Tags: Modeling & Simulation

Resources (1-11 of 11)

  1. Framework for Evaluating Simulations: Analysis of Student Developed Interactive Computer Tool

    25 Jun 2015 | | Contributor(s):: Kelsey Joy Rodgers, Heidi A Diefes-Dux, Yi Kong, Krishna Madhavan

    This is the presentation for a paper presented at the 2015 annual American Society of Engineering Education (ASEE) conference. The paper discusses a developed framework for evaluating and scaffolding student-developed simulations in an open-ended learning environment.  The full paper...

  2. Mathematical Models and Simulations Workshop Presentation

    10 Mar 2015 | | Contributor(s):: Kelsey Joy Rodgers, Heidi A Diefes-Dux, Krishna Madhavan, Yi Kong

    Developing engineers for a changing world presents a greater need for students to understand simulations. Understanding mathematical models and simulations are skills that all engineers need for industry and research, but many engineering students lack a conceptual understanding of how to...

  3. Framework for Evaluating Simulations: Analysis of Student Developed Interactive Computer Tools

    21 Jul 2014 | | Contributor(s):: Kelsey Joy Rodgers, Heidi A Diefes-Dux, Krishna Madhavan

    Computer simulations are discussed in the learning environment from two major perspectives: 1) teaching students how to build simulations and 2) developing simulations to teach students targeted concepts. This study is approaching learning with simulations from a different perspective. We are...

  4. NCN Education Team: Student Research

    09 Apr 2014 | | Contributor(s):: Kelsey Joy Rodgers, Oguz Hanoglu, Yi Kong

  5. Using nanoHUB to Introduce Elementary and Middle School Students to Models and Simulations

    25 Mar 2014 | | Contributor(s):: Tanya Faltens

    This is a combination hands-on and simulation activity that will teach middle school students about the function and importance of modeling and simulations in science and engineering while learning about three important carbon nanostructures: graphene, bucky balls, and carbon nanotubes. The...

  6. [Illinois] MCB 493 Neural Systems Modeling

    29 Oct 2013 | | Contributor(s):: Thomas J. Anastasio

    The purpose of this independent study is to give students hands-on experience in using computers to model neural systems. A neural system is a system of interconnected neural elements, or units. Students will use existing computer programs which will simulate real neural systems. They will...

  7. [Illinois] Genetic Engineering for Nisin Diffusion and Tool Walkthrough

    30 Jul 2013 | | Contributor(s):: Asha Kirchhoff

    In this video Illinois Bioengineering student Asha Kirchhoff discusses the fundamentals behind the Biomedical Engineering Society's Nisin Diffusion experiment and setup for Engineering Open House. She also provides a walkthrough for the Nisin Diffusion tool hosted here at Nanohub.org.

  8. Quantum Dot Quantum Computation Simulator

    04 Aug 2012 | | Contributor(s):: Brian Sutton

    Performs simulations of quantum dot quantum computation using a model Hamiltonian with an on-site magnetic field and modulated inter-dot exchange interaction.

  9. A methodology for SPICE-compatible modeling of nanoMOSFETs

    17 Nov 2010 | | Contributor(s):: Alba Graciela Avila, David Espejo

    An original SPICE-compatible model for Intel's 45nm High-K MOSFET is presented. It takes into account some Quantum-Mechanical Effects that occur at small scale like Channel Length Modulation (CLM), Threshold Voltage variation and Velocity saturation, and is the first in his class that is not...

  10. Solar Cells Operation and Modeling

    15 Jul 2010 | | Contributor(s):: Dragica Vasileska, Gerhard Klimeck

    This set of slides decribes the basic principles of operation of various generations on solar cells with emphasis to single crystalline solar cells. Next, semiconductor equations that describe the operation of a solar cell under simplified conditions is given. Finally, modeling of single...

  11. Exercise for MOSFET Lab: Device Scaling

    23 Jun 2010 | | Contributor(s):: Dragica Vasileska, Gerhard Klimeck

    This exercise explores device scaling and how well devices are designed.