MATH 160 — Introduction to Contemporary Mathematics

Introduction to Contemporary Mathematics, will be based on the Text, Excursions in Modern Mathematics, 4-th Edition, by Peter Tannenbaum and Robert Arnold, (Prentice Hall, Upper Saddle River, NJ 07458, 1998, ISBN 0-13-5983355-5). According to the line schedule, enrollment in this particular section (REF #14510, MWF 8:30) is restricted to Elementary Education majors only. However, if there is space available, I will admit students from outside this curriculum, after having first given priority to elementary education majors.

     While this course carries College Algebra (MATH 100) as a prerequisite, I don't anticipate this as being strictly necessary. Not having taught any version of this course in many years, I don't have a fixed syllabus, though one will fairly quickly evolve as we get into the semester. As things stand at the moment, I would like to cover as much as possible of Parts 1 and 2 (the mathematics of Social Choice and the mathematics of Management Science,) together with Part 4 (Statistics). Given many recent events—not the least of which being the recent presidential election—the topics that we shall take up should give us ample evidence that mathematics undergirds much of what happens in our everyday lives.

     It is important to realize that the three sections of MATH 160 are run independently of each other. In particular, the syllabi and grading criteria for these three sections need not be the same. Thus, the present syllabus is valid only for students in the MWF 8:30 section of MATH 160.

     In the broadest terms, this course is intended as a “math appreciation” course. However, rather than trying to get students to appreciate mathematics for its intrinsic beauty (which is probably a far too lofty goal), I hope to get the students to heighten their awareness of the ubiquity of mathematics: we shall find mathematics rearing its head in some very pedestrian, but genuinely interesting circumstances. For future elementary school teachers, this is an especially important theme, as children need to be apprised as early on as possible of both the beauty and the utility of mathematics. For this to happen, it is logically necessary for the teachers to have also fully embraced this important fact. We see that as human beings, we are confronted on a daily basis by “problems.” For example, we shall begin the semester by considering various voting schemes. This is appropriate if only because of the recently disputed presidential election. A problem is to find one that is “fair,” or to find one that is the “most fair.” What mathematics shall do for us is to give us means (more than one, in fact, and this is where life gets interesting!) by which we can say precisely what “fair” means. The beauty here is that we don't need rocket-science mathematics to accomplish this. Grade-school arithmetic will do. But we do need to develop a little maturity and sophistication to genuinely appreciate what's going on. At the same time, the future teachers among you should already be thinking ahead to significant related classroom activities for your future students. Note that in this particular instance, well-thought-out lesson plans for your students will result not only in heightened mathematical awareness for your students, but also in heightened social awareness.

     For the students in this course, the objectives are two-fold. First, I set a baseline requirement that the students can carry out the necessary mathematics (simple arithmetic for the most part) to make simple deductions. Secondly, and this will separate the wheat from the chaff, I will ask the students to think enough about what they are calculating in order to interpret their calculations. This will often take the form of making a reasoned conclusion about the real-life problem, given in the language of the problem, rather than in the language of mathematics.

     A typical scenario is likely to be of the following genre. Imagine that you're working in some organization, and that in the spirit of the Dilbert comic strip, your boss is a complete idiot. In particular, he knows no mathematics (and probably little of anything else). Anyway, he's apt to ask you questions that probably are not only devoid of mathematical content, they are almost devoid of any meaning at all. Yet, you work for him and you need to produce a measured response. You must

  1. give the problem some sort of meaning—ideally as having some sort of quantifiable entities;
  2. do whatever mathematics is appropriate to sort out the above quantities;
  3. render your conclusions in a non-mathematical, and yet meaningful manner to communicate with your superior.

In other words, what I hope to accomplish here is for the students to see the mathematics that is otherwise hidden in the background.

     As for the tangibles of this course, i.e., your grades, I will consider each student's work from a variety of sources. First, I expect to have two or three in-class, one-hour examinations, together with the scheduled final examination. Each exam will be preceded by selected review questions to help you focus your study. If I feel that the students' work is in need of further evaluation, I will consider having short in-class quizzes. However, such quizzes will be announced ahead of time, as I won't give pop quizzes.

      Homework will be turned in each Monday, starting with Monday, January 22. There is a homework mailbox which is labelled MATH 160 and has my name on it. The deadline is set for 6:00 p.m. each Monday. I have a grader who will grade five problems each week, and will give either 2 points for a problem correctly worked (or nearly so), 1 point for a solution with mistakes, but worthy of partial credit, and 0 points otherwise. Each homework batch (see below) will consist of several problems—those that are bold faced represent problems from which the graded problems shall be selected. I will let the grader know each Monday which of the bold-faced problems are to be graded.

     I will give each student ample opportunity to demonstrate that the objectives of the course are being met. Thus I will allow myself some subjective flexibility. One very good way to mitigate a less than satisfactory score on an exam is to ask good questions in class, or to offer up incisive remarks. I want you to show that you have put some serious thought into the subject matter; there can be a variety of means for you to demonstrate your efforts.

      Please bring your texts to class. I do intend to pull quite a bit of material directly from the text and your having the book in front of you will facilitate our discussions immensely. This is especially true when referring to some of the graphics in the book, as they are difficult to reproduce on the blackboard.

      There are a couple of dates to keep in mind here.

There will be additional information posted here so check here often. You have my wishes for an intellectually stimulating semester.

Exercise Batches

  1. Voting Methods. Page 25 ff:
    • Walking: 1, 4, 7, 10, 12, 13, 17, 19, 21, 23, 27, 29, 32, 34, 36, 42, 46, 50, 52,
    • Jogging: 53, 54, 58, 59,
    • Running: 62
    • Also read Appendixes 1 and 2.
  2. Weighted Voting Systems—Power. Page 63 ff:
    • Walking: 1, 2, 3 (in each of the exercises (a)-(d) you are to represent the voting system in the form [q;w1,w2,w3,w4]; that is, you need to determine q, w1,w2,w3,w4 in each case), 4, 6, 8, 9, 11, 12, 13, 15, 16, 18, 19, 20, 21, 22, 23, 24, 26, 29, 32, 33, 34, 35, 37.

    • Jogging: 43, 44, 45, 46, 53, 59, 60.
    • Also think about this one: Suppose that we have a set A={a1, a2, a3, ..., an} of n elements. Explain why, for any number k, where k is between 0 and n, the number of subsets of A with exactly k elements in them is exactly n! / (k! (n-k)!).

    • Running: 63. (You'll need to refer to Exercise 60 for the definition of equivalent voting systems.) Don't worry if you don't get this problem—I just want you to give it some thought.

  3. Fair Division. Page 99 ff:

    • Walking: 1, 2, 3, 4, 5, 6, 9, 10, 15, 16, 19, 23, 25, 26, 39, 40, 43, 44.
    • Jogging: 55, 59, 60.
    • For the really interested: As we've commented several times in class, the notion of "fairness" in the fair-division problem is predicated on the fact that if there are n people to divide up the continuous property, then each person believes that (s)he got at least 1/n of the whole. What this doesn't rule out, however, is that one player might, despite feeling that (s)he got at least 1/n of the whole, feel that someone else might have gotten considerably more. To this end, think about the possibility of this happening with the two dividers, one chooser method. Either one of the dividers might feel that the chooser walked away with more than 1/3 of the loot. When this happens, we say that there is envy involved. So a more stringent question becomes this: Is it possible to divide a cake up among n players in such a way that every player feels that (s)he got at least as much as everyone else. Thus, this division is called an envy-free division. You can get a good idea of what's involved in envy-free division by looking at Exercise 70 on page 118. The mathematics of envy-free division is a bit involved. A paper where this is discussed is Oleg Pikhurko, On envy-free cake division, Amer. Math. Monthly 107 (2000) 736–738. (See also the references contained therein.) I don't really expect you to read this as you don't have the mathematical prerequisites; rather I just want you to know that this problem has been addressed in the literature.

  4. Mathematics of Apportionment Page 140 ff:
    • Walking: 1–5, 7, 8, 10, 13, 15, 17, 27–29.
  5. Collecting Statistical Data Page 466 ff:
    • Walking: 1–4. (For problem #4, use the fact that the sampling error, expressed as a decimal, is given by the formula

      |estimated value – true value|/true value

      For example, if the true value, N, of a population is estimated as n, then the sampling error (as a decimal) is |n – N|/N. As a particular example, if the estimated value of a population of N=1,243,101 is n=1,137,003, then the sampling error is

      |1,137,003–1,243,101|/1,243,101 = .0853

      or roughly an 8.5% sampling error.), 5 (both parts), 6–8 (for #7 the sampling error is the largest of the individual sampling errors), 9–12, 13, 14 (both parts), 15–16, 21, 23, 24, 25–26, 27–30, 35, 36 (c), 37–38.

    • Jogging: 41, 42, 45.
  6. Descriptive Statistics Page 497 ff.

    • Walking: 1–4, 5, (a), (b), (c), 9 (a), 11 (b), 13, 14 (b), 18, 20, 21, 22, 23, 24, 27, 31 (a), (b), 33 (a), (b), 37 (a), (b), 41, 46 (a), (b), 49 (a), (b), (c), 51 (a), (b), 56 (a), (b), (c).
    • Jogging: 67, 68, 70, 76.
    • Assigned Problem: Please consider Example 4 on page 481, and make the additional assumption that of the total U.S. population, one third (on average) watches prime-time television. What percentage of the teenage poputation watches prime-time TV?

  7. Chances, Probabilities, and Odds Page 530 ff.
    • Walking: 1, (a),(b), (c), 3, 5, 6, 10 (In this question, assume that the 5 gumballs all come out at once and in no particular order. Can you find N?), 11, 12, 14, 15, 16, 19, 20, 21, 22, 24, 25, 30, 32, 35, 37, 38, 39 (What would you say is the probability that the spinner falls exactly on the line separating two regions?), 41, 42, 43, 44, 46, 49 (a)–(d), 50, 51 (a),(b), (c), 52, 54, 55 (a)–(d), 56 (a)–(d), 57, 58, 60, 63, 64.

    • Jogging: 65, 69, 70, 72, 73, 76, 78.

  8. Normal Distributions Page 559 ff.
    • Walking: 1, 2, 3, 4, 6, 8, 9, 12, 13, 14, 17, 18, 19, 22, 25, 28, 29, 30, 31 (a)–(d), 32 (a), (b), (c), (d), 34 (a)–(d), 37 (a)–(d), 38 (a), (b), 39 (a)–(c), 40 (a), (b), (c), 41 (a)–(f), 43 (a)–(c), 44 (a), (b), (c), 47 (a)–(d), 48 (a)–(c), (d), 53, 54.

    • Try this one: Suppose that you roll a fair die and that
      • if you roll a "one," then I'll pay you $10, but
      • if you roll anything else, you must pay me $2.
      Suppose that you play this game 120 times.
      • How much do you expect to win (or lose) overall?
      • What is the probability that your cumulative earnings will be somewhere between $0 and $490? (Hint: Note that the standard deviation for the approximating normal distribution is roughly 24.5, where we have used the Dishonest Coin Principle with p = 1/6.)

Review for Exam I

Exam I

Review for Exam II

Exam II

Notes on the Time Value of Money



Of General Interest