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MATH 3600-101 (3829), Spring 2017

Applied Numerical Methods

Catalog Description:

A survey of numerical methods for engineering, science and mathematics students. Topics include: solutions of systems of linear and nonlinear equations, eigenvalues, numerical differentiation and integration, and numerical solution of ordinary and partial differential equations. The topics will be posed in a setting of problems intended for engineering students using MATLAB. The course will simultaneously introduce numerical methods, programming techniques, problem solving skills and the Matlab language, in a lecture-lab format.

Desired Learning Outcomes:

• The ability to use MATLAB as a programming tool to solve common engineering and scientific problems.
• Understand and know how to apply common numerical methods for solving equations and linear systems, integration and differential equations.
• The ability to define and understand the practical consequences of issues such as convergence, stability, computational cost, and error propagation as they apply to various numerical problems.

Prerequisites:

MATH 3400 Elementary Differential Equations.

Instructor:

Martin J. Mohlenkamp, mohlenka@ohio.edu, (740)593-1259, 315-B Morton Hall.
Office hours: Monday, Wednesday, and Friday 9:40-10:35am, or by appointment.

Web page:

http://www.ohiouniversityfaculty.com/mohlenka/20172/3600.

Class hours/ location:

Monday, Wednesday, Friday 10:45-11:40am in 314 Morton Hall. (Note that the registrar incorrectly shows the class ending at 11:50am.)

Printing

There is no printer in our room but there is a printer in the second floor vending area of Morton Hall that is part of the mobile print system.

Text:

Introduction to Numerical Methods and Matlab Programming for Engineers, Todd Young and Martin Mohlenkamp. Available at http://www.math.ohiou.edu/courses/math3600.

Homework:

Each lecture in the text has a few homework problems. Do the homework in a group of 2 or 3 and submit a single solution for your group.

Good Problems:

About once a week, one homework problem is designated a Good Problem. These problems will be graded both on content and on presentation. The idea is to practice writing mathematics regularly but in small pieces.

Tests:

There will be four tests, in class, without the aid of the computer (or calculator, notes, etc.). The tests are cumulative.

Final Exam:

The final exam is on Monday, April 24, 10:10am-12:10pm. The exam is cumulative.

Attendance:

This is a "lab" class, so your attendance, participation, and collaboration are essential. You are allowed 5 absences (out of 41 classes) without penalty; these include university excused absences for illness, death in the immediate family, religious observance, jury duty, or involvement in University-sponsored activities. Each additional absence will reduce your final average by 0.5%. Your attendance record will be available in Blackboard.

Grade:

Your grade is based on homework 40%, each test 10%, and the final exam 20%. An average of 90% guarantees you at least an A-, 80% a B-, 70% a C-, and 60% a D-.

Late Work:

Homework for each lecture is due at the end of the next class period (skipping test days). Late homework is penalized 10% for each class day (or part thereof) late. You can resubmit a homework to improve your score, but the late penalty will apply.

Academic Misconduct:

Tests, final exam:

You may not give or receive any assistance during a test or the exam, including but not limited to using notes, phones, calculators, computers, or another student's solutions.

Homework:

• If your group receives any help on the homework, you must acknowledge in writing what help you received and from whom or what source (including internet links). (You do not need to acknowledge me or the textbook.)
• It is permitted to have a student who has already taken this course explain a homework problem to you; however, it is not permitted to look at their written work or programs.
• It is permitted to search the internet for help on homework problems. It is not permitted to look at (or contribute to) any postings of solutions to the specific homework problems for this class. (If you find posted solutions, please send me the link.)

A minor, first-time violation of this policy will receive a warning and discussion and clarification of the rules. Serious or second violations will result in a grade penalty on the assignment. Very serious or repeated violations will result in failure in the class and be reported to the Office of Community Standards and Student Responsibility, which may impose additional sanctions. You may appeal any sanctions through the grade appeal process.

Special Needs:

If you have specific physical, psychiatric, or learning disabilities and require accommodations, please let me know as soon as possible so that your learning needs may be appropriately met. You should also register with Student Accessibility Services to obtain written documentation and to learn about the resources they have available.

Responsible Employee Reporting Obligation:

If I learn of any instances of sexual harassment, sexual violence, and/or other forms of prohibited discrimination, I am required to report them. If you wish to share such information in confidence, then use one of the confidential resources listed by the Office of Equity and Civil Rights Compliance.

Learning Resources:

• Your classmates are your best resource. Use them!
• Tutoring Services' Math and Science Center has free and low-cost tutoring.
• Linear Algebra free online text.
• Notes on Diffy Qs: Differential Equations for Engineers free online text.
• Octave is an open-source alternative to Matlab, with the same syntax but less functionality. You can do simple Octave computations by setting the language to octave in the sage cell:

Schedule

Last modified: Fri Mar 31 17:51:05 UTC 2017