Math 151A -- Applied Numerical Methods

Meets:      MWF 2:00-2:50pm, MS 6229

                T 2:00-2:50pm (discussion), MS 6229

Instructor: Jason DeVita

Email: jason@math.ucla.edu

Office: 7619E MS

Office Hours: M 3:00 - 4:00; R 2:00-3:00

Course Homepage: http://www.math.ucla.edu/~jason/151a.2.06f/

Course Syllabus: http://www.math.ucla.edu/~jason/151a.2.06f/syllabus.html


TA: Adam King

Email: aking@math.ucla.edu

Textbook: Numerical Analysis, Burden & Faires, 8th Ed.

Grading:
                   25% Homework
                   30% Midterm
                   45% Final

Homework: Homework will be assigned approximately once per week, and will be due precisely one week later.  Tenatively, homework will be assigned/due on Wednesdays.  Late Homework will not be accepted.  The lowest homework assignment will be dropped, however.

Homework assignment #1 is here. solutions
Homework assignment #2 is here. solutions
Homework assignment #3 is here. solutions
Homework assignment #4 is here. solutions
Homework assignment #5 is here. solutions
Homework assignment #6 is here. solutions
Homework assignment #7 is here. (practice hw, not to be turned in) solutions


Midterm:  Friday, November 3.  No make-up exams.
Midterm solutions.
Final: Friday, December 15, 8:00-11:00am.  The final exam is mandatory!

About the course:
  This is an introductory course in numerical methods with emphasis on algorithms, analysis of algorithms, and computer implementation issues.  Here is a rough outline of the topics covered:

       weeks 1-2:  Solutions of equations in one variable. (Sections 2.1, 2.3, 2.4)
       week 3:  Computer arithmetic, errors and accuracy. (1.2)
       weeks 4-5.5:  Polynomial interpolation & midterm. (3.1, 3.2)
       weeks 7-8:  Numerical differentiation and integration. (4.1-4.4, 4.7)
       weeks 9-10: Direct methods for solving linear systems. (6.1, 6.2, 6.5, 6.6)
More details.

Computing: You are expected to know how to program a computer.  This course we will not cover programming concepts.  Each of you has been given an account for the PIC lab.  Please visit http://www.pic.ucla.edu/piclab to read about the PIC lab.