real numbers, including exponents and roots, emphasis on fractions and decimals, and evaluation of expressions. Special topics on divisibility, figurate numbers, and introduction to college algebra. Three hours per week, plus mandatory attendance with mathematics lab. This course cannot be used to satisfy graduation requirements.
100 Level Math Courses
MA 100, Quantitative Reasoning and Problem Solving
Basic mathematical concepts studied through solving problems in collaborative groups, examination of decision making and problem solving techniques, and various formats for representing quantitative information. Prerequisite: Mathematics 050 passed with a grade of "C-" or higher, if required.
- Text: Excursions in Modern Mathematics, by Peter Tannenbaum.
- Sample Syllabus
MA 101, College Algebra
The axioms and properties of the real number system; Manipulating expressions representing quantities; Functions and their representations as rules, graphs, or tabulations; Linear and polynomial functions; Zeros, factoring techniques, and graphical properties of polynomials; The logarithm and exponential; Solving systems of equations; Sequences and summations; Combinations and permutations. Calculators required for selected topics. This course cannot be used in satisfaction of the general education mathematics requirement. Prerequisite: Mathematics 050 passed with a grade of "C-" or higher, if required.
MA 105, Mathematical Modeling in the Social Sciences
Course champion - Dr. Richard Bastian
Exploration and aspects of algebra, mathematical modeling, and data analysis, which are important in the social sciences. Topics include an introduction to data, the use of variables and assorted kinds of graphs to represent data, the concept of function, the problem of fitting functions to data, representing change over time, rates of change, linear functions and linear models, piecewise-linear functions, and an introduction to non-linear functions. Pedagogical methods to be used include projects using real data, computer explorations, and group work. Prerequisite: Mathematics 050 passed with a grade of "C-" or higher, if required.
- Text: Explorations in College Algebra, by Linda Kime and Judith Clark
MA 109, Precalculus
The real number system, algebraic expressions, exponents, radicals, solution of equations, solutions of inequalities, functions, graphing of functions, and trigonometry. Not open to students who have successfully completed Mathematics 125. Prerequisite: Appropriate score in the mathematics placement test, or MA 101 passed with a "C-" or higher.
- Text: Fundamentals of Precalculus, by Mark Dugopolski
MA 115, Mathematical Modeling in the Biological Sciences
Course champion - Dr. Joseph Coyle
Development of an understanding of linear, exponential, logarithmic, and trigonometric functions. Introduction to linear, exponential, logarithmic, and trigonometric models of biological phenomena. Prerequisite: Mathematics 050, passed with a grade of "C-" or higher, if required.
- Text: Functions and Change, A Modeling Approach to College Algebra, by Evans and Noell
MA 116, Calculus for Biology
Course champion - Dr. Betty Liu
Introduction to calculus, from a primarily graphical perspective, through applications to biological and ecological phenomena. Topics include differentiation, integration, and differential equations. Prerequisite: Mathematics 115, passed with a grade of "C-" or higher, or placement directly into this course.
- Text: Applied Calculus, 2nd Edition, by Hughes-Hallett et al.
MA 117, Quantitative Analysis for Business I
Course champion - Dr. Susan Marshall
Linear equations and models, systems of linear equations and applications, matrices and techniques for solving systems of equations, linear programming and applications, quadratic functions and models, and exponential and logarithmic models. A computer laboratory component is incorporated. Designed for students majoring in Business Administration; other students by permission of the Mathematics Department. Prerequisite: Appropriate score in the mathematics placement test or successful completion of Mathematics 101 or 105, passed with a grade of "C-" or higher.
- Text: Mathematical Applications, 8th Edition, by Harshbarger and Reynolds
MA 118, Quantitative Analysis for Business II
Functions, limits, continuity, polynomial calculus, including optimization models, anti-derivatives, area, and applications to business models; introduction to probability and statistics as applied to business models. Prerequisite: Mathematics 117, passed with a grade of "C-" or higher, or permission of the Department of Mathematics.
- Text: Mathematical Applications, 8th Edition, by Harshbarger and Reynolds
MA 120, Introduction to Mathematical Reasoning
Course champion - Dr. Bonnie Gold
Introduction to reasoning, proof, and exposition in mathematics. Topics include Boolean logic, set theory, counting techniques, functions, mathematical induction, permutations, and the proofs of various elementary theorems. Prerequisite: Mathematics 101 passed with a grade of "C-" or higher, or placement level 3.
- Recently Used Texts: How To Prove It, 2nd Edition, by Daniel Velleman; Chapter Zero: Fundamental Notions of Abstract Mathematics, 2nd Edition, by Carol Schumacher
MA 125, Calculus I
Functions, limits, continuity, and the differential and integral calculus of algebraic, trigonometric, and exponential functions. Prerequisite: Appropriate score in the mathematics placement test or Mathematics 109, passed with a grade of "C-" or higher, if required.
- Text: Calculus, Single Variable, by Hughes-Hallet et al.
MA 126, Calculus II
Functions, limits, continuity, and the differential and integral calculus of algebraic, trigonometric, exponential functions. Prerequisite: Mathematics 125, passed with a grade of "C-" or higher.
- Text: Calculus, Single Variable, by Hughes-Hallet et al.
MA 130, Applied Discrete Mathematics
Introduction to reasoning, proof, and exposition in mathematics. Topics include Boolean logic, set theory, counting techniques, functions, mathematical induction, permutations, and the proofs of various elementary theorems. Prerequisite: Mathematics 101 passed with a grade of "C-" or higher, or placement level 3.
MA 151, Statistics with Applications
Course champion - Dr. Johnny Pang
Analysis of data, probability, random variables, normal distribution, sampling theory, confidence intervals, statistical inference. Not open to computer science majors or to students required to complete Mathematics 125 except software engineering majors. Prerequisite: Mathematics 101, 105, or 115, passed with a grade of "C-" or higher, or appropriate score on the Mathematics placement exam.
- Text: Basic Statistics for the Health Sciences, by Kuzma and Bohnenblust