Math for the Modern World MATH 128
From the ISBN on a book, to buying a car, from the size of small chips in a cell phone, to the size of the national debt, or just reading a graph in the daily newspaper, mathematics plays an important and vital role in countless areas of life–your future career and courses included. Mathematics is both an art and a tool created by humans. The common bond is a way of thinking and a way of reasoning to describe and solve problems of many types.
This course uses the context of modern real life problems to introduce math needed for literacy and problem solving in contemporary life and work. It uses a minimal amount of algebra and focuses on math models, concepts and basic math manipulations. It encourages students to move from anxiety about math, to using formulas well, to thinking critically in the math context and use math to solve problems and pose new problems. Topics include scientific notation, basic financial math, linear, exponential and polynomial models and an introduction to probability. 4 credits.
Finite Math with Recitation MATH 130
Topics to be chosen from: linear equations, graphing, linear programming, sets, Venn diagrams, counting and combinatorics, probability theory, conditional probability, Bayes theorem. Prerequisite: Two years of high school algebra or MATH 104 or MATH 108. 4 credits.
Calculus for Management & Social Sciences MATH 134
A one-semester introduction to differential and integral calculus. Theory is presented informally and topics and techniques are limited to polynomials, rational functions, logarithmic and exponential functions. (This course cannot be used to satisfy core or complementary requirements by students majoring in biology, chemistry, computer science, engineering, mathematics or physics). 4 credits.
Applied Statistics STATS 250
Application of statistical analysis to real-world business and economic problems. Topics include data presentation, descriptive statistics including measures of location and dispersion, introduction to probability, discrete and continuous random variables, probability distributions, sampling and sampling distributions, statistical inference including estimation and hypothesis testing, simple and multiple regression analyses. 4 credits