# Syllabus – Math 6321, Numerical Solution of Ordinary Differential Equations, Fall 2016¶

## Instructor:¶

Daniel R. Reynolds

## Class and Office Hours:¶

**Lecture:** 157 Fondren Science Building, M/W/F, 2:00-2:50 pm.

**Office Hours:** 139 Clements Hall, M/F 9-10 am, W 1-2 pm, or by
appointment (arrange by email).

## Textbook:¶

Required Reading:

Atkinson, Han & Stewart, Numerical Solution of Ordinary Differential Equations, John Wiley & Sons, 2009. (ISBN 9780470042946)

Atkinson hosts a PDF of the book at http://homepage.divms.uiowa.edu/~atkinson/papers/NAODE_Book.pdf

I have created a set of Errata for Numerical Solution of Ordinary Differential Equations, by Atkin, Han and Stewart for this book (since none are available online), listing all of the errors that I have found.

Recommended Reading:

- Introduction to C++ (online interactive book, $48):
- Sign up at zybooks.com
- Enter zyBook code:
`SMUMath6321ReynoldsFall2016`

- Click
*Subscribe*

- Hairer, & Nørsett & Wanner, Solving Ordinary Differential Equations I – Nonstiff Problems, Springer, 2010. (ISBN 9783642051630).
- Hairer & Wanner, Solving Ordinary Differential Equations II – Stiff and Differential-Algebraic Problems, Springer, 2010. (ISBN 9783642052200)
- Butcher, Numerical Methods for Ordinary Differential Equations, 2nd edition, Wiley, 2008. (ISBN 9780470723357)

## Course Description:¶

*MATH 6321 – Numerical Solution of Ordinary Differential Equations* [3 credits]

Numerical methods for initial value problems and boundary value problems for ordinary differential equations. Emphasizes practical solution of problems using Matlab and C++.

Prerequisites: MATH 2343, MATH 5315 or 6316.

## Educational Outcomes:¶

- How to implement and use a variety of numerical solution methods for ordinary differential equations, including forward Euler, backward Euler, trapezoidal, Runge-Kutta, and linear multi-step methods.
- Error analysis techniques for local and global error in ODE solution algorithms.
- Stability analysis techniques for ODE solution algorithms.

## Computing:¶

In this course, homework and projects will make use of Matlab and
C++. All Math department graduate student workstations should have
both Matlab and the GNU C++ compiler, `g++`

, installed. Students
who do not have `g++`

installed on their home computers can talk
with the professor about how to install it on their operating system.
Alternately, all Math graduate students can log into the Math
department server, *zeno*, to use Matlab and the compilers there.
Students who do not yet know how to do this and own Windows computers
should follow the instructions here to set up
the appropriate software on their computer to allow them to login to
Unix/Linux servers. Students running OS X can follow the instructions
here
on how to log into Unix/Linux servers from their Mac. Students using
Linux most likely don’t need instructions on this, but if so please
see the professor.

## Reading:¶

Reading the sections of the textbook corresponding to the current lecture topic is required, and will be necessary for completing each homework assignment. It is expected that you have read this material in advance of each lecture.

## Homework:¶

Homework assignments will be assigned regularly throughout the
semester, and will consist of programming exercises and written
assignments. Homework problems must be completed **on your own**,
though discussion of the assignments with other students and the
instructor is encouraged. In addition, I encourage all students to
visit my office when they get stuck on bugs in their codes.

## Exams:¶

There will be two exams in this class, which are announced on the course web page. Problems on these exams will relate to the homework assignments.

There is no final exam in this class.

## Projects:¶

There will be one major programming project to be performed during the course of the the semester. By the end of the first week of class I will post descriptions of available project topics based on advanced ODE methods from the literature. Students will choose from these topics early on in the semester.

Students working on the same project are encouraged to discuss the topic as they develop an understanding of how they will approach their programs. However, the implementation of these programs must be completed on your own.

At the end of the semester, all students will turn in reports and give presentations on their project findings. Grades for these projects will be based on speed, accuracy, innovation, and presentation (both written and oral).

These projects will involve a substantial amount of work – you must
begin these very early and *do not procrastinate*.

## Grading:¶

Your course grade will be based on the following decomposition:

20% Homework

25% Mid-term 1

25% Mid-term 2

30% Project

All final grades are assigned on a standard grading scale.

## Honor Code:¶

The SMU Honor Code applies to all homework and exams in this
course. *Work submitted for evaluation must represent your own
individual effort. Any giving or receiving of aid without my express
consent on academic work submitted for evaluation shall constitute a
breach of the SMU Honor Code.*

Academic dishonesty is considered a serious offense, and is doubly inexcusable among graduate students. I take honor code violations very seriously, and will report all violations to the SMU Honor Council. The minimum penalty for a violation is a “0” on the assignment, and the maximum penalty is immediate failure of the course. These penalties are in addition to those imposed by the SMU Honor Council.

The line between helping each other learn, and copying from one
another is not always easy to discern. While I strongly encourage you
to learn with/from one another, you should **never** turn in anything
that you could not reproduce on your own. If I feel that you may have
gone too far, I reserve the right to ask you to repeat your work in my
office to see whether you did it yourself, or just copied answers from
a friend.

Examples of honor code violations include:

- Submitting a computer code which includes a program, or even part of a program, written by someone else (other than the instructor). This includes programs written by students from previous semesters, and programs downloaded from the internet.
- Submitting computer outputs (numerical results or plots) produced by someone else’s program.
- Submitting computer outputs with fabricated results.
- Copying theoretical work from another student.
- Supplying your own work for another student to copy.

See the SMU Honor Code website for more information.

## SMU Regulations:¶

*Disability Accommodations*: Students needing academic accommodations
for a disability must first register with Disability Accommodations &
Success Strategies (DASS). Students can call 214-768-1470 or visit
http://www.smu.edu/Provost/ALEC/DASS to begin the process. Once
registered, students should then schedule an appointment with the
professor as early in the semester as possible, present a DASS
Accommodation Letter, and make appropriate arrangements. Please note
that accommodations are not retroactive and require advance notice to
implement.

*Religious Observance*: Religiously observant students wishing to be
absent on holidays that require missing class should notify their
professors in writing at the beginning of the semester, and should
discuss with them, in advance, acceptable ways of making up any work
missed because of the absence. (See University Policy No. 1.9.)

*Excused Absences for University Extracurricular Activities*: Students
participating in an officially sanctioned, scheduled University
extracurricular activity should be given the opportunity to make up
class assignments or other graded assignments missed as a result of
their participation. It is the responsibility of the student to make
arrangements with the instructor prior to any missed scheduled
examination or other missed assignment for making up the work.
(University Undergraduate Catalogue)

*Campus Carry*: In accordance with Texas Senate Bill 11, also known
as the “campus carry” law, following consultation with entire
University community SMU determined to remain a weapons-free campus.
Specifically, SMU prohibits possession of weapons (either openly or
in a concealed manner) on campus. For more information, please see:
http://www.smu.edu/BusinessFinance/Police/Weapons_Policy.