100

MTH 105 Mathematics for Elementary Teachers I

Rational numbers and subsystems, probability and statistics, real numbers and geometry, algebraic structures. Emphasis on problem solving. (Does not fulfill the core requirement.)

3

MTH 106 Mathematics for Elementary Teachers II

Rational numbers and subsystems, probability and statistics, real numbers and geometry, algebraic structures. Emphasis on problem solving. (Does not fulfill the core requirement.)

3

Prerequisites

MTH 105 with a grade of C- or higher

MTH 111 Precalculus I

Review of basic algebra, functions, graphing, logarithm, and exponential functions, systems of linear equations. (Does not fulfill the core requirement.)

3

MTH 112 Precalculus II

Review of exponential and logarithmic functions, their graphs, trigonometric and inverse trigonometric functions. Analytic geometry, sequences, and series.(Does not fulfill the core requirement.)

3

MTH 115 Teaching Mathematics with Technology

Two mathematical areas provide the content of the course: (1) Geometry and (2) Algebra and Modeling. Mathematical content and pedagogy are fully integrated using contemporary classroom technologies. (Does not fulfill the core requirement.)

3

MTH 121 Calculus for Business and Social Science

Introduction to differential and integral calculus with emphasis on applications to business and economics.

3

MTH 141 Finite Mathematics

Matrices, systems of linear equations, linear programming. Sets and counting, probability.

3

MTH 160 Quantitative Reasoning

Students will be able to understand, process, and interpret statistical information arising in everyday life using real world examples and case studies from a variety of disciplines. Critical thinking and quantitative decision-making skills will be taught. This course focuses on being a consumer of statistics, interpreting research studies, and learning how statistics are used in the real world.
3

MTH 161 Elementary Statistics

Elementary statistical calculations and statistical thinking. Examples will be chosen from various disciplines. Topics include sampling, normal distribution, central limit theorem, hypothesis testing, and simple regressions.

3