A study of discrete models. The course emphasizes problem-solving and modeling as opposed to algorithmic techniques. It is recommended for students of the social and natural sciences, as well as for majors in Business, Education, or Mathematics. This course consists of lectures and computer labs and meets six hours per week. Topics include functions and their graphs, limits, derivatives, continuity, extrema, antiderivatives, and first order differential equations.
Emphasis is placed on concepts, modeling, and applications.
This course consists of lectures and computer labs and meets six hours per week. Topics include techniques of integration, approximation of integrals, exponential and logarithmic functions, sequences and series of both numbers and functions, and applications such as arc length, centers of mass, area, volumes of revolution and Newton s method. Graphic calculators and computer labs are used to motivate and enhance these topics. This course consists of lectures and computer labs and meets six hours per week. Vectors, analytic geometry of functions of two or three variables, partial derivatives, multiple and iterated integrals, extrema of functions of two variables, line integrals, and Green s Theorem in the plane are topics discussed in this course.