MTH 333/533    Fall 2004

 

Teacher:                    Thomas P. Svobodny

                                 241 MM  775-2379

 

Office Hours:               1600 Š 1800 MW

                                  You don't need an appointment to see me during                                   office hours; but it is safer to make an appointment if you want to see me at other times.

   

Math Dept Office:       120MM 775 2785

 

Text:                           Mathematical Modeling, by Svobodny

 

Webpage:  http://www.math.wright.edu/MS/AppliedMath/PDE.html

 

Evaluation:                  Midterm Exam                                 40%

                                      Final Exam                                     40%

                                    Homework                                      20%

                 

Course Content:      An introduction to Partial Differential Equations (PDEs) from a modeling point of view. Thus, the equations will be

motivated by physical examples, and there won't be much in the way of abstract examples.

 

To do well in this course:      Don't read the book without a pencil and paper on hand.  Do all of the problems on the homework (without using the book).  Do more problems than are on the homework.  Find sources of extra problems. Ask questions in class. Make a list of questions before coming to class. If your questions are not answered in class, come to my office hours. Don't hesitate to approach me about something you do not understand. If you did very well in your  calculus courses, you should expect to spend about 10 hours a week doing problems outside of class; if you did not do so well, you will need to spend much more time doing problems.

 

Some extra references:

1.     ShaumÕs outline of Differential Equations by R. Bronson

2.      Schaum's outline of theory and problems of PDEs by Duchateau/Zachmann.

3.     Ordinary Differential Equations by Arnold

4.     Topics in Ordinary Differential Equations by Lakin/Sanchez

5.     Intro to PDEs with applications by Zachmanoglou/Thoe

6.     Mathematics Applied to Deterministic Problems by Lin/Segal

7.     Partial Differential Equations by Carrier/Pearson

8.     Theory of Partial Differential Equations by Lieberstein