MATH 102 Section 103 Sep-Dec 2016 Lecture Summary


We
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Date Lec-
ture
Contents
1 0905

Labour Day
0907 L01
outline and overview, §1.1 power functions
0909 L02 §1.1 an example
§1.2 cell size, §1.2.3 even and odd funcitons
2 0912 L03 §1.2.3 examples
§1.4 sketching of combined power functions
0914 L04 §1.5 Michaelis-Menten Kinetics and Hill functions
§2.3 average rate of change, slope of secant line
0916 L05 §2.4 average velocity and instantaneous velocity
§2.5 + Appendix D: limit
3 0919 L06 §2.5 definition of derivative
§3.1 geometric view of derivative, slope of tangent vector, sketching df/dx for given gragh of f(x)
§3.2 definition of continuity
0921 L07 §3.2 examples of removable/nonremovable discontinuity, definition of derivative revisited with examples, limit of (sin t)/t as t goes to 0
§3.3 computation/approximation of derivative using finite difference
0923 L08 §3.3 example: computation by spreadsheet, spreadsheet example
§4.1 Rules for differentiation: power rule, linearity
quiz 1 and quiz 1 solution
4 0926 L09 §4.1 product Rule, quotient Rule, chain Rule
0928 L10 §4.2 antiderivative of power functions, application to position, velocity and acceleration
§4.3 sketch antiderivative y(t) from the graph of f(t)=dy/dt
§5.1 tangent line and its x-intercept, introduction to Newton's method
0930
L11 §5.3 linear approximation
§5.4 Newton's method, spreadsheet example
§5.5 tangent line from an outside point
5 1003
L12 §5.5 continued
§6.1 increasing and decreasing, the sign of df/dx
1005
L13
§6.1 -§6.2: examples, concave up/down and the sign of d^2f/dx^2
1007
L14 §6.2 Example 5
§6.3 Sketching the graph of f(x) using the signs of f' and f''
quiz 2 and quiz 2 solution
6 1010

Thanksgiving Day
1012
L15
§6.2.3 Types of critical points, first and second derivative tests
§6.3.1 Absolute maximum and mimimum
1014
L16 §7.1 Some biological optimizations, Examples 7.1 and 7.2
§7.2 Optimization under constraint, Example 7.3
7 1017
L17
§7.2 Example 7.4
§7.3 Example 7.5 absolute maximum may occur at end point
§7.4 optimal foraging
1018

Midterm Exam:   Tuesday October 18 evening
1019
L18
§7.4 continued
supplement: least square
1021
L19 least square continued
Chapter 8. Chain rule and its application to optimization
8 1024
L20 optimal attention, spread sheet example
§9.1 Related rate, Examples 1 and 2
1026
L21 §9.1 Examples 3 and 4
§9.2 Implicit differentiation, Example 1 (pic) and Example 2 (pic)
1028
L22 §10.1-10.2 Exponential functions and their derivatives
9 1031
L23 §10.3-10.4 Inverse functions and logarithmic functions
1102
L24 §11.1-11.2 Differential equations (DE) for exponential growth and decay
1104
L25 §11.3 exponential decay
§13.1 nonlinear DE, qualitative study
10 1107
L26 §13.2 slope field, solution curve, and phase line analysis, Examples 1-4
1109
L27
§13.2 Example 5
§12.3 Linear differential equation y'=a-by, terminal velocity, Newton's law of cooling, Examples 1-3
1111

Remembrance Day
11 1114
L28 §12.3 phase line analysis for Newton's law of cooling and general linear DE, meaning of b, solution formula, characteristic time
1116
L29 §12.3 example of characteristic time, snow melting DE
§12.4 Euler's method, introduction
1118
L30 §12.4 Euler's method, example 1, spreadsheet example 1, 1b
quiz 3 and quiz 3 solution
12 1121
L31 §12.4 Example 2, Euler's method applied to logistic equation, spreadsheets example 2
§13.3 finding inflection points for solutions of the logistic equation, the DE system for a model of spreading of disease
1123
L32 §13.3 study of the DE system for a model of spreading of disease
§14.1 trigonometric functions, angle-sum identities
1125
L33
§14.1 double angle formulas and other trig functions
§14.2 periodic functions
§14.3 inverse tan function arctan
13
1128
L34
§15.1 derivative of trig functions
§15.2 changing angles and related rates
1130
L35
§15.2 continued
§15.3 Zebra danio's escape responses
1202
L36
conclusion and review
1212
Final Exam:   Monday December 12 8:30am-11am at MATH 100.