Announcing SCUDEM VIII 2023 Challenge Period
20 October–13 November 2023
Download and post our flyer (PDF, 362KB) to share news of SCUDEM 2023.
General Information about SCUDEM
SCUDEM — SIMIODE Challenge Using Differential Equations Modeling is a 3-student group modeling challenge that runs over multiple days culminating in a 10 minute video which is reviewed by at least 3 judges. Teams and Coaches may meet remotely. Team submissions will be judged Outstanding, Meritorious, or Successful.
Teams choose one of the Challenge Problems provided in the areas of
- chemistry/life sciences,
- social sciences/humanities,
and develop a model using differential or difference equations and a presentation.
Read the Complete Rules for details of the challenge.
See problem statements and results for past events in our wiki. SIMIODE's YouTube channel features presentations of past Outstanding Award recipients.
Consider volunteering as a Coach for SCUDEM VIII 2023. Plan to start working with your team before SCUDEM begins in order to help prepare these energetic students for the modeling experience.
SCUDEM needs judges. Consider volunteering as a Judge for SCUDEM VIII 2023. Hundreds of colleagues from academe, business, government, and non-profit sectors have volunteered their time and enjoyed giving feedback to young modelers on their work in SCUDEM
Watch the Collegial Conversation webinar from 27 September 2021, conducted by Brian Winkel (Director SIMIODE) and Anthony Stefan (Florida Institute of Technology) for practical advice for Coaches and Student Challengers. The slides of the presentation include helpful links to details and guiding materials.
The Outstanding Team from SCUDEM V 2020, Miles Pophal, Chenming Zhen, and Henry Bae, from Florida Institute of Technology, Melbourne FL USA has published their model as a paper, Using Differential Equations to Model a Cockatoo on a Spinning Wheel as part of the SCUDEM V Modeling Challenge, in the Rose-Hulman Undergraduate Mathematics Journal, Volume 23, Number 1. The team was coached by Anthony Stefan, graduate student at Florida Institute of Technology.
SCUDEM is administered by SIMIODE, a non-profit Community of Practice focused on a modeling first approach to teaching differential equations.
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Phil Brubaker @ on
Greetings! I attended Oregon State U. and majored 3 years in Electrical Engineering. Then I switched to a Math major for my final years and graduated with a B.S. in Math (1967). Developed several Apps for Engineers & Scientists.
Developed six specialized software applications for the engineering community (visit my website http://goal-driven.net for more):
• CurvFit™ application solves fitting data to an math expression; recommend the Lorentzian series for real world data problems. Sine & Damped Sine series are also available.
• FC-Compiler™ application is a (free) Calculus (level) Compiler that simplifies Tweaking parameters in ones math model. FC solves Algebraic through Ordinary Differential Equations; Laplace transforms; etc. FC is based on Automatic Differentiation that simplifies computer code to an absolute minimum; i.e., a mathematical model, constraints, and the objective (function) definition.
• Match-n-Freq™ solves pole/zero locations for a matched filter that is known for pulse slimming or shaping characteristics. Program determines optimal transfer function, H(s).; and,
• SpectrumSolvers™ provides 13 spectral estimation algorithms for comparing Power Spectral Density (PSD) results. Algorithms include Akaike, Burg, Durbin, Maximum Likelihood Method, Mayne-Firoozan, Prony, Yule-Walker, and et al.
Our Compiler improves Math Modeling, Simulation & Optimization efforts for Engineers & Scientists by improving their productivity by 20 times! Solving differential equation math problems with today’s compilers often take more than 1 man year but our compiler can do it in hours with improved accuracy in the results. Our compiler also allows one to tweak their parameters for an optimal solution.
Solutions are Faster, Improved Accuracy, & Cheaper.
Try our math compiler and learn to switch thinking from a Math modeling & Simulation to an Optimization thinker. Enjoy :)