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About Us

The Community of Ordinary Differential Equations Educators (CODEE) exists for one purpose: to improve the teaching and learning of ordinary differential equations, primarily by encouraging broader use of modeling projects and computer experiments. This goal of this digital library is to create a community for instructors to find, share, and discuss resources for teaching ordinary differential equations (ODEs).

For information on how to submit content into this digital library, please see our Editorial Policy.

 

History of CODEE

From 1992–1997, CODEE ("Consortium of ODE Experiments" was our former name), with generous support from the National Science Foundation, published a newsletter that provided a regular source of ideas, inspiration, and experiments for instructors of ODEs. The goal of CODEE was to share the rapidly growing wealth of computational instruction techniques with as many teachers and students of differential equations as possible. Because computers are vital tools in helping students understand and visualize concepts in differential equations, CODEE also produced a software solver package called ODE Architect.

In addition to the staff and students who contributed to the project, the following individuals were involved in this project during its first phase.

 

In August 2007, the NSF/DUE funded Phase II of this project for four years. The grant involves the creation of this digital library of learning materials, the completion of a robust, flexible platform-independent numerical solver that is designed to aid the teaching and learning of ODEs, and to help train faculty in the effective use of modeling projects and computer experiments through mini-courses at math meetings. During this phase of the project, the CODEE acronym changed to "Community of Ordinary Differential Equations Experiments" to reflect its evolution. The following people are involved in this phase of the project.

  • Joanne Bieri (University of Redlands)
  • Jack Bookman (Duke University)
  • Robert Borrelli (Harvey Mudd College, co-PI)
  • Todd CadwalladerOlsker (California State University, Fullerton)
  • Anne Catlla (Wofford College)
  • Courtney Coleman (Harvey Mudd College)
  • Kevin Cooper (Washington State University)
  • Daniel Flath (Macalester College)
  • Daniel Goroff
  • Michael Huber (Muhlenberg College)
  • Richard Jardine (Keene State College)
  • Michael Kallaher (Washington State University)
  • Karen Keene (North Carolina State University)
  • Tom LoFaro (Gustavus Adolphus College)
  • Stephen Lucas (James Madinson University)
  • Michael Martin (Johnson County Community College)
  • Michael Moody (Olin College)
  • Lang Moore (Duke University)
  • Douglas Quinney (Keele University)
  • Ami Radunskaya (Pomona College)
  • Chris Rassmussen (San Diego State University)
  • K. Ann Renninger (Swarthmore College)
  • Kathleen Snook
  • Darryl Yong (Harvey Mudd College, PI)

 

Acknowledgments

This project is generously supported by the Division of Undergraduate Education of the National Science Foundation through DUE-0717490. It was supported in the 1990s through DUE-9154300, DUE-9353946 and DUE-9450742. This project is also supported by the Harvey Mudd College Department of Mathematics.

The web site was developed by Bob Edmonston of Inzan Enterprises LLC using the open-source Plone Content Management System.

The participants on this project also acknowledge Jezmynne Dene, Pat Vince, Sam Kome, Claire Connelly and Suzanne Frantz for their assistance and advice on this project.

Friends of CODEE are individuals who help with the design of this project by testing new features. To be a Friend of CODEE, please send an email to codee@hmc.edu. 

 

Privacy Policy

CODEE strongly respects and recognizes the importance of Internet privacy. Users are encouraged to read this Privacy Policy to understand and control how their personal information may be collected and used.

Most of the contents in this digital library may be accessed without registering for an account on this site. Registration of an account on this site allows users to participate in discussion forums, to mark resources as favorites, to access content restricted to instructors only (upon verification of instructor status), to comment on materials, and to submit materials for publication in the digital library. None of the personal information that is provided in the process of creating an account will be shared with other organizations without your expressed consent. However, aggregate information about number of users and locality may be collected for promotion or evaluation.

Cookies are small parcels of text sent by a web server to a user's web client. These parcels of text are typically stored on a user's computer while accessing a web site and can persist on a user's computer for a specified duration of time. This digital library uses cookies for a variety of purposes to enhance the experience of users on this site. If you choose to block cookies from this server, some functionality of the site may be lost. 

This web site uses Google Analytics to evaluate and study usage patterns to better serve the needs of our users. The following types of anonymous data are collected internally and by Google Analytics:

  1. Internet address of computer or device accessing this web site
  2. Type of browser or other client application used
  3. Display settings (such as screen resolution)
  4. The operating system of the computer or device
  5. Web pages requested
  6. Referring web pages
  7. Times, dates and durations of visits on this site

None of this information will be linked to your personal information. None of this information will be used for commercial purposes.

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