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                            | Presenters: |  
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 | Dr. Thomas Doyle P.Eng. Professor, Electrical and Computer Engineering, McMaster University
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                            |  | Dr. Tom Lee Vice President Applications Engineering and Chief Evangelist, Maplesoft
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                            | Moderator: |  
                            |  | Robert F. Black Deputy Executive Director, American Society for Engineering Education (ASEE)
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 | The freshman design course, or “cornerstone” course, is a critical component of the curriculum at most institutions. The modern incarnation of this course integrates general design and analysis concepts and the application of computing tools such as CAD. In a general sense, it is intended to answer the question “What do engineers actually do?” for a young student. 
 This webinar presents a detailed case study of the recent McMaster University initiative to enrich its cornerstone course. The key new element is the introduction of a dynamic modeling software package to allow students to analyze and explore the system dynamics, and ultimately the design options, for a real system. Prior to this, the course focused on development of the CAD model, and then essentially guessing at possible modifications to the design to achieve a desired design goal. This new approach introduces a true design iteration step. From the CAD model, students can quickly develop a corresponding dynamic model and systematically assess system performance for changes in parameter values.
 McMaster deployed a software combination of Autodesk® Inventor™ and MapleSim™ for the modeling and simulation workflow. The contents of this seminar include: 
                          Motivation and the core pedagogy framing the initiativeFundamental elements of the new courseTechnical challenges in introducing advanced modeling and simulation tools into the freshman curriculumProgress thus far and future challengesDiscussion and Q &A Register for this webinar here. 
                          
                            | ASEE Free Teacher Resources
  Brought to you by the American Society for Engineering Education (ASEE)  |  
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              |  |  | The Automation,  Robotics and Mechatronics (ARM) Lab is  a research laboratory in the Department  of Mechanical & Aerospace Engineering at the School of Engineering & Applied Sciences in The State University of New York (SUNY) at Buffalo.   The lab combines an in-depth understanding of mathematical theory with   experimental  validation to develop a new generation of smart mechanical   and mechatronic  systems. 
 Their work includes projects in haptic   devices for surgical  simulations, musculoskeletal simulation to refine   human-machine interactions,  cooperative payload transport by robot   collectives, and omnidirectional wheeled  robots. Several of their   research projects have directly resulted in the  creation of   commercially available devices that are then used by labs around  the   world for education and further research.
 
 One  of the ARM lab’s research projects involved the study of   kinematic and dynamic  simulations of 6 degree of freedom   6-Prismatic-Universal-Spherical (6-P-U-S) type  manipulators. This type   of manipulator combines a platform that moves and a  fixed base,   interconnected by several legs. In his research, Dr. Krovi and his    research team analyzed a general 6 DOF 6-P-U-S manipulator. They used   Maple and  MapleSim to automatically generate the governing equations,   and conducted a  kinematic analysis of those equations with Maple.
 Read the rest of this user story here. 
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                            | DirectSearch optimization package, version 2 Author: Dr. Sergey Moiseev
 
 The DirectSearch package is a collection of commands to numerically compute local and global minimums (maximums) of nonlinear multivariate function with (without) constraints
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                            | A new algorithm for computing the multivariate Faà di Bruno’s formula Author: Dr. Giuseppe Guarino
 Prof. Domenico Senato
 Dr. Elvira Di Nardo
 
 We provide a new algorithm for computing the multivariate Faà di Bruno's formula. We follow a symbolic approach based on the classical umbral calculus that leads back the computation of the multivariate Faà di Bruno's formula to a suitable multinomial expansion. The resulting computational times are faster compared with procedures existing in the literature.
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                                      | Classroom Tips and Techniques: Gems from the Little Red Book of Maple Magic
 Author: Dr. Robert Lopez
 
 Five bits of "Maple magic" accumulated in recent months are shared: converting the half-angle trig formulas to radicals, tickmarks along a parametric curve, writing unevaluated math on a graph, changing Maple's differentiation formulas, and drawing a decent surface for a function containing a square root.
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                                | See the Maplesoft website for more Tips & Techniques. |  |  |  |  
  
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                      | New Versions of Maplesoft's Testing and Assessment Tools Provide Greater Insight into Student Performance TMCnet, January 6, 2011
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                      | Extract: "The new analysis capabilities in Maple T.A. 7 include tools that let instructors view all responses to a single question at once to look for patterns, track progress towards the final grade based on an instructor-defined grading scheme, and incorporate and analyze results from external assignments. Maple T.A. 7 also introduces new palettes that make it easy for students to enter integrals, derivatives, and matrices in natural mathematical notation, which allows instructors to offer a wide variety of questions even to students who are not comfortable with commands and syntax."
 
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                  |  | Cleveland Golf turns to MapleSim Scientific Computing World, December 6, 2010
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                  |  | Extract: "Engineers from Cleveland Golf have selected MapleSim, a physical modelling and simulation tool from Maplesoft, to help them increase the performance of their drivers. In particular, they were looking for an efficient model which would allow them to explore the effects of different shaft designs on club performance."
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