MAT 128C Syllabus Page (Spring, 2000)
Course: MAT 128C
CRN: 63320
Title: Numerical Analysis in Differential Equations
Class: MWF 12:10pm-1:00pm, Wellman 1
Instructor: Naoki Saito
Office: 675 Kerr
Email: saito@math.ucdavis.edu
Office Hours: MW 1:15pm-2:15pm or by appointment via email
Teaching Assistant: Thad Edens
Office: 473 Kerr
Email: tedens@math.ucdavis.edu
Office Hours: Tu: 1pm-2pm, Th: 3pm-4pm
Course Objective:
-
To learn numerical analysis algorithms for solving initial value and
two-point boundary value problems of ordinary differential equations (ODEs)
as well as some elementary partial differential equations (PDEs)
-
To learn how some of the ODEs and PDEs appear in practical applications
-
To gain an insight about the original problems from the numerical solutions
-
To learn how to solve ODEs and PDEs through Matlab-based projects
Text:
- R. L. Burden and J. D. Faires, "Numerical Analysis," 6th Edition,
Brooks/Cole Publishing Co., 1997; this is a required textbook.
- We will cover the following sections of this book:
Chap. 5 (5.1-5.11), Chap.11 (11.1-11.4), Chap.12 (12.1-12.3).
Prerequisite:
- All students enrolled in Math 128C must have passed 22A and 22B with
a grade of D or better.
- Some experience in programming languages, i.e., C, Fortran, or Matlab.
If you do not know Matlab, then you can learn easily as follows:
- Matlab primer can be downloaded from here in Postscript
format and PDF
format.
- Another Matlab primer is also available as a Postscript file and a PDF file.
- To view PDF format, you need acroread from Adobe Systems Inc.
Attendance:
- Regular attendance to the lectures is strongly advised.
- Neither eating nor disturbing the lectures/the other students is allowed.
- Two hour time (to be determined) of The Instructional Computing Laboratory located in 451 Kerr Hall will be allocated for our class so that you can work on Matlab-based
experiments and projects.
The assigned times are: MW 3pm-4pm.
You can come to the lab during these two hours without any schedule conflict with the other class. If you cannot come on 3pm-4pm on MW, don't worry.
You can come to the lab at any time between 9am to 5pm on MTWThF as long as there's no conflict with the other classes.
Please check computing lab page for the schedule of other classes.
- Visit my "How to Use Matlab in Instructional Computing Lab" page to see what you have
to do. Note that you have to activate your account before you come to the lab
for the first time.
Class Web Page:
Grading Scheme:
- 15% Homework
- 30% Computer-based Projects
- 20% Midterm
- 35% Final Exam
- Overall grade will be based on the distribution of the weighted
sum of these scores.
Midterm Exams:
Tentatively, Midterm exam is scheduled on Monday, May 8th in class
(12:10pm-1:00pm).
Final Exam:
The final exam will be held on Saturday, June 10 from 1:30pm to 3:30pm
at the same room 1 Wellman.
Exam Policy:
There will be NO MAKE-UP EXAMS for Midterm and Final. If you miss
exams due to unavoidable circumstances such as serious illness of yourself
or death in your family, you must provide me with a written proof and document.
Then I will adjust the weights to the exams you actually took to make the
sum of the weights 100%.
Homework:
I will assign homework every Monday. Its due date is the following
Monday. I will collect the homework at the beginning of the
Monday lecture. LATE HOMEWORK WILL NOT BE ACCEPTED. A subset of these
problems will be graded. The graded homework will be returned to the homework
boxes located in the basement of Wellman Hall about a week.
Click
here to go to homework page.
Computer projects:
I will assign four computer projects using Matlab.
via web. You have about two weeks to complete each assignment. The deadline
of the assignment is written in each assignment.
I will collect the report of the assignment at the beginning of my lecture
of the deadline.
Everyone will get an account on the computers of the Math Department
so that one can work on projects using Matlab. You can work either at the
Instructional Computing Lab (451 Kerr) or from any other lab or even from your home PC by remotely connecting to the departmental servers [line,plane].ucdavis.edu. Also, if you have a student version of Matlab on your home PC, or
if you can access some other servers in the other departments, that is fine
too.
Click
here to go to computer project page.
Please email me if you
have any comments or questions!
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