Math 1111A Fall 2014 Lab Quiz 4 Simple Derivatives
Week of September 30th, 2014 Name: cfw_oiU? i @U J
Lab period (CIRCLE) Tuesday 2:30 pm Tuesday 4:00pm TOTAL MARKS: 10
Marks are in square brackets.
1
Math 1111
The Math Placement Test
Mr. Findlay
1
Math 1111 vs Math 1151
2
Moodle and Email
3
4
Differential Calculus
What is Calculus?
5
6
Integral Calculus
1
7
FUNCTIONS AND LIMITS
Functions and Their
Mathllll Midterm #2 SAMPLE
Printed Name:
Instructions:
Show all work in the space provided. You are being graded on your presentation of your solution.
Please work with a pencil and erase your error
Math 1111A Fall 2014 ~ Lab 4
Week of September 29th, 2014 Name:
Lab: Tu. 2:30 pm Tu. 4 pm W. 2:30 pm W. 4 pm Th. 2:30 pm Th. 4 pm F. 2:30 pm
Marks are in square brackets. TOTAL MARKS: 33
1. [4] The po
Math 1111A Fall 2014 Lab 5
Week of October 6th, 2014 Name: cfw_0 lav V t QM
Lab: Tu. 2:30 pm Tu. 4 pm W. 2:30 pm W. 4 pm Th. 2:30 pm Th. 4 pm F. 2:30 pm
Marks are in square brackets. TOTAL MARKS: 30
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Math 1111A Fall 2014 Lab Quiz 11
Lab: Tu. 2:30 pm Tu. 4 pm W. 2:30 pm W. 4 pm Th. 2:30 pm Th. 4 pm F. 2:30 pm
Determine the derivative of each of the following expr
Math 1111 Fall 2014 Lab 9
Week of November 2nd, 2014 Name: .cfw_CDLU t" l O M;
Lab: Tu. 2:30 pm Tu. 4 pm W. 2:30 pm W. 4 pm Th. 2:30 pm Th. 4 pm F. 2:30 pm
Marks are in square brackets. TOTAL MARKS: 3
Math 1111 Lab Quiz 2
Week of September 22nd, 2014 Name: 5 0L UT, Ws
Lab period (CIRCLE) Tuesday 2:30 pm I Tuesday 4:00pm TOTAL MARKS: 10
Marks are in square brackets.
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Math 1111 Lab 1
Week of September 8th, 2014 Name: 5' OLD 7/0/05
Lab period (CIRCLE) Tues. 2:30 Tues. 4:00 Wed. 2:30 Wed. 4:00
Thurs. 2:30 Thurs. 4:00 Hi 2:30
1. Assuming you know the graphs of [131 an
Multivariable Calculus Week 4
Functions of Multiple Variables
This week we will learn about:
Functions of two (and more) variables,
Limits of functions of two variables, and
Continuity of functions
Multivariable Calculus Week 9
Multivariable Integration
This week we will learn about:
Double integrals,
Iterated integrals and Fubinis theorem, and
The average value of a function.
Extra reading (
Multivariable Calculus Week 5
Derivatives in a Specific Direction
This week we will learn about:
Partial derivatives,
The gradient vector, and
Directional derivatives.
Extra reading:
Sections 10.3
Multivariable Calculus Week 6
Tangent Planes and the Chain Rule
This week we will learn about:
Tangent planes,
Linear approximations of multivariable functions, and
The chain rule for multivariable
Multivariable Calculus Week 3
Functions in 3D Space
This week we will learn about:
Working in 3D space,
Parametric curves in 3D, and
Parametrizing by arc length.
Extra reading:
Sections 10.1, 10.7
Multivariable Calculus Week 10
Fancy 2-Dimensional Integrals
This week we will learn about:
Double integrals over non-rectangular regions,
Swapping the order of integration, and
Change of variables
Multivariable Calculus Week 7
Maximizing and Minimizing
Functions of Multiple Variables
This week we will learn about:
Local maximums and local minimums,
Critical points,
The second derivative test
Multivariable Calculus Week 2
Polar Curves
This week we will learn about:
Polar curves,
Calculus of polar curves, and
Conic sections in polar coordinates.
Extra reading:
Sections 9.39.5 in the tex
Multivariable Calculus Week 8
Constrained Optimization
This week we will learn about:
Absolute maximums and minimums on a set,
The extreme value theorem, and
Lagrange multipliers.
Extra reading:
S
Fall 2015 MATH 2111 Multivariable Calculus
Assignment #2
Due date: Friday, October 2 at 10:20am (in class)
Marked out of: 30 (worth 4% of your final grade)
Unless stated otherwise, show your work for
Fall 2015 MATH 2111 Multivariable Calculus
Assignment #5
Due date: Monday, November 23 at 10:20am (in class)
Marked out of: 30 (worth 4% of your final grade)
Unless stated otherwise, show your work fo
Fall 2015 MATH 2111 Multivariable Calculus
Assignment #6
Due date: Monday, December 7 at 10:20am (in class)
Marked out of: 30 (worth 4% of your final grade)
Unless stated otherwise, show your work for
Chapter 2
2D Possible Solutions
Types of Solutions to Systems of
Equations
Consistent: a system that has at least one solution.
Inconsistent: a system that has no solution.
Dependent: a system that ha
Chapter 2
Example Applied Problem - Continued
The TVs-R-Us company produces three types of color television sets: model X,
Y and Z. The time (in hours) that it takes to create a TV is given in the mat
Chapter 6
Tree Diagram
A tree diagram helps us represent the various
events and their associated probabilities.
The various outcomes of each experiment are
represented as branches emanating from a poi
Chapter 6
Probability of Equally Likely Outcomes
Let S be a sample space consisting of N equally likely
outcomes. Let E be any event. Then
Probability
6.4 Calculating Probabilities of Events
1
Example