COURSE DESCRIPTION: Calculus answers two basic quesitons: how fast is something changing (the derivative) and how much is there (the integral). This course is about integration. and the miracle that unites the deriviative and the integral (the Fundamental Theorem of Calcuus.) Understanding calculus requires in part the understanding of methods of integration.This course will also solve equations involving derivatives (“differential equations”) for population growth or pollution levels. Exponential and logarithmic functions and trigonometric and inverse functions will also play an important role. This course is the right starting point for students who have seen derivatives, but not necessarily integrals, before. MATH 130 or equivalent; students who have received the equivalent of advanced placement of AB 4, BC 3 or higher may not enroll in MATH 140 without the permission of instructor NOTE: We will be moving at a very fast pace. You should spend at least one if not two hours a day (every day!) on this course. I strongly encourage you to work in groups, and you should skim the reading before each class. We will not cover all the material in the book in class; you are responsible for reading the other examples at home.

GRADING / HW: Homework 15%, Midterms 40% (there will be 2 or 3), Final 45%. Exams are black tie optional. Homework is to be handed in on time, stapled and legible; there will be HW due each class. Late, messy or unstapled homework will not be graded. I encourage you to work in small groups, but everyone must submit their own homework assignment. All exams are cumulative, the lowest midterm grade will be dropped. There is also another option, worth 5%. Doing this reduces everything else to 95% of your grade. Project:: You may explore a topic in multivariable calculus in great detail and write it up.

SYLLABUS GENERAL: We will cover all the integration material in Schaum’s Outline of Calculus; any version of the book is acceptable. Additionally, we will discuss applications such as the method of least squares (i.e., regression), and probability theory (in particular sabermetrics).