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School of Science

Department of Mathematics

000 and 100 Level Math Courses

000 Level Math Courses

MA 050, Pre-algebra

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

Course Champions – Laura Turner and Colleen Sisinni

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: MA 050 passed with a grade of “C-” or higher, if required.


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; zero, 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: MA 050 passed with a grade of “C-” or higher, if required, or three credits of mathematics.


MA 105, Mathematical Modeling in the Social Sciences

Course Champions – David Marshall and Betty Liu

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, 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: MA 050 passed with a grade of “C-” or higher, if required.


MA 107, Mathematics in the Arts

Study of artistic design in architecture, painting, sculpture, and crafts; math of music. Prerequisite: MA 050 passed with a grade of “C-” or higher, if required.


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 MA 125. Prerequisite: Appropriate score in the mathematics placement test, or MA 101 passed with a grade of “C-” or higher.


MA 115, Mathematical Modeling in the Biological Sciences

Course Champion – Joseph Coyle

Provides a development of an understanding of linear, exponential, logarithmic, polynomial and trigonometric functions related to biological phenomena. The development is from an algebraic, graphical and modelling perspective. In addition, the solutions of equations and inequalities related to these functions are studied. Use of related technology is included. Prerequisite:  MA 101 passed with a grade of “C-” or higher, if required.


MA 116, Calculus for Biology

Course Champion – 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: MA 115 or MA 109, passed with a grade of “C-” or higher, or placement directly into this course.


MA 117, Quantitative Analysis for Business I

Course Champion – 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 MA 101 or MA 105, passed with a grade of “C-” or higher.


MA 118, Quantitative Analysis for Business II

Course Champion – Susan Marshall

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: MA 117, passed with a grade of “C-” or higher, or permission of the Department of Mathematics.


MA 120, Introduction to Mathematical Reasoning

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: MA 101, passed with a grade of “C-” or higher, or placement level 3.


MA 125, Calculus with Analytic Geometry I

Course Champion – Emanuel Palsu-Andriescu

Functions, limits, continuity, and the differential and integral calculus of algebraic trigonometric, and exponential functions. Prerequisite: Appropriate score in the mathematics placement test or MA 109 or MA 115,  passed with a grade of “C-” or higher, if required.


MA 126, Calculus II

Course Champion – Emanuel Palsu-Andriescu

Functions, limits, continuity, and the differential and integral calculus of algebraic, trigonometric, exponential functions. Prerequisite: MA 125, passed with a grade of “C-” or higher.


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: MA 101, passed with a grade of “C-” or higher, or placement level 3.


MA 151, Statistics with Applications

Course champion – Johnny Pang

Analysis of data, probability, random variables, normal distribution, sampling theory, confidence intervals, and statistical inference. Not open to computer science majors or to students required to complete MA 125, except software engineering majors. Prerequisite: MA 101, MA 105 or MA115, passed with a grade of “C-” or higher, or mathematics placement exam score at the MA 109 level.