This course is a continuation of MATH 180. It focuses on integration and its relation to differentiation. Topics include definite integrals, antiderivatives, the Fundamental Theorems of Calculus, applications of integration, sequences, and series. The central ideas are explored from the symbolic, graphical, numerical, and physical model points of view.
Single-variable calculus has two main aspects: differentiation and integration. This course focuses on differentiation starting with limits and continuity, then introduces the derivative and applications of the derivative in a variety of contexts. The course concludes with an introduction to integration. The central ideas are explored from the symbolic, graphical, numerical, and physical model points of view.
This course takes a problem-solving approach to the concepts and techniques of single variable differential calculus, with an introduction to multivariate topics. Applications are selected primarily from business and the behavioral and social sciences.
An introduction to areas of applied math that use the skills of first year algebra. There are many topics that could be covered: Linear Systems, Matrix Theory, Linear Programming, Counting and Probability, Game Theory, Markov Processes, Finance Models, Graph Theory. The specific topics covered are at the discretion of the professor and can be tailored to the backgrounds of the students. This course contains topics of particular interest to students studying business or business-related topics. It is an excellent choice for those students who are also seeking a minor in mathematics.
This course presents the basic concepts of algebra and trigonometry needed for future courses in mathematics, science, business, or the behavioral and social sciences. It includes a review of elementary algebra and an introduction to algebraic functions, exponential and logarithmic functions, and trigonometric functions.
This course provides an introduction to contemporary mathematics and its applications. It may include topics from statistics, management science, social choice, and the geometry of size and shape. These topics are chosen for their basic mathematical importance and for the critical role their application plays in a person's economic, political, and personal life. This course is designed to be accessible even to students with a minimal background in mathematics. This course is not designed to prepare students for further work in mathematics.
This course covers the fundamentals of conducting statistical analyses, with particular emphasis on regression analysis and linear models. Students learn to use sophisticated computer software as a tool to analyze and interpret data.
This course provides an introduction to statistics, concentrating on statistical concepts and the "why and when" of statistical methodology. The course focuses on learning to ask appropriate questions, collect data effectively, summarize and interpret information, and understand the limitations of statistical inference.
Students with Advanced Placement credit for MATH 160 should consider enrolling in MATH 260 instead.
Mathematicians design the models that enable us to understand and improve the structure of transportation networks, computer networks and physical processes, making them more efficient, effective, and versatile.