Holy Cross Mathematics and Computer Science




Mathematics 132 -- Calculus for the Physical and Life Sciences 2, section 1

Syllabus Spring 2008

Professor: John Little
Office: Swords 339
Office Phone: (508) 793-2274
Email: little@mathcs.holycross.edu (preferred), or jlittle@holycross.edu
Office Hours:
Course Homepage: http://mathcs.holycross.edu/~little/MATH131-1320708/132Home.html


Table of Contents

  1. Is This The Right Course For You?
  2. Course Description
  3. Course Objectives
  4. Textbook
  5. What Will Class Meetings Be Like?
  6. Advice On How To Succeed In This Class
  7. Notes On Calculators
  8. Grading Policy
  9. Academic Integrity Policy
  10. Course Schedule
  11. Final Examination

Is This The Right Course For You?

This course is the continuation of MATH 131 (Calculus for Physical and Life Sciences 1) from the fall. If you are joining the class from a different section of MATH 131, you will have covered exactly the same topics as we did in this section, so there should not be any surprises. If you are joining the class from a section of MATH 125, or if you took MATH 126 in the fall, you might find that there are some topics your course did not cover, or did not place the same emphasis on. This may be true, in particular, the notion of parametric curves in the plane, for connections between calculus and physics (especially velocity and acceleration of moving objects) and for topics concerning trigonometric and inverse trigonometric functions. If you find things that are unfamiliar, you may need to do some extra review work to catch up, but I will be happy to advise you on this and to answer any questions you might have.

If you earned a grade of C or below in MATH 131, you should be aware that there are many topics we will study this semester that draw heavily on material from MATH 131 that you may not have learned completely the first time around. To succeed in this course, you may need to review and/or relearn some things from that first semester. While this is certainly possible, it will not be easy either, since you will find that this course moves at least as quickly as MATH 131 did.


Course Description

Calculus is the mathematics of change. First developed in the 17th century, it has been a major part of mathematics since that time. Calculus is important because it is the basis for a major portion of the science and technology that shape the contemporary world. Many of the techniques used to study motion of objects in physics, kinetics of chemical reactions, growth or decline of populations of organisms in biology, growth of national economies, and many other phenomena in the real world involve calculus. Although it might sound like an exaggeration now to say it, calculus is also one of the crowning achievements of the human intellect. You are in for an exciting journey of exploration as you learn it! Two men, Isaac Newton and Gottfried Leibniz, are given most of the credit for developing the calculus. Their contribution was primarily explaining the relation between finding the rate of change of a function (the derivative) and computing the "total accumulation" of a function over an interval (the definite integral). We will begin this semester by studying their big result -- the Fundamental Theorem of Calculus and then learn a number of applications of this theorem. The topics to be covered this semester are:

See the course schedule below for a more detailed week-by-week breakdown of the semester. An even more detailed schedule is maintained on the course homepage.

Course Objectives

The objectives of this course are:


Textbook

The text book for the course is Single Variable Calculus, Concepts and Contexts, 3rd edition by James Stewart, Thomson Brooks/Cole, ISBN 0-534-41022-7 (the same text as last semester). We think you will find reading and studying this book to be challenging, but ultimately very rewarding. We will cover chapters 5 - 8 this semester.


What Will Class Meetings Be Like?

In order for students to get as much as possible out of this or any course, regular active participation and engagement with the ideas we discuss are necessary. And working through questions in a group setting is a good way to develop a deeper understanding of the mathematics involved, if you approach the enterprise as a truly collaborative effort. That means asking questions of your fellow students when you do not understand something they say or think they do see, and being willing to explain your own ideas carefully when you see something that someone else does not. Looking to the future as well, working effectively in a group is also a valuable skill to have.

So with these points in mind, regularly throughout the semester the class will break down into groups of 3 or 4 students for one or more days, and each group will work individually for most of those class periods on a group discussion exercise. I will be responsible for designing and preparing these exercises, and I will be available for questions and other help during these periods. At the conclusion of each discussion, the class as a whole may reconvene to talk about what has been done, to sum up the results, to hear short oral reports from each group, etc. Each group will keep a written record of their observations, results, questions, etc. which will be handed in. I will return them with comments, for all members of the group.

Regularly during the semester the class will meet in the Haberlin 408 PC laboratory for ``math lab'' classes. Each of these sessions will lead to a lab writeup assignment. (The due date will be announced when the assignment is given out.) We will be using an excellent, extremely powerful, general-purpose mathematical software system called Maple. We will use Maple to produce graphs of functions, calculate numerical approximations to integrals, and compute symbolic derivatives and integrals of functions. In fact Maple is so powerful that we will be using only a small fraction of what it can do. If you take additional mathematics courses at Holy Cross, you will probably use many other features of this same program. And programs like this are now a standard tool in many areas of science, engineering, even finance. Being able to use them effectively is also a valuable skill to have!

The other meetings of the class will be structured as lectures when that seems appropriate.


Advice On How To Succeed In This Class

A good "work ethic" is key. You do not need to be a "math genius" to master this material and do well. But you will need to put in a consistent effort and keep up with the course.

Come to class. Unless you are deathly ill, have a genuine family emergency, etc. plan on showing up here at 8:00 am every Monday, Tuesday, Wednesday, and Friday this semester. If attending class wasn't important, all college courses would be by correspondence, and your tuition would be much lower!

Use the textbook and class notes actively. Don't just use them to look for worked problems similar to ones on the problem sets. Plan to look over the section to be covered each day before coming to class. That will make the lecture or other class activity more understandable. After the class, if things were not clear, you will find alternate explanations of concepts that may help you past a "block" in your understanding. Reading a math book is not like reading a novel, though. You will need to read very carefully, with pencil and paper in hand, working through examples in detail and taking notes. If necessary, make a list of questions to ask in office hours or at the next class. Another thing to bear in mind while reading your text is that the result of an example is often secondary to the process used in obtaining the result -- that process is the real point, and that's what you should take away from studying the example.

Take notes and use them. This may seem obvious, but in my experience too many students seem to copy down everything on the board diligently, and then never look at their notes again. Used intelligently, your notes can be a valuable resource as you work on problem sets and prepare for exams. Indeed, one technique that many students find helpful is to recopy the class notes, filling in details that might have been clear the first time, putting in extra examples, explanations or ideas that really helped them understand the material, and so forth.

Set up a regular study schedule and work at a steady pace. It's not easy to play catch-up in a mathematics course, since every day builds on the previous one. You should expect to budget at least 6 hours in a typical week for work outside of class. The best way to use your time is to do a few problems, a little reading from the book, and reviewing of class notes every day.

Most importantly, if you are having difficulty learning something, get help as soon as possible. You can do this by asking questions during class (any time something isn't clear), seeing me during office hours, or attending the Calculus Workshop in the evenings Sunday-Thursday.


Notes on Calculators

It is certainly true that a decent graphing calculator is a good investment for this and your other science courses. However a calculator will not be required and you will not be allowed to use one on exams where the goal is to make sure you know how to do certain things "by hand". The department has a supply of "basic" scientific (i.e. non-graphing) calculators that will be provided for your use on exams when some ``number-crunching'' may be required.


Grading Policy

Grading for the course will be based on:

  1. Three midterm exams -- 50% of course average. These will be given on Wednesday evenings at a time and place to be announced. Dates: February 20, March 26, April 23.
  2. Final exam -- 30% of course average. The final will be given at 2:30 p.m. Check Time on Thursday, May 8. Make your travel plans for the summer accordingly!
  3. Written reports from small group discussions and computer labs -- 10% of course average.
  4. Weekly individual problem sets -- 10% of course average.

Important Notes:

I will be keeping your course average in numerical form throughout the semester, and only converting to a letter for the final course grade. The course grade will be assigned according to the following conversion table (also see Note below):

Note: Depending on how the class as a whole is doing, some downward adjustments of the above letter grade boundaries may be made. No upward adjustments will be made, however. (This means, for instance, that an 85 course average would never convert to a letter grade of B- or below.) If you ever have a question about the grading policy or your standing in the course, don't hesitate to ask me.


Departmental Statement on Academic Integrity

Why is academic integrity important?

All education is a cooperative enterprise between teachers and students. This cooperation works well only when there is trust and mutual respect between everyone involved. One of our main aims as a department is to help students become knowledgeable and sophisticated learners, able to think and work both independently and in concert with their peers. Representing another person's work as your own in any form (plagiarism or ``cheating''), and providing or receiving unauthorized assistance on assignments (collusion) are lapses of academic integrity because they subvert the learning process and show a fundamental lack of respect for the educational enterprise.

How does this apply to our courses?

You will encounter a variety of types of assignments and examination formats in mathematics and computer science courses. For instance, many problem sets in mathematics classes and laboratory assignments in computer science courses are individual assignments. While some faculty members may allow or even encourage discussion among students during work on problem sets, it is the expectation that the solutions submitted by each student will be that student's own work, written up in that student's own words. When consultation with other students or sources other than the textbook occurs, students should identify their co-workers, and/or cite their sources as they would for other writing assignments. Some courses also make use of collaborative assignments; part of the evaluation in that case may be a rating of each individual's contribution to the group effort. Some advanced classes may use take-home examinations, in which case the ground rules will usually allow no collaboration or consultation. In many computer science classes, programming projects are strictly individual assignments; the ground rules do not allow any collaboration or consultation here either.

What are the responsibilities of faculty?

It is the responsibility of faculty in the department to lay out the guidelines to be followed for specific assignments in their classes as clearly and fully as possible, and to offer clarification and advice concerning those guidelines as needed as students work on those assignments. The Department of Mathematics and Computer Science upholds the College's policy on academic honesty. We advise all students taking mathematics or computer science courses to read the statement in the current College catalog carefully and to familiarize themselves with the procedures which may be applied when infractions are determined to have occurred.

What are the responsibilities of students?

A student's main responsibility is to follow the guidelines laid down by the instructor of the course. If there is some point about the expectations for an assignment that is not clear, the student is responsible for seeking clarification. If such clarification is not immediately available, students should err on the side of caution and follow the strictest possible interpretation of the guidelines they have been given. It is also a student's responsibility to protect his/her own work to prevent unauthorized use of exam papers, problem solutions, computer accounts and files, scratch paper, and any other materials used in carrying out an assignment. We expect students to have the integrity to say ``no'' to requests for assistance from other students when offering that assistance would violate the guidelines for an assignment.

Specific Guidelines for this Course

In this course, all examinations will be closed-book. No sharing of information with other students in any form will be permitted during exams. On group discussion and computer lab write-ups, close collaboration with the other members of your group is expected. On the individual problem sets, discussion of the questions with other students in the class, with the tutors in the Calculus Workshop, and with me during office hours is allowed, even encouraged. However, your final problem solutions should be prepared individually and the wording and organization of your final problem solutions should be entirely your own work. Moreover, if you do take advantage of any of the above options for discussion of problems with others, you will be required to state that fact in a "footnote" accompanying the problem solution. Failure to follow this rule will be treated as a violation of the College's Academic Integrity policy.


Course Schedule

The following is an approximate schedule. Some rearrangement, expansion, or contraction of topics may become necessary. I will announce any changes in class and on the course homepage.

WeekDatesClass Topics Reading (Stewart)
1 1/16, 18 The definite integral 5.1-5.2
2 1/22,23,25 The Fundamental Theorem 5.3-5.4
No class Monday 1/21 -- MLK Day
3 1/28,29,30, 2/1 Begin method of integration (substitution and parts) 5.5-5.6
4 2/4,5,6,8 More methods of integration (trig substitution, partial fractions) 5.6-5.7
5 2/11,12,13,15 Tables, approximate integration, improper integrals 5.8-5.10
6 2/18,19,20,22 Applications to areas, volumes6.1-6.2
Exam I -- Wednesday this week Sections 5.1-5.8
72/25,26,27,29More applications of integration 6.3-6.4, 6.7
3/3,4,5,7 No class -- spring break
83/10,11,12,14 Differential equations, slope fields, separable equations 7.1-7.3
93/17,18,19Exponential and logistic models of growth 7.4-7.5
No class Friday 3/21 -- Easter break
103/25,26,28 Finish differential equations 7.5
Exam II -- Wednesday this week 5.9-5.10, 6.1-6.4,6.7,7.1-7.4
No class Monday 3/24 -- Easter break
11 3/31,4/1,4/2,4/4 Sequences and series 8.1-8.3
12 4/7,8,9,11 More on convergence tests for series 8.3-8.5
13 4/14,15,16,18 Power series, Taylor and Maclaurin series 8.6-8.7
14 4/21,22,23,25 Binomial series, applications of Taylor series 8.8-8.9
Exam III -- Wednesday this week Sections 7.4-7.5, 8.1-8.7
15 4/28,29 Semester wrap-up

A more detailed day-by-day schedule is posted on the course homepage.


Final Examination

The final exam for this course will be given Thursday, May 8 at 2:30 p.m.