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Knowledge in Motion™ Education Program


Encourage Students to Explore the Practical World of Mathematic, Statistics and Data Analysis

Visual Numerics' Knowledge in Motion education program gives instructors unmatched flexibility to teach students advanced mathematical, statistical, and data analysis techniques.

  • It provides students with ability to build powerful analytic applications and improve their understanding of mathematical and statistical concepts through the use of the IMSL Numerical Libraries on a wide variety of computing platforms and in native Java, C#/.NET, and C/C++ development languages.
  • With PV-WAVE students can visually analyze data with a variety of techniques to fully understand the significance of the results.

"As a professor of finance, I need the ability to integrate old Fortran libraries into Visual Basic for Applications (VBA) or Visual Basic.NET quickly and accurately without writing separate wrapper programs for compatibility. The IMSL C# Numerical Library is the only program that allows me to do this. I proudly became a member of Visual Numerics' Knowledge in Motion Program because the company gives the academic world access to some of the most advanced and reputable mathematical and statistical routines available."

- Gary Richardson, Professor, Central Washington University

Professors of accredited universities or colleges who plan to use the IMSL Libraries or PV-WAVE development environment as part of a course offering can apply to the Knowledge in Motion Program. Members receive exclusive benefits, including:

  • Free personal use license for course development
  • Product documentation
  • Product support
  • Discount on purchases of other Visual Numerics products for personal use
  • Free registration for Visual Numerics product Web seminars
  • Dedicated point of contact

Apply today to become a member of the Knowledge in Motion Program >>

"I develop my own class library of probability functions, statistical algorithms, and chart types to teach statistical concepts. By using Visual Numerics' JMSL Library instead, I know that I'm using well-tested and documented algorithms and I won't have to spend as much time writing code. More importantly, I'll be able to focus my efforts on teaching statistical concepts instead of developing an infrastructure of class libraries."

- Gary McClelland, Professor of Marketing and Psychology and Statistics Teacher, University of Colorado


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