Spring 2008

Math 282
Class Web Page



 

Russell, Bertrand (1872-1970)
Calculus required continuity, and continuity was supposed to require the infinitely little; but nobody could discover what the infinitely little might be.

Bernoulli, Johann
But just as much as it is easy to find the differential of a given quantity, so it is difficult to find the integral of a given differential. Moreover, sometimes we cannot say with certainty whether the integral of a given quantity can be found or not.


                                       

 Quadrature

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Welcome to the Math 282 web page.   Please take a few minutes to click on each of the links below. They will provide you with important and useful information about this course.

Numerical analysis is a tool used by scientists and engineers everywhere to solve difficult problems which have no obvious closed form mathematical solution. Here we will learn several techniques for solving such problems. Both the strong and weak points of the various techniques will be examined.

Good luck and enjoy the class!

 

 

Course Information:

            

Evaluation:

            

 


Introduction

This course reinforces the theory and development of numerical algorithms for scientific computation with emphasis on speed, accuracy, and algorithm design strategy. Applications to the solution of problems in science and engineering are discussed, and assignments are organized to reinforce the discussions. Testing is required to investigate the reliability and efficiency of implemented designs. Experience is gained in the process by utilizing this testing feedback to improve the design strategy.

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Course Description

Second semester of Numerical Analysis. Last 5 weeks will cover numerical solutions to ODE.

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Text

Richard L. Burden and J. Douglas Faires Numerical Analysis 8th Edition Pub. Thomson Brooks/Cole 2005

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Topics: (For last 5 weeks of semester)

Chapter 5 -- Initial-Value Problems for Ordinary Differential Equations

 

Projects:

One or two major assignments/take home exams will be given. Some may involve programming assignments. Algorithm comparison may be required between student programs and other algorithms determined by the instructor.

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Course Schedule and Instructor Information

Course
Section
Time
Days
Room
Instructor
Math 282 001 4:00-5:15 PM Mon - Wed MSB 415 John Roulier

Office Hours:  Monday 1:00-2:00 and Wednesday 2:00-3:00 in ITEB 359

Final Exam Week Office Hours: Monday 2:00-4:00 and Wednesday 3:00-5:00

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Student Information

Academic Integrity

A fundamental tenet of all educational institutions is academic honesty; academic work depends upon respect for and acknowledgement of the research and ideas of others. Misrepresenting someone else's work as one's own is a serious offense in any academic setting and it will not be condoned.

Academic misconduct includes, but is not limited to, providing or receiving assistance in a manner not authorized by the instructor in the creation of work to be submitted for academic evaluation (e.g. papers, projects, and examinations); any attempt to influence improperly (e.g. bribery, threats)any member of the faculty, staff, or administration of the University in any matter pertaining to academics or research; presenting, as one's own,the ideas or words of another for academic evaluation; doing unauthorized academic work for which another person will receive credit or be evaluated; and presenting the same or substantially the same papers or projects in two or more courses without the explicit permission of the instructors involved.

A student who knowingly assists another student in committing an act of academic misconduct shall be equally accountable for the violation, and shall be subject to the sanctions and other remedies described in The Student Code.

Support Services

The Dean of Students Office provides student support services in a number of areas. The following websites and phone numbers can be used to access these services:

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Grading

In this section your grade will be based on the exams and projects. The weighting will be discussed further in class.

 

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Exams and Projects
No make-ups on exams will be granted unless a case of an emergency occurs.

Test 2 -- Numerical solution to ODE -- Runge-Kutta Methods -- Due on April 21, 2008

Example for Problem 8 Debugging

Final Exam -- Due on May 7, 2008 at 6:00PM Note that problems 6 and 7 will be discussed in class. Note a typo in problem 2 has been fixed, and problem #4 has been modified as of Monday April 28!

If you need exam accomodations based on a documented disability, you need to speak with both the Center for Students with Disabilities and the course instructor within the first two weeks of the semester.

Final Exam

The Final Exam is scheduled on May 7 from 6:00PM- 8:00PM. This exam will cover all the material discussed throughout the semester.

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Final Exam Schedule

Subject
Class
Section
Date
Day
Time
Location
 Math  282  001  May 7  Wednesday  6:00PM-8:00PM

 MSB 415

 

Final Exam Week Office Hours: Monday 2:00-4:00 and Wednesday 3:00-5:00

Emergency closing information

Fior more detailed information go to: http://www.registrar.uconn.edu/examinfo.html