Santa Monica College Mathematics Department Addendum Math 29 – Calculus II for Business and Social Science Prerequisite Comparison Sheet – exit skills of Math 28 and entry skills for Math 29 Exit Skills for Math 28 Upon successful completion of Math 28, the student will be able to: A. Define business terms B. Use algebraic skills to solve business, economics and social science problems. C. Solve finance problems D. Find the limit of functions E. Find derivatives of functions and express their answers in simplest factored form F. Use derivatives to solve problems in business, economics and social sciences G. Use concepts of derivatives (as well as domain, intercepts and asymptotes, etc.) to graph functions. H. Use derivatives to solve optimization problems I. Find antiderivatives of functions J. Use the techniques of integration to solve basic area problems, as well as problems in business, economics and social science Entry Skills for Math 29 Prior to enrolling in Math 29 students should be able to: 1. Define business terms 2. Use algebraic skills to solve business, economics and social science problems. 3. Solve finance problems 4. Find the limit of functions 5. Find derivatives of functions and express their answers in simplest factored form 6. Use derivatives to solve problems in business, economics and social sciences 7. Use concepts of derivatives (as well as domain, intercepts and asymptotes, etc.) to graph functions. Santa Monica College Page 2 of 4 8. Use derivatives to solve optimization problems 9. Find antiderivatives of functions 10. Use the techniques of integration to solve basic area problems, as well as problems in business, economics and social science Santa Monica College Page 3 of 4 Santa Monica College Student Learning Outcomes Date: December 1, 2008 Course Name and Number: Math 29 Calculus II for Business and Social Science Student Learning Outcome(s): Individual faculty members will develop and reports on assessments for SLOs. 1. Given a real-valued function of two or more variables, students will use appropriate techniques to differentiate and/or integrate the function and interpret the results. 2. Given the description of a practical situation such as related rates, differential approximation, compound interest, supply and demand, cost, revenue/profit maximization, productivity, or exponential growth/decay, students will define a function that models the situation and analyze this function to obtain relevant information. 3. Given a probability density function, students will determine its expected value, standard deviation variance and probability of a specific occurrence. Demonstrate how this course supports/maps to at least one program and one institutional learning outcome. Please include all that apply: 1. Program Outcome(s): The student will demonstrate an appreciation and understanding of mathematics in order to develop creative and logical solutions to various abstract and practical problems. As a result of learning about more advanced mathematical functions, students will analyze and solve abstract and practical problems. 2. Institutional Outcome(s): As a result of studying instructor feedback given during lecture, or written on homework and exams, students will evaluate information critically and present solutions in a clear and logical manner. Santa Monica College Page 4 of 4 Textbook: Barnett, Ziegler & Byleen, Applied Calculus for Business, Economics, Life Sciences and Social Sciences, 11th ed., 2008 ,Pearson A Sample Schedule for Math 29 This schedule assumes a standard meeting schedule of I hr 5 min with 4 class meetings per week. Session 1 2 3 4 5 6-1 6-2 6-5 7-2 7-3 7-4 Text Section/Activity Antiderivatives and Indefinite Integral Integration by Substitution Definite Integral as a Limit of a Sum; Fundamental Theorem of Calculus Application in Business and Economics Integration by Parts Integration Using Tables APPENDIX E 5.9 Numerical Integration 6 7 8 9 10 11 12 13 14 15 16 17 18 APPENDIX E 5.9 Numerical Integration Review Exam #1 8-1 Functions of Several Variables 8-2 Partial Derivatives 8-2 Partial Derivatives 8-3 Maxima and Minima 8-3 Maxima and Minima 8-4 Maxima and Minima Using Lagrange Multipliers 8-5 Method of Least Square Total Differentials (to be offered as a supplement) 8-6 Double Integrals over Rectangular Regions 8-7 Double Integrals over More General Regions Review APPENDIX F 19 20 1-1 Basic Concepts (of differential equations) Exam #2 1-1 Basic Concepts 6-3 Differentiation Equations; Growth and Decay 1-2 Separation of Variables 1-3 First-Order Linear Differential Equations 21 22 23 APPENDIX G 24 25 26 27 28 29 3-1 Improper Integrals 3-2 Continuous Random Variables 3-3 Expected Value, Standard Deviation, and Median 3-4 Special Probability Distributions Review Exam #3 Final Review