*Prerequisite: Multiple Measures Placement in GE-level Mathematics, or credit in MATH 093 or MATH 196QR or MATH 196S or equivalent. Corequisite: COMP 102L.* Programming, using the Python programming language, with a focus on data manipulation and processing in contexts outside of traditional computing. No prior programming experience is required. Lab: 3 hours per week. (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisites: Listed in Table 1. *A preparation for the algebra necessary for calculus. This course is intended for computer science, engineering, mathematics, and natural science majors. It builds on student’s familiarity with linear, quadratic, and rational expressions to achieve fluent proficiency in analyzing the local and global behavior of functions involving such expressions. Not open to students who have credit in MATH 105. (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisites: Listed in Table 1. *Concepts and applications of algebra and calculus to business. Topics include functions, systems of equations, matrices, the derivative and business-related topics in calculus. (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisites: Listed in Table 1. *A preparation for the trigonometric, exponential, and logarithmic functions used in calculus. This course is intended for computer science, engineering, mathematics, and natural science majors. This course builds on student’s familiarity with exponential, logarithmic, and trigonometric expressions to achieve proficiency in analyzing the local and global behavior of functions involving such expressions. (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisites: Listed in Table 1.* Mathematics applicable to problems in non-calculus based physics. Sets, inequalities; functions and graphs: polynomial, rational, exponential, logarithmic, trigonometric; introduction to vectors, angular velocity, and parametric equations. This course is not open to students who have credit in MATH 105 or MATH 255A. (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisite: Multiple Measures Placement in GE-level Mathematics, or credit in MATH 093 or MATH 196QR or MATH 196S or equivalent. *General Education course intended to acquaint the student with basic mathematical ideas. (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisite: Multiple Measures Placement in GE-level Mathematics, or credit in MATH 093 or MATH 196QR or MATH 196S or equivalent.* Methods for displaying, describing and producing data. Normal distribution. Correlation and regression. Sampling distributions and probability. Statistical inference for means and proportions. Hybrid (part online) or fully online sections only. (Cross-listed with MATH 140BUS, MATH 140SCI, and MATH 141.) (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisite: Multiple Measures Placement in GE-level Mathematics, or credit in MATH 093 or MATH 196QR or MATH 196S or equivalent.* Methods for displaying, describing and producing data. Normal distribution. Correlation and regression. Sampling distributions and probability. Statistical inference for means and proportions. Applications to business. Open to students in the College of Business and Economics. Students who are exploratory majors may enroll in this course. (Cross-listed with MATH 140, MATH 140SCI, and MATH 141.) (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisite: Multiple Measures Placement in GE-level Mathematics or concurrent enrollment in MATH 091S. Corequisite: MATH 141L.* Basic statistical concepts and reasoning, including methods for displaying, summarizing, interpreting, and producing data. The normal model and variability in random samples. Statistical inference for means and proportions. The linear model: correlation and regression. This course is intended for students majoring in the social and behavioral sciences or in child and adolescent development. Students majoring in the arts, media, communications, the humanities, or those who are exploratory may also enroll. 3 hours lecture per week. (Cross-listed with MATH 140, MATH 140BUS, and MATH 140SCI.) (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisites: Listed in Table 1.* Limits, derivatives, and applications of differentiation. Definite and indefinite integrals. The fundamental theorem of calculus and applications of integration. (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

*Prerequisites: Listed in Table 1. Knowledge of trigonometry is assumed.* First semester of a brief course in calculus. Topics include calculus of functions of one real variable, techniques of differentiation, applications to graphing, optimization problems, and an introduction to integration. Applications to life sciences are emphasized. Not open for credit to students who have successfully completed MATH 150A. (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)

How is our everyday understanding of the world shaped by our encounters with data? How do you calculate a risk? Can numbers lie? This course is a critical assessment of the uses and misuses of numbers in popular media and everyday life. Students will learn how to handle quantitative data visually and creatively and will practice critical reasoning to assess how the language of math can be used to inform and mislead. Special attention is paid to quantitative and statistical reasoning in media, politics, health and finance. (Available for General Education, Basic Skills B4 Mathematics and Quantitative Reasoning.)