Descriptive statistics, probability, random variables, estimation of parameters, and tests of hypotheses. Inference using bootstrap and randomization distributions as well as the normal, T, chi-square and F distributions. Includes regression, analysis of variance, and multiple regression. Computers are heavily used for data analysis. Prerequisite: acceptable placement score or grade of C or higher in MATH 112. QL
Principles, goals, and methods of teaching elementary school and middle school mathematics. Topics include set theory, number systems, whole numbers, number theory and integers and the associated binary operations. Emphasis on problem solving. Offered every semester. Prerequisite: grade of C or higher in 155 or a Math ACT score of 22 or higher. QL
Mathematical logic and proofs are introduced and used to discuss sets, functions, mathematical induction, and countability. Counting methods are covered which include permutations, combinations, and applications to probability. Introductory graph theory topics may include isomorphisms, Euler and Hamiltonian circuits, directed graphs, spanning trees. Computer programming is used to carry out various algorithms throughout the course. Prerequisite: acceptable placement score or grade of C or higher in MATH 112.
Work with a team to explore a realistic, open-ended and multifaceted case under the guidance of a faculty advisor. Carry out and document design exploration, design refinement, and prototyping. Restricted to engineering majors with senior standing. Prerequisite: grade of C or higher in 498.
Several topics applicable to the study of business are covered. In particular, the course considers systems of linear equations and linear programming, the mathematics of finance, and an introduction to probability. Emphasis in the course is on applications. Prerequisite: acceptable placement score or grade of C or higher in 111 or 112. QL
This course is designed to provide additional support for students enrolled in MATH 111 or Math 112 whose placement score indicates they would benefit from extra support. The course will meet in a laboratory environment for one hour per week and will look in detail at topics as they are coming up in MATH 111 and 112. Graded credit/no credit. Credits not applicable toward graduation.
This course is designed to provide additional support for students enrolled in MATH 130 whose placement score indicates they would benefit from extra support. The course will meet in a laboratory environment for one hour per week and will look in detail at topics as they are coming up in MATH 130. Graded credit/no credit. Credits not applicable toward graduation.
Math study skills. Introduction to statistics. Pre-algebra topics. Solving linear and multivariable equations. Graphing linear equations and inequalities. Ratio, rate, and proportion. Real number system, properties, and order of operations. Area and perimeter of rectangles, areas, and circles. Algebraic problem solving. Exponents and radicals. Factoring polynomials, algebra of rational expressions, solving equations by factoring. Credits not applicable toward graduation. Graded CR/NC.
Designed for new students intending a course of study in math or science. The emphasis will be on development of effective learning skills. Topics include reading for learning; working with study teams; managing time; managing stress; coping with pressure and even failure; setting goals; exploring university resources including research and internship opportunities; and talking with upper class students about adjusting and career choices. Restricted to freshman mathematics and mathematics education majors. Graded CR/NC. (Equivalent to BIOL 112, CHEM 112.)
Review of basic algebra, linear equations and inequalities, functions and graphs, systems of linear equations, polynomials, factoring, quadratic equations, exponential and logarithmic functions. Prerequisite: acceptable placement score or successful completion of 091. Students who successfully completed 091 are required to take 081 as a co-requisite. QL