# Study Guides for MATH 102 at University of British Columbia (UBC)

• 57 Results

UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 37: 2010 Final exam review lecture

@kimberly3 Page
29 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 36: Prey response in related rates

@kimberly3 Page
27 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 35: Trig with Related rates

@kimberly3 Page
24 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 34: Derivatives of Trig functions

@kimberly4 Page
22 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 33: Arcsine, Arccosine, Arctangent

@kimberly2 Page
20 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 32: Basic Trigonometry review

@kimberly2 Page
17 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 31: Euler's method & Disease dynamics

@kimberly2 Page
15 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 29: Newton's cooling method and euler's method

@kimberly3 Page
10 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 28: First order differential equation

@kimberly3 Page
8 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 27: Slope field & state-space diagram

@kimberly14 Page
6 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Study Guide - Fall 2018, Comprehensive Midterm Notes - Graph Of A Function, Linear Approximation, Min Chinese

@kimberly65 Page
5 Nov 2018
0
Lecture 9 - compound function, chain rule, sketching anti-derivatives. { f (g(x))} = f "(g(x))g "(x) = df dg dg dx df dx. Example 1: kelp population k
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 25: Application and differentiation of log, Differential equation, Quantity of radioactive isotope,

@kimberly3 Page
1 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 26: Logistic growth equation and examples

@kimberly2 Page
3 Nov 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 24: Invertibility, exponential functions and properties

@kimberly3 Page
30 Oct 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 23: Exponential function and related rates examples

@kimberly4 Page
27 Oct 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 22: Related rates, Implicit Differentiation

@kimberly1 Page
25 Oct 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 21: Related rates

@kimberly5 Page
23 Oct 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 20: Optimization

@kimberly2 Page
20 Oct 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 19: Least square and optimization

@kimberly3 Page
18 Oct 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture Notes - Lecture 16: Logistic Function, Pythagorean Theorem

@kimberly2 Page
13 Oct 2018
0
Example 1: logistic growth rate: small populations % large populations grow slowly, equation: # K: n: density of the population, g: growth rate, r, k -
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 17: Optimization and critical points

@kimberly1 Page
13 Oct 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 15: Sketching graph using calculus

@kimberly3 Page
11 Oct 2018
0
Example 1: sketch the graph of the following functions showing important features such as critical points, roots, discontinuities, asymptotes. f (x) =
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture Notes - Lecture 14: Cell Division, Maxima And Minima

@kimberly4 Page
6 Oct 2018
0
Example 1: identify the extrema from the following graphs (yeager, ch. 6 slide 17) A: local minimum at x = 0 (because sign changes from (-) to (+) ) B:
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture Notes - Lecture 13: Mnemonic, Linear Approximation, Asymptote

@kimberly5 Page
4 Oct 2018
0
Example 1: sketch ! f (x) = x3 3x 2. X 0 f (x) x3. Therefore, (2, -4) is a minimum point, (0,0), (3,0) is x-intercepts. Step 3: assemble information an
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture Notes - Lecture 12: Aphid, Asymptote, Ant Colony

@kimberly4 Page
2 Oct 2018
0
= xk f (xk ) f "(xk : it is used for a more accurate approximation. Application 1: ladybugs and aphids" populations: size of aphid"s population = x, la
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 11: Linear Approximation overestimation or underestimation, Newtonâ€™s Method

@kimberly3 Page
29 Sep 2018
0
Lecture 11 - linear approximation overestimation or underestimation, newton"s method. , using linear approximation to determine f(8. 75), and if the re
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 10: Sketching Antiderivatives recap, Approximation using tangent lines

@kimberly4 Page
27 Sep 2018
0
Use of tangent lines: to approximate a function using a xed point > assume that the tangent line on the. Step 1: choose a nice value that you know, suc
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture Notes - Lecture 9: Chain Rule, Antiderivative, University Of Manchester

@kimberly3 Page
25 Sep 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 8: Antiderivatives, Product rule & Quotient Rule, Chain Rule

@kimberly3 Page
22 Sep 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 7: Power rule & Tangent line

@kimberly3 Page
20 Sep 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 6: Maths 102 Notes Lecture 6: Continuous functions and the Definition of Derivative

@kimberly3 Page
18 Sep 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 5: Maths 102 note: Derivatives and continuity

@kimberly3 Page
15 Sep 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 4: Maths 102 notes lecture 4: Rate of change & Derivative

@kimberly3 Page
13 Sep 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 2: Math 102 Notes: Lecture 2-Calculus

@kimberly3 Page
10 Sep 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 1: Math 102 Notes: Lecture 1 & 2

@kimberly6 Page
10 Sep 2018
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Lecture 3: Maths 102 notes Lecture 3: Approximations on rational functions

@kimberly2 Page
11 Sep 2018
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 38: Inverse Trigonometric Functions

OC18920262 Page
2 Dec 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 37: MATH 102 Lecture 37

OC18920262 Page
2 Dec 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 36: MATH 102 Lecture 36

OC18920262 Page
2 Dec 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 35: A Reminder, Unit Circle

OC18920262 Page
26 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 33: MATH 102 Lecture 33

OC18920262 Page
25 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 34: MATH 102 Lecture 34

OC18920262 Page
25 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 31: MATH 102 Lecture 31

OC18920262 Page
24 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 32: MATH 102 Lecture 32

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24 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 29: Separation Of Variables

OC18920262 Page
13 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 28: Product Rule, Integrating Factor

OC18920262 Page
8 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 27: Growth Factor

OC18920262 Page
8 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 25: Exponential Function

OC18920262 Page
3 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 26: Exponential Function

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3 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 24: MATH 102 Lecture 24

OC18920262 Page
3 Nov 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 23: MATH 102 Lecture 23

OC18920262 Page
30 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 21: Product Rule, Pythagorean Theorem

OC18920262 Page
29 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 22: MATH 102 Lecture 22

OC18920262 Page
29 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 19: Math 102 Lecture 19

OC18920263 Page
23 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 20: Math 102 Lecture 20 (1)

OC18920262 Page
23 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 17: MATH 102 Lecture 17

OC18920262 Page
13 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 16: Inflection Point, Inflection

OC18920263 Page
13 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 15: MATH 102 Lecture 15

OC18920263 Page
13 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 13: MATH 102 Lecture 13

OC18920263 Page
6 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 14: MATH 102 Lecture 14

OC18920262 Page
6 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 12: MATH 102 Lecture 12

OC18920262 Page
6 Oct 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 10: MATH 102 Lecture 10

OC18920263 Page
28 Sep 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 11: University Of Manchester

OC18920263 Page
28 Sep 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 8: Antiderivative, Killer Whale

OC18920262 Page
24 Sep 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 9: MATH 102 Lecture 9

OC18920262 Page
24 Sep 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 7: Asymptote

OC18920262 Page
19 Sep 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 3: MATH 102 Lecture 3

OC18920262 Page
18 Sep 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture 6: Math 102 Lecture 6

OC18920262 Page
17 Sep 2019
0
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UBCMATH 102TBAFall

## MATH 102 Lecture Notes - Lecture 5: Minimax, Maxima And Minima

OC18920261 Page
15 Sep 2019
0
An absolute minimum/maximum is the lowest/highest value that a function takes on (it must reach the value). A continuous function on a closed interval
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UBCMATH 102TBAFall

## MATH 102 Lecture 4: Math 102 Lecture 4

OC18920264 Page
13 Sep 2019
0
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UBCMATH 102Elyse YeagerFall

## MATH 102 Study Guide - Fall 2018, Comprehensive Midterm Notes - Graph Of A Function, Linear Approximation, Min Chinese

@kimberly65 Page
5 Nov 2018
0
Lecture 9 - compound function, chain rule, sketching anti-derivatives. { f (g(x))} = f "(g(x))g "(x) = df dg dg dx df dx. Example 1: kelp population k
View Document
UBCMATH 102Elyse YeagerFall

## MATH 102- Midterm Exam Guide - Comprehensive Notes for the exam ( 23 pages long!)

OC215135123 Page
5 Oct 2017
0
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UBCMATH 102Eric CytrynbaumFall

## [MATH 102] - Midterm Exam Guide - Ultimate 24 pages long Study Guide!

OC100487124 Page
5 Oct 2016
81
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UBCMATH 102Colin MacdonaldWinter

## MATH 102 Study Guide - Midterm Guide: Scion Tc, Inverse Function, Psychophysics

OC27392876 Page
22 Sep 2019
0
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UBCMATH 102Colin MacdonaldWinter

## MATH 102 Study Guide - Midterm Guide: Maxima And Minima, Multiple Choice, Power Rule

OC27392878 Page
22 Sep 2019
0
Each candidate must be prepared to produce, upon request, a ubc card for identi cation. The plea of accident or for- getfulness shall not be received.
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UBCMATH 102Colin MacdonaldWinter

## MATH 102 Study Guide - Midterm Guide: Farad, Maxima And Minima

OC27392876 Page
22 Sep 2019
0
Solutions to midterm #1: math 102, sections 102 & 105. It is also the instantaneous rate of change of y = f (x) with respect to x. Equivalently the tan
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UBCMATH 102Colin MacdonaldWinter

## MATH 102 Study Guide - Midterm Guide: The Tangent, Multiple Choice, Doubling Time

OC27392878 Page
22 Sep 2019
0
Each candidate must be prepared to produce, upon request, a ubc card for identi cation. The plea of accident or for- getfulness shall not be received.
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UBCMATH 102Colin MacdonaldWinter

## MATH 102 Study Guide - Midterm Guide: Inverse Function, Radar Gun, Psychophysics

OC27392877 Page
22 Sep 2019
0
Each candidate must be prepared to produce, upon request, a ubc card for identi cation. The plea of accident or for- getfulness shall not be received.
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UBCMATH 102Colin MacdonaldWinter

## MATH 102 Study Guide - Midterm Guide: Maxima And Minima

OC27392872 Page
22 Sep 2019
0
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UBCMATH 102Colin MacdonaldWinter

## MATH 102 Study Guide - Midterm Guide: Asymptote, Multiple Choice, Bangladesh University Of Engineering And Technology

OC27392879 Page
22 Sep 2019
0
Each candidate must be prepared to produce, upon request, a ubc card for identi cation. The plea of accident or for- getfulness shall not be received.
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UBCMATH 102Colin MacdonaldWinter

## MATH 102 Study Guide - Midterm Guide: Bundesautobahn 99, Petting Zoo, Multiple Choice

OC27392878 Page
22 Sep 2019
0
Each candidate must be prepared to produce, upon request, a ubc card for identi cation. The plea of accident or for- getfulness shall not be received.
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UBCMATH 102Colin MacdonaldWinter

## MATH 102 Study Guide - Midterm Guide: Multiple Choice, Asymptote, Bangladesh University Of Engineering And Technology

OC27392879 Page
22 Sep 2019
0
Each candidate must be prepared to produce, upon request, a ubc card for identi cation. The plea of accident or for- getfulness shall not be received.
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