Syllabus for M371-001

Spring Semester 2018

Instructor: John Hoover / LA 830 / x2921

Webpage:

Office Hours: 9:40 – 10:25 MondaythroughThursdayand by appointment.

Textbook: ElementaryNumerical Computing with Mathematica,RobertSkeel JerryKeiper,

Stipes Publishing,Champaign, Illinois, 2001.

Content: To include the following - Chapter # 1 - §§ 2 - 5

2 - §§1 - 5

3 - §§1-5

4 -§§2 - 4

5 - §§1 - 6

7 - §§ 1 - 4

Assessment: To be based primarily on homework assignments. These are to be submitted inthe

formof Mma (=Mathematica) notebooks (via email) with details aswe progress

(an initial problemlist appears below). I will use the following scaleto determine

final(please note signed)letter grades–

A-: 90 – 92 (3.7 GP) / A : 93 – (4.0 GP) / -
B-: 80 – 82 (2.7 GP) / B : 83 – 86 (3.0 GP) / B+ : 87 – 89 (3.3 GP)
C-: 66 – 69 (1.7 GP) / C : 70 – 75 (2.0 GP) / C+ : 76 – 79 (2.3 GP)
D-: 60 – 61 (0.7 GP) / D : 62 – 63 (1.0 GP) / D+ : 64 – 65 (1.3 GP)

Attendance: In sequentially structured classes like M 371, attendance is essential and a record

will be kept.Poor attendanceisquite likely to adversely affect your final grade.

Incompletes: An Incomplete is given only when a student has been in attendance for at least

three-fourths of the semester, but have - due tocircumstances beyond their

control - been prevented from completing all the requirements of the course.

An Incomplete must be made up within one calendar year or the grade will

revert to an F (this is all officially stated in the current catalog).

RegardingMathematica:

We will be using this software forin-class presentations and as neededfor

homework problems. Here are twoWolfram links thatyou may find helpful:

Cell Phones: All modes of electronic communication will be turned off during class.

Learning Objectives:

Students will acquire proficiency with…

  • machine numbers and related errors
  • numerical solution of scalar equations
  • interpolation of data using polynomials
  • solution of linear and nonlinear systems
  • numerical differentiation and integration
  • approximation of data using cubic splines
  • approximate solution of differential equations

Policy Notes & Advice –

  • Emails should be signed and please include M 371 in the subject heading.
  • Keep all graded papers, stay informed about assignmentsread the textbook.
  • Late work will be accepted if justified documented (e.g. medical emergencies).

References:

  • Elementary Numerical Analysis 2e, Conte and de Boor, McGraw-Hill, New York, 1972.
  • Elementary Numerical Analysis 2e, Kendall. Atkinson, J. Wiley & Sons, New York, 1993.
  • Real Computing Made Real, Acton Foreman, Princeton University Press, New Jersey, 1999.
  • Numerical Computing with IEEE Floating-Point Arithmetic, Michael Overton, SIAM, 2001.

Class Begins / January 17
Last Day for Registering/Adding Classes / January 26
Last Day for Withdrawing/Dropping Classes with a Partial Refund / February 7
Last Day to Drop Without Instructor Permission (No Refund) / March 15
Last Day to Drop w/ Approval of Advisor & Course Instructor / April 11
Last Day of Final Exams and Class Ends / May 3

Problems forM371, Spring 2018 (exercises are

Computer Problems unless otherwise indicated).

Chapter 1 1.2#’s 1 & 2

1.3 #’s 1

1.4 #’s 4 & 5

1.5 #’s 1 & 2 @ 14

Chapter 2 2.1 #’s 1

2.2 #’s 1

2.3 #’s 1 & 2

2.4 #’s 1, 3, & 5

2.5 #’s 1, 2, & 6 @ 20

Chapter 3 3.1 #’s 1 & 2

3.2 #’s 1 & 2

3.3 #’s 1 &2

3.4 #’s 1 & 4

3.5 #’s 1 @ 18

Chapter 4 4.2 #’s 1

4.3 #’s 1 & 2

4.4 #’s 2 & 3 @ 10

Chapter 5 5.1 #’s 1, 2, & 7

5.2 #’s 1

5.3 #’s 1

5.4 #’s 1

5.5 #’s 1

5.6 #’s 1, 2, & 3 @ 20

Chapter 7 7.1 #’s 1, 2, & 3

7.2 #’s 2, 3, & 4

7.3 #’s 1 & 2

7.4 #’s 1 & 2 @ 20