Preparing for the Final

Make sure that you get a copy of the Final Exam Review Sheet.  This review sheet should serve as a guide to studying for the final exam.  You are
strongly encouraged to construct a review packet covering the topics listed on the review sheet.  This packet should include definition, theorems,
your explanations of the key concepts/ideas, as well as sample problems and solutions.  Your class has decided that you will turnin a copy of this review
packet the day of the final exam and it will be considered as part of your final exam grade (roughly 10%).  You are also allowed to use this packet on the
final exam itself.

To help you prepare for the final, I outlined the general feel of the final exam in class on Friday, December 3.   Your classmates voted on certain topics
that we would cover in class during the review sessions scheduled the week of December 6.  Listed below are topics for each day and a list of problems that
you should look at before coming to class.  Note that some of the problems may be homework problems that you have already completed.  Try them again and
check your answers with your solutions or the the solutions posted online (see homework page).

Monday, December 6

Topics Include:  Derivatives (Definition,  Existence), Linear Approximations/Tangent Lines, Optimization, and Curve Sketching

Derivatives:     Review the Definition of the Derivative.  (pages 107, 108)
                         Think about when a derivative exists (i.e. what conditions must we place on f(x) so that we know we can find f'(c) for some x=c?).  
                                            Think about f(x)= |x| and try computing f'(0) using the definition.  Why does f'(0) fail to exist...think about what is happening at f(0)?
                                            Think about f(x) = 1/x and try to computing f'(0) using the definition.  Why does f'(0) fail to exist?
                         Linear Approximation/Tangent Lines  (pages 100, 101, 153, 154)
                                             Remember that Tangent Lines provide a good approximation to the function for values of x close to c
                                             That is, if g(x) is the line tangent to f(x) at x=c, g(x) is approximately equal to f(x) for x values close to c.  Try some out!
                                             Examples 1,2 on Page 100, 101
                                             Page 105:  9, 10, 11, 12
                                             Page 119:  49, 50
                                             Page 155, 156:  36, 37
                                             Page 196:  34, 35
                                                You do not need to do all problems;  just pick a few and work through them.  Do enough so that you are comfortable with the
                                                idea and computing them.
                        Optimization  (pages 174-177 and Section 4.4)
                                            Remember that the goal is to find maximum and minimum values of a function!
                                                    We will cover this later in the week, but think about why we might want to prove the existence of a value x such that f'(x)=0.
                                                     To do this, one would most likely use the Intermediate Value Theorem.
                                            Review the First Derivative Test and the Second Derivative Test
                                            Check out Examples 1, 2, 3, 4, 5 on Pages 175, 176
                                            Section 4.3:  7-14, 20, 23-27
                                            Section 4.4:  1, 4, 7, 8, 9
                        Curve Sketching  (pages 192-195...review steps provided on page 195 to help with #1 below)
                                            The goal is to be able to use information about f'(x) and f''(x) to figure out the general "shape" of the f(x) and then try your hand at providing
                                            a graph of f(x).
                                            Review the Monotinicity Theorem and the Concavity Theorem.
                                            Review Stationary Points, Singular Points, and Inflection Points
                                            Check out Examples 1, 2, 3 on Pages 193, 194, and 195
                                            Try problems 1, 28, 29, 30, 31, 32, 37, 38, 39 from Section 4.6
                                                    I encourage you to do #1, one or two from 29-32 and at least one from 37-39

Tuesday, December 7

Topics Include:  Implicit Differentiation, Related Rates, Antidifferentiation

Implicit Differentiation:  The goal here is to find a way to find the derivative of a function y = f(x) that is defined implicitly.  Implicit equations frequently show up
                                            in many research settings and so we must find a way to deal with them.  Once we find the derivative of an implicit equation, we can do the
                                            same things with them as we did with derivatives of explicit equations (Linear Approximation/Tangent Lines, Optimization, etc.)
                                          Review what an implicit equation is.  (Page 139)
                                          Review how one can show an implicity equation is a function y=f(x).  (Page 139)
                                          Review the technique of implicit differentiation and convince yourself why we need to use the chain rule to find the derivative of y with
                                                    respect to x.    That is why is the derivative of y^2 with respect to x given by 2y*(dy/dx) instead of just 2y?  (Page 139)
                                          Check out Examples 1, 2, 3 on Pages 140, 142
                                          Some good problems to try include 1-12 in Section 3.8
                                                    Again, no need to do them all.  Just pick a few we did in the homework or that have solutions in the back of the book.  Try them
                                                    until you are comfortable with them.

                                          A great application of implicit differentiation is related rates.  Related rates are just what they say them are.  The rate at which two or three
                                          things are changing may be related to one another.  For instance, the rate at which volume of a bubble increases is directly related to the rate
                                          at which air is entering the bubble.  Another example might be the rate at which a boat is entering the dock is directly related to the rate at
                                          which the boat is being pulled by a person standing on the dock.  These were actually a couple of examples we did in class, but in practice the
                                          examples are virtually endless since much of the world around us has interacting (hence related) variables.
                                          Check out Examples 1, 2, 3 on Pages 145, 146, 147.
                                          Try some problems:  1, 2, 5, 6, 7 on Page 149.   
                                                    Don't spend too much time on these problems.  Make sure you understand the general procedure and the underlying idea of the problem.
                                                   
Antidifferentiation:   The goal of this course was to understand what a function is, what kind of functions are commonly used in calculus, what a continuous function is,
                                    what a derivative is, and last, but certainly not least, what a definite integral is.  To answer the last question, we must be familiar with the process
                                    called Antidifferentiation.  Recall the general idea is I give you f'(x) and you try to figure out what f(x) is.....we work backwards from finding the
                                    derivative (hence anti-differentiation).
                                     Review the definition and make sure you understand the idea of family of functions.  (Page 209)
                                     Review the rules for antidifferentiation.  (Pages 210, 211, 212, 213)
                                     Make sure you understand u-substitution (many of you need some extra help here...so check out the book and come with questions.)
                                     Check out Examples 2, 3, 4, 5, 6 on Pages 210, 211, 212, 213
                                     Some good problems include 1-39 in Section 5.1 as well as 1-26 in Section 5.8
                                    Also try your hand at solving some ODE (Ordinary Differential Equations using the Separation of Variables Technique)
                                    Check out Examples 1,2 on Pages 215, 216, 217
                                     Some good problems include 5-14 in Section 5.2   

Wednesday, December 8

Topics Include:  Definite Integrals, Intermediate Value Theorem, Limits (as needed)

Definite Integrals:  One of the reasons we study Antidifferentiation is so that we can compute Definite Integrals using the Fundamental Theorem of Calculus.  Remember
                                 the general idea of the definite integral is that we are simply "adding stuff up."  We generally think of definite integrals as computing the "area" of the
                                 region bounded between the function and the x-axis (where x is the independent variable) on some domain [a,b].
                                Review the Definition of the Definite Integral.  (Page 236)
                                Review the types of functions that we can compute Definite Integrals for (the integrability theorem!).  (Page 237)
                                Review the Fundamental Theorem of Calculus I and II.  Make sure you note that the conditions we must impose on f(x) to use these theorems!
                                Check out Example 3 on Section 5.5; Examples 1, 2, 3, 4 on Section 5.6;  Examples 1, 4, 5, 6, 7, 8, 9 on Section 5.7;  Examples 1, 2 Section 5.8;
                                Try your hand at problems 7, 8, 9, 10 on Section 5.5, problems 13 - 22 on Section 5.6, 1-32 and 47-50 on Section 5.7, 27-33 on Section 5.8
                                           Get comfortable with recognizing definite integrals in the reimann sum form and using the Second Fundamental Theorem of Calculus to
                                            compute them.  Also, make sure you are comfortable with the First Fundamental Theorem of Calculus.
                                Applications we covered include finding Areas, Volumes, and Arc Length.
                                Check out Examples 1, 2, 3, 5 (make sure you think about why the Intermediate Value Theorem could be important here as well) on Pages 273, 274, 276
                                Check out Examples 1, 2 on Pages 281, 282 and Examples 1, 2, 3, 4 on Pages 294, 295, 296
                                Look over the problem I suggested in class!

Intermediate Value Theorem:  Proving the existence of solutions of a function on some interval.  Make sure you understand why this theorem is useful in the context of
                                                  Optimization and Definite Integrals (we could also discuss the importance of this theorem for Differential Equations).  Look over the
                                                   theorem and review the example problems.  Make sure you also understand the conditions we must impose on f(x) to use this theorem.
                 

Limits:  Understand what limits attempt to do.  What is the goal?  Think about how we are using limits to find the derivative or definite integral.  Look over the main       
              limit theorems as dictated by the handout.  Remember that these theorems are important in many applications!