Mathematics
Professor Patricia Kiihne
Professor James Marshall
Professor Mary Marshall
Professor Todd Oberg
The courses in mathematics are designed to satisfy the general cultural needs of students and to provide a broad background for those who plan a career in mathematics, computer science, actuarial sciences, engineering sciences, or the natural sciences.
An exception to the tencourse requirement is the following. The department considers a student who places into Calculus II or Calculus III and completes that course with a ‘C’ or better to have met the major requirements for the preceding calculus courses. That is, a student who places into MA 223 and completes it with a ‘C’ or better is not required to take MA 213 for the major; a student who places into MA 233 and completes it with a ‘C’ or better is not required to take MA 213 or MA 223 for the major.
Prerequisites for mathematics courses must be completed with a grade of ‘C’ or above. No student who has completed a mathematics course with a grade of ‘C’ or above may enroll in a prerequisite to that course without the permission of the department chair. MA 223 is a prerequisite for all 300level mathematics.
Transfer credit for 300level courses counting toward the major or minor requires permission of the department chair.
Majors & Programs

Mathematics, Major 
Mathematics, Minor 
Mathematics, Licensure
Courses
MA 102: Statistics for Citizens
The study of basic descriptive and inferential statistics, with a focus on statistical ideas and statistical reasoning and on their relevance to public policy and to the human sciences from medicine to sociology.
MA 103: College Algebra
College Algebra provides an introduction to algebra. Topics include functions, rates of change and linear functions, quadratic functions, polynomial functions, exponential functions, and logarithmic functions.
MA 123: Elementary Statistics
The study of basic descriptive and inferential statistical methods, with applications primarily to the biological, behavioral, and social sciences.
MA 124: Elementary Statistics through Baseball
MA 125: Elementary Statistics & Gender
Introduction to standard statistical concepts and techniques particularly as they apply to the study of gender, race, and class.
MA 127: Theory of Arithmetic
MA 128: Uncertainty and Shape
MA 133: Precalculus
MA 201: Discrete Mathematics
MA 213: Calculus I
The first course of the threesemester calculus sequence. This course includes limits, continuity, derivatives and their applications, and an introduction to integration. Offered every semester.
MA 223: Calculus II
The second course of the threesemester calculus sequence. This course covers calculus of transcendental functions; integration techniques; applications of integration including volumes, work, average value, arc length, and area of a surface of revolution; and infinite sequences and series. Offered fall semesters.
MA 233: Calculus III
The final course of the threesemester calculus sequence. This course includes parametric equations and polar coordinates, vectorvalued functions, partial derivatives, curves and surfaces in space, and multiple integrals. Offered spring semesters.
MA 302: Survey of Geometry
MA 304: Foundations for Mathematical Thinking
This course investigates foundational topics in numbers, algebra, geometry, functions, trigonometry, and Calculus from a mathematically advanced perspective. In addition to exploring the theoretical perspectives and interconnectedness of topics in these areas, we will consider the historical and conceptual evolution of the theory in order to better understand how these topics provide a foundation from which to build mathematical understanding in other disciplines and areas.
MA 323: Introduction to Linear Algebra
MA 332: Introduction to Differential Equations
First and higher order linear differential equations, variable coefficients, series methods, Laplace transforms, and a brief introduction to systems and numerical methods.
MA 334: Modeling and Technology
MA 343: Probability & Statistics
Probability theory and statistical analysis. Topics include axioms of probability, combinatorial methods, discrete and continuous random variables, expectation and variance, data analysis, parameter hypothesis testing. The course will emphasize applications of probability and statistics to specific data sets.