Math 1001: Survey of Math

Page Status: Under Construction for Spring 2010. Changes will be coming.
Last Update: Monday, November 23, 2009
Page Author & Instructor: Barry McQuarrie


Session: Spring 2009        Instructor: Barry McQuarrie        Office Hours:
TTh 8:00-9:40am Office: Science 1380 Monday Through Friday 10:30-11:30am
Location: Sci 2200 Phone: 589-6302 (I do not use voicemail) drop in (if my door is open we can talk, if it is closed I am not available)
mcquarrb@morris.umn.edu other times via email appointment
http://cda.morris.umn.edu/~mcquarrb/


Course Prerequisites

To succeed in this course you will need to have had two years of high school math.

Goals

This course provides an overview of mathematics as used in our society. A student who successfully completes this course will

Textbook

NOTE: TEXTBOOK EDITION IS ACCURATE FOR SPRING 2010.

The textbook for the course is For All Practical Purposes, 8th Ed., COMAP. The bookstore will have the latest edition, and the course calendar below is based on the 8th Edition. The differences between the editions is usually minimal, but if you use an earlier edition be aware that some of the sections may be numbered differently, content may be slightly different, and problems listed as practice below may not line up with your older edition. This is a very good book, in my opinion, but it certainly contains far more material than we will cover in this class. It should prove to be an excellent resource for you in the future. To be prepared for the lectures you should read the section the lecture is on before the lecture is given. I will typically not be able to cover everything from the section in the lecture, but I will indicate what material you are responsible for from each section.

Time Commitment

To succeed in this course you will need to be willing to spend, per week, nine hours outside of class reading the textbook and working problems (UMM policy is that one credit is defined as three hours of learning effort per week for an average student to earn an average grade in the course: 4 credits times 3 hours/week/credit - 3 hours/week in lecture = 9 hours/week outside class).

Course Components

Practice. On the course webpage I suggest homework problems for each lecture. You should do as much extra homework as you deem necessary to enhance your understanding of a topic. Falling behind in this course, as in any university course, can lead to disaster, so it is important that you keep up with the homework. Homework is not graded.

Assignments. Assignments will be handed out in class, and collected in class (the due dates are listed on the syllabus).

Assignments will be handed in at the beginning of class on the day they are due, unless you have spoken to me beforehand and I have granted an extension. Putting assignments in my mailbox or under my office door while I am teaching another course is severely frowned upon unless we have agreed that you will be doing this. If this is done when I am teaching your class I will not accept the work--believe it or not, people have actually done this!

I am demanding that solutions be written up well. This means solutions should be a self-contained document. They should be written legibly, contain diagrams or tables where appropriate, and should state the problem and explain the solution. Interspersing English sentences which explain what you are doing can help in this regard. With its worked-out examples, the book provides many examples of a good solution. To say it a different way, solutions with totally correct computations lacking in necessary good explanations will tend to receive 85%, not 100%.

It is OK to collaborate on assignments, and I anticipate many of you will work with other students in the class, however, every student turns in their own solutions to all the problems on each assignment. Collaboration does not mean that others do your thinking for you. Collaboration in this course means there is a good back and forth conversation among study partners, but never direct copying of another's work. For example, if a study partner gets stuck on a problem, you should help them get unstuck by telling them in words what it was that you did to get past the part they are stuck on. Using words instead of showing them your work is important, since they will then have been provided a hint but will still need to do the work themselves. This facilitates learning, which simply copying your work will not. If in helping a classmate you get to the point where you think you need to show them your work for them to be able to answer the question, don't show them your work--it is time for them to come visit office hours.

Excel is a component of some assignments, and each student will create their own Excel-based solutions when these are asked for. Basically, you should not work two people to one computer--if two people are working on separate computers they can talk with each other if they get stuck, but each person creates their own solution, and that is what I want. Do not leave copies of your assignments on public computers! Copy them to your own disk and then delete them from the Recycle Bin before you leave a public computer.

Exams. You will not be allowed any outside material on your desks during these exams. You will need a calculator that can do exponents (23=8 for example) for some of the problems on the tests and final. Debriefing after tests should be done during office hours, after you have had a chance to reflect on the exam.

Grading

Here is the University-wide uniform grading policy.

A Represents achievement that is outstanding relative to the level necessary to meet course requirements.
B Represents achievement that is significantly above the level necessary to meet course requirements.
C Represents achievement that meets the course requirements in every respect.
D Represents achievement that is worthy of credit even though it fails to fully meet the course requirements.
F Represents failure and indicates that the coursework was completed but at a level unworthy of credit, or was not completed and there was no agreement between the instructor and student that the student would be temporarily given an incomplete.
A few of you may be taking the course S-N. In this case, you need to earn a C- to receive an S. An incomplete grade (I) is only given under truly extraordinary circumstances (falling behind in the course is not a sufficient reason for an I to be granted).

The grade for the course will be calculated by the following formula:

Eight Assignments @ 8% each 64%
Four tests @ 9% each 36%
Total 100%

Your numerical grades will be converted to letter grades and finally Grade Points via the following cutoffs (see the UMM Catalog for more on Grades and Grading Policy):

Numerical 95% 90% 87% 83% 80% 77% 73% 70% 65% 60% Below 60%
Letter A A- B+ B B- C+ C C- D+ D F
Grade Point 4.00 3.67 3.33 3.00 2.67 2.33 2.00 1.67 1.33 1.00 0.00

Respectful Classroom

Lecture Preparation

The majority of your learning will take place outside of lectures, as you work problems and read the text. You will not learn everything you need to learn in this course simply by coming to lectures, nor if you miss lectures. You must come to lectures and put in the time outside of class to master the material. To get the most out of the course you should

Exam Preparation

Here are some suggestions to guide your preparation for tests. If you have a technique which works for you and isn't listed here, please let me know so I can pass it on to your peers!

Course Calendar

Here is the tentative lecture schedule. You are responsible for any changes to this schedule which are announced in class. Assignments will be handed out in class, and due on the date listed below.

# Date Notices Topic Practice Concepts/Resources
 
1 Jan 20 Course Introduction
Chapter 1: Urban Services
Graph of Cyrus
3,4,17,18,21,29
Euler Circuits
Worksheet | Solution
graphs (vertex, edge, path, circuit), Euler circuit, valence, connected graph
Sand Drawings
2 Jan 22 Chapter 1: Urban Services
Chapter 2: Business Efficiency
310,224,200,866,619,719,680,000
Ch 1: 31,33,41,56
Eulerizing a Graph
Ch 2: 1,3,5,9,13,21
eulerizing a graph, digraph, optimal solution,weight, complete graph, Hamiltonian circuit, minimum-cost Hamiltonian circuit, method of trees, counting, Saying Big Numbers, Deep Thought
 
3 Jan 27 1 Due | Stats Chapter 2: Business Efficiency
Using Kruskals Algorithm to Create Mazes
How Short a Shortcut? & Stamp
33,35,37,47,49,51,59,63
Nearest Neighbour Alg.
Sorted Edges Algorithm
Kruskal's Algorithm
nearest neighbour algorithm, sorted edges algorithm, trees, spanning tree, minimum cost spanning tree, TSP Java Applet, Kruskal's algorithm, Java Applet for Kruskal's Algorithm
4 Jan 29 Chapter 2: Business Efficiency & Chapter 3: Planning & Scheduling
ORD Examples
Ch 2: 68,72
Ch 3: 5,7,11,13,17,25
order requirement digraph, scheduling and schedules, list processing algorithm, critical path scheduling, independent tasks, decreasing time list algorithm
 
5

Feb 3

2 Due | Stats Chapter 3: Planning & Scheduling
Bin Packing Example
43, 47, 55, 5765,75
Vertex Coloring
Scheduling
bin packing algorithms, Review of Scheduling, vertex coloring, chromatic number, Map Coloring Resource for Teachers
The Four Colour Theorem:
History
A More Mathematical Discussion
New Proof
6 Feb 5 Chapter 4: Linear Programming Ch 4: 1,5,7,9,21,27,31 Interactive Demo, Graphical Solution to System of Linear Inequalities, constraints, the feasible region, the corner principle
 
7 Feb 10 Chapter 4: Linear Programming
feasible region and the profit
Example (Excel File), FYI: Solving LP problems with Excel
8 Feb 12 3 Due Test on Chapters 1-4
2009 Grade Distribution
Test 1 Practice | Solution
 
9 Feb 17 IH 11 (Computer Lab) Excel Workshop in Imholte 11
Section 1: Introduction to Using Excel Spreadsheets
ExcelIntro.xls
Guide for Excel 2003 and OpenOffice
10 Feb 19 Chapter 5: Exploring Data: Distributions
Histograms for Health Insurance (Excel) (data)
Boxplots for Construction Wages (Excel)
5,7,11,21,23,29
Histogram Example
Old Faithful
distributions, numerical summaries, histograms (shape center, spread, outlier, symmetric, skewed), stemplots, mean, median, quartiles, five number summary, boxplots, variance, standard deviation, Application of Boxplots
 
11 Feb 24 Chapter 6: Exploring Data: Relationships
Excel File on Regression
3,5,11,23
Correlation and Regression
scatterplots (response & explanatory variables, form, direction, strength), regression lines, correlation, Regression Applet, Sample Data Sets
12 Feb 26 IH 11 (Computer Lab) Excel Workshop in Imholte 11
Section 2: Analyzing Data Using Excel
data1.txt | data2.txt
 
13 Mar 3 IH 11 (Computer Lab) Excel Workshop in Imholte 11
Exploring Data
chance to work on Assignment #4
14 Mar 5 4 Due Chapter 8: Probability
Dice Experiments
1,5,7,9,13,17,25,27 probability, sample space, event, probability rules, probability model for a finite sample space, Rolling Dice, the mean of a probability model, law of large numbers, The Fair Dice, The Fair Dice (interactive but flaky), Even More Dice
 
15 Mar 10 Chapter 8: Probability 33,35,37,39 normal distributions, probability as area under curve, mean, standard deviation, 68-95-99.7 rule, central limit theorem
16 Mar 12 5 Due Test on Chapter 5,6,8
2009 Test Grades
2009 Overall Grades So Far
Test 2 Practice | Solution
 
Mar 17 Spring Break
Mar 19 Spring Break
 
17 Mar 24 Pascals`s TriangleClass Cancelled
18 Mar 26 Chapter 21: Saving 1,3,5,11,12,13 simple and compound interest, arithmetic and geometric growth, terminology, continuous compounding (exponential function, e)
 
19 Mar 31 Chapter 21: Saving 17,21,31,33 accumulation, savings formula, terminology, exponential decay, inflation, depreciation, Consumer Price Index
20 Apr 2 IH 11 (Computer Lab) Excel Workshop in Imholte 11
Saving:
What Excel file should look like
chance to work on Assignment #6
 
21 Apr 7 6 Due Chapter 22: Borrowing 1,15,19,23,25 simple and compound interest, conventional loans, amortize, amortization calculator, home equity, Interest Only Loans
22 Apr 9 IH 11 (Computer Lab) Excel Workshop in Imholte 11
Borrowing:
What Excel file should look like
chance to work on Assignment #7
 
23 Apr 14 Chapter 23: Economics of Resources
Population Growth Models (Excel)
7,9, 11, 13, 15,21, 21, 23, 25, 41 Arithmetic, Geometric, Logistic Grow; population doubling; How long nonrenewable resources last, Sustaining renewable resources, cobweb diagrams, chaos
24 Apr 16 Test on Chapter 21-23
2009 Grade Distribution
Test 3 Practice | Solution
 
25 Apr 21 7 Due Chapter 19: Symmetry and Patterns
Fibonacci Sequence (Excel)
1,7,9, 21, 23 Golden Ratio, Fibonacci, Fibs blog, rigid motions, golden rectangle and aesthetics
26 Apr 23 Chapter 19: Symmetry and Patterns
Group Theory
27,49,54,55 Symmetry Group for Equilateral Triangle, Group for Equilateral Triangle
FYI: Group Properties of Integers
FYI: Groups in Chemistry
 
27 Apr 28 Chapter 19: Symmetry and Patterns
Strip Patterns
Chapter 20: Tilings
Ch 19: 33,37
Ch 20: 1,3,12
notation for patterns strip pattern used in class, regular polygons, regular and semiregular tilings, tilings with irregular polygons
Web Resources: Totally Tesselated
Interactive Tessellation Tool
28 Apr 30 Chapter 20: Tilings 27,29,30 Escher, tiling by translations, tilings by rotations and half turns.
Web Resources: Interactive Tesselate
Totally Tesselated: Escher, M. C. Escher Home Page, Escher and Droste Effect
 
29 May 5 Movie Sign!! The Fantastic World of M.C. Escher
30 May 7 8 Due
 
May 14 8:30-10:30am Final Exam on Chapters 19,20 Test 4 Practice | Solution