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        | ACADEMIC EDITION | August 2012 | Issue 8 |  
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            | Maple Helps Teach Calculus to 11-Year Old Students
 
 For years, educators have been debating that use of technology in the   classroom could radically change not just how we teach our children, but what we   teach them, and when. The University of Tasmania in Australia set out to prove   it. Because of their commitment to embracing the Digital Education Revolution,   and to showcasing how big a transformation the use of computers can make in   students’ learning, the University decided to take on the challenge of teaching   integral calculus to 11-year-olds. While this age group is traditionally   considered far too young for this topic, which is usually introduced at age 17   at the very earliest, the University wanted to see if computer software would   make a difference in their learning. If students become comfortable with this   complex topic at a young age, perhaps learning could become easier and more of   them will gravitate to the scientific and technical fields as they get   older. The researchers used Maple as the software of choice for this project. They   used Maple to teach fifth graders the Calculus curriculum used in the first year   engineering program in Australian universities. The project team trained five   classroom teachers who then worked with their students for two hours a week for   six weeks. During this time, the students were introduced to a series of   real-world problems and mathematical concepts, and learned how to solve these   problems in Maple. Students used Maple to set up the solutions to word problems,   calculate results, and graph functions.               For more information, click here to read the full user case study. 
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                | Maplesoft Events  
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                | 9th International Modelica Conference 2012 September 3-5
 Munich, Germany
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                | MSO-Tools 2012 September 24-26
 Berlin, Germany
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                | Séminaire Maplesoft: Solutions Maplesoft pour l'éducation et la recherche October 10
 Université Lille 1, France
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                | For further details about these events, click here. |  
 
 
                
                  | Community  
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                  | Mathematics-Based Modeling of a Series-Hybrid Electric VehicleThursday, September 27th at 10:00 am EDT
 
  The automotive industry is in transformation. The complexity of the   automobile has increased exponentially in the past decades and has triggered a   design revolution that stresses detailed modeling and simulation steps prior to   committing to metal and plastic. With new generation vehicles deploying hybrid   (HEV), fully electric (EV), and fuel cell powerplants, the need for advanced   physical modeling solutions is considerably greater due to increasing system   complexity. This webcast covers new approaches to modeling and simulation for   HEV and EV vehicle applications with emphasis on the development of   high-fidelity physical models of automotive batteries. To speed up the design   and prototyping processes of HEVs, a method that automatically generates   mathematics equations governing the vehicle system response in an optimized   symbolic form is desirable. To achieve this goal, the physical modeling tool   MapleSim was employed to develop the multidomain model of a series-HEV, using   the symbolic computing algorithms of the Maple software package to generate an   optimized set of governing equations. The HEV model consists of a mean value   internal-combustion engine, a Li-ion battery pack, and a multibody vehicle   model. Simulations are then used to demonstrate the performance of the HEV   system. Simulation results show that the model is viable and the number of   governing equations is reduced significantly, resulting in a computationally   efficient system. Webcast attendees will be invited to interact with the   speakers during the program's live Q&A segment.
 
                      
                        
                          
                            | Presenters: |  
                            |  | Dr. John McPhee, Professor, Systems Design Engineering, University of   Waterloo, and NSERC/Toyota/Maplesoft Industrial Research Chair,   Mathematics-based Modeling and Design Dr. John   McPhee's main area of research is multibody system dynamics, with principal   application to the analysis and design of vehicles, mechatronic devices, and   biomechanical systems. He has won many awards, including a Premier's Research   Excellence Award and the I.W. Smith Award from the Canadian Society of   Mechanical Engineers. He completed his term in 2009 as the Executive Director of   the Waterloo Centre for Automotive Research, spending a sabbatical year at the   Toyota Technical Center in Ann Arbor, Michigan. He holds a Ph.D. in mechanical   engineering from the University of Waterloo, Canada.
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                            |  | Dr. Sam Dao, Application Engineer, Maplesoft Dr. Sam Dao received his Ph.D. degree in mechatronics from the   Department of Mechanical and Mechatronics Engineering at the University of   Waterloo. He is currently an Application Engineer at Maplesoft. He has been   involved in many research projects including multiple robot networking, hybrid   electric vehicle modeling, and battery modeling.
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 Symbolic Computation Techniques for Multibody Model Development and Code Generation
  Multibody models can generate large systems of differential algebraic   equations (DAEs). These equations can take a significant amount of time to solve   numerically and often the modeller needs to make difficult decisions between   model fidelity and simulation speed.
 This webinar presents some of the benefits of a general purpose symbolic   computation environment when constructing and generating simulation code for   multibody, multi-domain systems.  Specifically, it considers how tools provided   by these environments can be harnessed to generate highly efficient simulation   code through coordinate selection, symbolic manipulation, and expression   optimization.                     
 
 
  Revamped MapleSim Model Gallery
 The MapleSim Model Gallery has been dramatically revamped and now includes over 100 models. Discover the breadth and depth of MapleSim by browsing the real-world   application examples from the MapleSim Model Gallery. The gallery currently contains examples from the following industries: Academic, Aerospace, Motion Control, Power Industries, Vehicle Engineering.
 If your industry is not listed, or you want to discover   more application examples, speak to our MapleSim   experts for a personalized demonstration of how MapleSim can benefit you in   your industry. |  |  
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                  |  BLOGS  |  
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                      |  | Ten new 'Teaching Concepts with Maple' examples added |  
                      |  | With the addition of ten new Clickable-Calculus examples to the Teaching Concepts with Maple section of the Maplesoft website, we've now posted 63 of the 154 solved problems in my data-base of syntax-free calculations. |  |  |  |  
            
              
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                      |  MAPLESOFT IN THE PRESS  |  
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                          |  | Space Equipment Gets in the Loop -   MapleSim breaks new ground in HIL real-time simulation for planetary   rovers Desktop Engineering, August 7, 2012
 “Dr. Amir Khajepour, Canada Research Chair in Mechatronic   Vehicle Systems and a professor of engineering in the Mechanical and   Mechatronics Engineering department at the University of Waterloo (UW), and his   team worked with the Canadian Space Agency (CSA) and Maplesoft, to develop a   hardware-in-the-loop (HIL) test platform for solar-powered planetary rovers...   the main advantage of their approach is that it significantly reduces the   overall development time in the project.”
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                          |  | Transmission modeling and simulation:   key to reducing power loss Automotive Engineering Online, July 18, 2012
 “Over the last decade there has been a remarkable push toward   acausal modeling environments, such as MapleSim from Maplesoft, which takes a   different approach to modeling. Rather than representing mathematics directly,   models use components that contain governing equations, and it is incumbent on   the solver to perform the mathematical manipulation.”
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                          |  | Battery Design is Charging   Ahead Desktop Engineering, July 2, 2012
 “...the industry is turning increasingly to math-based modeling   techniques that allow engineers to accurately describe the behavior of the   system--and the constraints on the system--in physical terms. These model   equations are then used to develop, test and refine designs quickly, without   building physical prototypes. Hence, having a good virtual model of the battery   is essential so that both battery behavior and the physical interaction of the   battery with all the other components are properly reflected in the   model.”
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