Math 220 Section 01** Course Outline Department of Mathematics Fall2009 - Dr. Michelle Hugue Content: Math 220 is a three credit course on calculus for the business and social sciences. What this means is that the course is geared around applications instead of around the underlying theory. This does not mean there is no theory, just that its importance is reduced. We will cover all the fundamental results of basic calculus and how they can be used to analyze real-world situations. History: It is assumed that you remember the basics from math 113 or some decent algebra course. Essentially if you ever have a question which begins with \Do we need to remember..." then the answer is \Yes!" Feel free to ask for more specics. Materials: Calculus & Its Applications, Twelth Edition, by Goldstein, Lay, Schneider, Asmar (ISBN 0321643658). The solution guide is recommended but not required. You will be required to have a calculator for homework but calculators will not be permitted on quizzes and exams. Exams: There will be three exams each worth 100 points each and a cumulative final exam worth 200 points. Quizzes: You will have an in-class quiz during recitation (nearly) each Thursday. Homework: The department currently uses WebAssign on-line homework for many of its classes and we will use it for MATH 220. If you have not used this system before, please note that it takes a week or two to get over the initial learning-curve frustration. Please have patience and ask for help from both me and your TA. The WebAssign due dates are listed online but in general the homework corresponding to each Monday and Wednesday is due no earlier than 48 hours after the lecture in which it is covered(TBD on WebAssign). There are a few exceptions to this; so, check, don't assume. But, also, give me a few days to get the webassign due dates aligned with lecture. Modifying numbers is not my strong point. Grading: Exams 100 Quizzes 100 Homework 100 Final Exam 200 Total Points 700 Contacting Me: My office is room 1125 AV Williams and my office hours are listed at http://www.cs.umd.edu/~meesh/ Email address is meesh@cs.umd.edu Schedule Week1 0.3 Review of Essentials 1.1 Slope of a Straight Line 1.2 Slope of a Curve at a Point Week 2 1.3 The Derivative 1.6 Some Rules for Derivatives Week 3 1.7 More About Derivatives 1.8 The Derivative as a Rate of Change Chapter 1 Summary 2.1 Describing Graphs of Functions Week 4 2.2 The First and Second Derivative Rules 2.3 The First and Second Derivative Tests and Curve Sketching 2.4 Curve Sketching (Conclusion) Week 5 2.5 Optimization Problems 2.6 Further Optimization Problems Week 6 Review for Exam 1 Exam 1 Week 7 3.1 The Product and Quotient Rules 3.2 The Chain Rule and the General Power Rule Week 8 4.1 Exponential Functions 4.2 The Natural Exponential Function e**x 4.3 Derivative of e**x Week 9 4.4 The Natural Logarithm Function 4.5 The Derivative of ln x 4.6 Properties of the Natural Logarithm Function Week 10 5.1 Exponential Growth and Decay 5.2 Compound Interest 5.4 Further Exponential Models Week 11 Review for Exam 2 Exam 2 Week 12 6.1 Antiderivatives 6.2 Riemann Sums 6.3 Definite Integrals and the Fundamental Theorem 6.4 Areas in the xy-Plane Week 13 6.5 Applications of the Definite Integral 7.1 Examples of Functions of Several Variables 7.2 Partial Derivatives Week 14 Review for Exam 3 Exam 3 Week 15 Review for Final Exam 12/14 Final Exam 1:30-3:30pm. Room TBA.