Math 333A
Partial Differential Equations
Fall, 2006

Syllabus


Overview of course

“ [The universe] cannot be read until we have learnt the language and become familiar with the characters in which it is written. It is written in mathematical language, ... without which means it is humanly impossible to comprehend a single word. ” — Galileo Galilei, Opere Il Saggiatore p. 171.

The wonder of the Lord's handiwork is all around us, to paraphrase Psalms 19:1. In Genesis 1:28 it is recorded that God commanded we who were created in His image should “fill the earth and subdue it”. One way that we can do this is to find appropriate mathematical models to express natural phenomena and use these models to predict, even affect, future behavior. Frequently scientists are best able to express models as differential equations — that is, in terms of one or more unknown quantities and their rates of change. Each of you has seen some of the most important ordinary differential equation (ODE) models. In this course we shall study partial differential equations (PDEs), and a number of techniques used to solve them. We will see that while, in general, these types of equations require more sophisticated solution methods, many interesting and practical problems require such models.

The course we will draw and expand upon such topics from earlier courses as infinite series, vector spaces, Laplace transforms, etc. Along with spending time on these (and new ones as well) theoretical constructs, a fair amount of our time will be devoted to the practical consideration of solving PDEs numerically. The course should provide a solid introduction to the vast, expanding subject of PDEs.

Our text is Introduction to Partial Differential Equations: A Computational Approach, by Tveito and Winther. Topics to be covered include modeling with PDEs, nondimensionalization, asymptotic analysis, solving 1st-order linear PDEs via the method of characteristics, pure initial value problems, 2nd-order initial boundary value problems, and numerical solutions using finite differences and finite elements. For those in this list not addressed in our text, handouts or other supplementary material will be provided when possible/appropriate.

Course objectives

Contacting the professor

My office is NH 281. The hours I am intentionally in my office for student questions are posted on my homepage, and are subject to change during the semester. If we cannot hook up at one of these times, feel free to talk with me about an appointed time to meet, or swing by my office in the hopes that I am available to help. If you feel yourself falling behind in the class, it is very important not to put things off, but to seek help right away. Do not wait until a time close to an exam before speaking with me.

I may be reached by phone at x66856, but a better way to reach me is by email. If you require my approval for something, do not consider having left a message for me as equivalent to having obtained that approval.

Use of technology

Most course information including this syllabus, homework assignments, a calendar showing due dates, test dates, etc. (updated as often as a couple of times each week), and handouts are accessible via a web browser. (Student's of mine using Microsoft's Internet Explorer have, in the past, encountered problems with some of my course pages not coming up in their browser when, correspondingly, they came up just fine in Mozilla.) While many announcements, hints, etc. may be given in class, things that cannot wait until the next class period will be sent to you as email messages. Thus, it is important that you be checking your email frequently.

In addition, a number of assigned problems will require the use of software. We will not necessarily stick to any single software package for these problems, though whenever appropriate, I will encourage/require the use of Octave, a GNU-license (free!) package which is available for all major operating systems and has the feel of Matlab. In general, whether the choice of software is left open or not on a specific assignment, you will be expected to hand in both nicely-formatted output (graphs, tables, etc.) and the code (which must be well documented) used to generate it.

Your written work

Your write-ups for all assignments must be in your own hand (or typed) and words, except when otherwise directed. Give as much attention to presenting your solutions in a coherent manner (using mathematical symbols as part of your sentence structure) as you give to actually solving problems, as it is the explanation of each problem that is graded (not simply the answer itself). While submission of work that incorporates another's writeup will be considered academic dishonesty (See Section 4.2.8 of the Faculty Handbook), you may borrow someone's idea for solving a problem, so long as significant steps which were borrowed from that person (website, book, etc.) are attributed to that person (website, book, etc.).

Evaluations

Your grade will be determined by your performance on homework, projects, in-class exams, and the cumulative final exam. Homework will be collected, in general, once per week. Assignments themselves may be viewed from the homework page. Problems are placed on an assignment throughout the week prior to when it is due, and the list should not be considered complete until the end of that week (Saturday). As these problem sets represent a significant part of your overall grade (likely somewhere in the 20-25% range), you are advised to give attention to content, neatness and organization. Electronically-produced write-ups are most welcome, and TeXShop (one of several LaTeX distributions for typesetting mathematics) is installed on machines in the Mathematics Department computer laboratory NH 067; the document "The Not So Short Introduction to LaTeX2e" (subtitled "LaTeX2e in 133 minutes") does a very nice job of presenting generally (i.e., not specific to any particular distribution) how to use LaTeX. I consider an assignment late if I receive it after I have graded those which were handed to me in class on the due date.

Projects (the term here is not meant to be equated with exercises in the "project" sections at the end of chapters in your text) are lengthier than problems on homework assignments, and constitute a different category than homework exercises. A list of projects will be maintained along with degree of difficulty and due dates. You are not required to do every project—only enough that the degrees of difficulty sum to 3 (or greater).

Accomodations

[an error occurred while processing this directive]

Citizenship

The type of concentration required for mathematics/statistics calls for a distraction-free environment. Please do your part to make the classroom one conducive for learning by arriving on time, not working on homework assignments during class, refraining from frivolous talk, and actively participating in in-class discussions/activities.

Please speak with me about problems or issues as they arise during the semester. I am still growing as a teacher, and if you have concerns, it is simply a matter of “building one another up” that you should raise them in an appropriate moment, preferably while adjustments may still be made that affect your class.


This page maintained by:
Thomas L. Scofield
Department of Mathematics and Statistics
Calvin College

Last Modified: Thursday, 31-Aug-2006 13:47:18 EDT