General Information
Time and Place: Tuesday, 7th period (1:55PM-2:45PM),
TUR L005 and Thursday, 7th and 8th periods (1:55PM-2:45PM and
3:00PM-3:50PM), TUR L005.
Textbook: Scientific
Computing:
An Introductory Survey, Michael T. Heath, (2nd edition),
McGraw Hill, 2002.
Office hours:
- Anand
Rangarajan:
Tuesday, 8th and 9th period (3-5PM),
Thursday, 9th period (4-5PM), CSE E352 (and by appointment).
Phone: (352) 505 1583. Email: anand AT cise DOT ufl DOT edu
- Teaching Assistant: TBA
Syllabus
All readings are from Scientific
Computing:
An Introductory Survey, Michael T. Heath, (2nd edition),
McGraw Hill, 2002 except as noted below.
We will cover Chapters 1, 2, 3, 6, 7, 12. Not all material
in each chapter will be covered. We will be using Matlab
extensively throughout the semester. Matlab is
available on most CISE machines. We will also cover Chapter
1 from An
Introduction to Numerical Methods and Analysis, James F.
Epperson, (Revised Edition), Wiley-Interscience, 2007.
(You do not need to purchase this book just for the sake of
obtaining one chapter.)
Homeworks, Project and Exams
There will be approximately 10-12 homeworks, a project, a
midterm and a final take home assignment. The take home
assignment at the end of the semester will only cover the
material after the first mid term. The grading percentages
are homeworks (30%), project (20%), midterm (30%) and take
home assignment (20%). The midterm will most likely be held
on Thursday, March 26th with the take home assignment due on
Wednesday, April 22nd.
Homeworks will be assigned and due on Thursdays in class
unless otherwise noted. If you are unable to turn in the
homework by the end of class Thursday, you can turn in the
homework late with a 30% penalty before 5pm, Friday. (Please
indicate this by writing "LATE" at the top of your
homework.) We will award no credit for homeworks received
after 5pm Friday.
The project is due at the end of the semester. We will not
accept any project submitted after midnight, Thursday, April
30th. The project is based on linear regression, with
algorithms executed on standard and homegrown datasets.
Students with Disabilities
Students requesting classroom accommodation must first
register with the Dean of Students Office. The Dean of
Students Office will provide documentation to the student
who must then provide this documentation to the Instructor
when requesting accommodation.