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  <title>The MathWorks - Free Upcoming Webinars</title> 
  <link>http://www.mathworks.com/company/events/webinars_rssl.html?path=/webinars</link> 
  <description>Learn more about MathWorks products through these one-hour recorded online seminars.</description> 
  <language>en-us</language> 
  		<ttl>720</ttl>
		
  <lastBuildDate>Tue, 15 Oct 2004  04:00:00 GMT</lastBuildDate> 
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  			<title>The MathWorks</title>
  			<url>http://www.mathworks.com/images/membrane_icon.gif</url>
   			<link>http://www.mathworks.com</link>
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  <webMaster>webmaster@mathworks.com</webMaster>

<item>
<title>What's New for Object-Oriented Programming in MATLAB</title>
<link>http://www.mathworks.com/webinars</link>
<description>&lt;strong&gt;Live Webinar 04/10/08: What's New for Object-Oriented Programming in MATLAB&lt;/strong&gt;
&lt;br/&gt;&lt;br/&gt; 
Two Sessions: 9:00am and 2:00pm EDT&lt;br/&gt; 
&lt;br/&gt; 
R2008a includes major enhancements to the object-oriented programming capabilities in MATLAB, enabling easier development and maintenance of large applications and data structures. Using engineering examples, this webinar will demonstrate how to define classes and work with objects, highlighting the benefits of this programming approach over traditional procedural techniques. It will highlight many new features, including:&lt;br/&gt; 
&lt;br/&gt; 
-Class definition files, enabling definition of properties, methods, and events&lt;br/&gt; 
-Handle classes with reference behavior, aiding the creation of data structures such as linked lists&lt;br/&gt; 
-Events and listeners, allowing the monitoring of object property changes and actions&lt;br/&gt; 
&lt;br/&gt; 
A Question and Answer session will follow the webinar presentation.&lt;br/&gt; 

</description>
<pubDate>08 Apr 2008 00:00:00 EDT</pubDate>
</item>

<item>
<title>Modeling Electromechanical Systems with SimElectronics</title>
<link>http://www.mathworks.com/webinars</link>
<description>&lt;strong&gt;Live Webinar 04/17/08: Modeling Electromechanical Systems with SimElectronics&lt;/strong&gt;
&lt;br/&gt; &lt;br/&gt; 
Two Sessions: 9:00am and 2:00pm EDT&lt;br/&gt; &lt;br/&gt; 
Modeling electromechanical systems in Simulink technical computing software has become even easier with the introduction of SimElectronics. This webinar introduces SimElectronics, as well as the other Physical Modeling products, and shows how to:&lt;br/&gt; &lt;br/&gt; 
- Efficiently model electronic and electromechanical systems in the Simulink environment&lt;br/&gt; 
- Quickly and easily adjust model fidelity according to your needs&lt;br/&gt; 
- Connect your electromechanical model to a three-dimensional mechanical model&lt;br/&gt; 
&lt;br/&gt; 
This webinar will also touch upon setting model parameters using measurement data and optimizing your system using control design tools.&lt;br/&gt; &lt;br/&gt; 
A Question and Answer session will follow the webinar presentation.&lt;br/&gt; 

</description>
<pubDate>15 Apr 2008 00:00:00 EDT</pubDate>
</item>

<item>
<title>Using SystemTest with Excel</title>
<link>http://www.mathworks.com/webinars</link>
<description>&lt;strong&gt;Live Webinar 04/24/08: Using SystemTest with Excel&lt;/strong&gt;

&lt;br/&gt; &lt;br/&gt;

Two Sessions: 9:00am and 2:00pm EDT&lt;br/&gt;&lt;br/&gt;

Many organizations use Excel to store their test cases and test results. This webinar demonstrates how to test a Simulink model using data stored in Excel.  Through a product demonstration, attendees will learn how to use SystemTest software for: &lt;br/&gt;&lt;br/&gt;

- Automating tests for verifying model&lt;br/&gt;

- Automatically generating a test report&lt;br/&gt;

- Importing data from and writing results to a spreadsheet&lt;br/&gt; 

&lt;br/&gt;

This webinar is for people who want to test designs modeled in Simulink and who currently use Excel. No prior knowledge of SystemTest or Simulink software is necessary. &lt;br/&gt;&lt;br/&gt;

A Question and Answer session will follow the webinar presentation.</description>
<pubDate>16 Apr 2008 00:00:00 EDT</pubDate>
</item>

<item>
<title>HDL Functional Verification with MATLAB and Simulink</title>
<link>http://www.mathworks.com/webinars</link>
<description>&lt;strong&gt;Live Webinar 04/29/08: HDL Functional Verification with MATLAB and Simulink&lt;/strong&gt;

&lt;br/&gt; 
&lt;br/&gt; 
 

Two Sessions: 9:00am and 2:00pm EDT &lt;br/&gt;&lt;br/&gt;

Learn how to shorten and improve your HDL implementation debug and verification effort using MATLAB and Simulink technical computing software as part of your existing development flow. Explore how to use MATLAB, Simulink, and your HDL simulator simultaneously for better debug and verification to: &lt;br/&gt;&lt;br/&gt;

- Reuse and leverage existing MATLAB functional models and analysis code&lt;br/&gt;

- Eliminate the need for manual and script-based efforts &lt;br/&gt;

- Enable interactive and dynamic debug in frame- or cycle-based modes &lt;br/&gt; 

&lt;br/&gt;

Find out how development teams are cutting verification and development time in half. &lt;br/&gt;&lt;br/&gt;

A Question and Answer session will follow the webinar presentation. </description>
<pubDate>16 Apr 2008 00:00:00 EDT</pubDate>
</item>

<item>
<title>Integrating MATLAB Algorithms into System-Level Design using Embedded MATLAB</title>
<link>http://www.mathworks.com/webinars</link>
<description>
&lt;strong&gt;Live Webinar 05/06/08: Integrating MATLAB Algorithms into System-Level Design using Embedded MATLAB&lt;/strong&gt;

&lt;br/&gt; 
&lt;br/&gt; 
 

Two Sessions: 9:00am and 2:00pm EDT &lt;br/&gt;&lt;br/&gt;

The Embedded MATLAB language subset is the subset of the MATLAB language that can be compiled into efficient code for embedded implementation. It consists of more than 270 of the operators and functions included in MATLAB and more than 90 of the functions in Fixed-Point Toolbox.&lt;br/&gt;&lt;br/&gt;

Benefit:
&lt;br/&gt;&lt;br/&gt;
MATLAB users can automatically generate C code for the first time directly from MATLAB code using the Embedded MATLAB language subset, gaining a direct path to embedded software implementation from MATLAB. &lt;br/&gt;&lt;br/&gt;

A Question and Answer session will follow the webinar presentation. </description>
<pubDate>28 Apr 2008 00:00:00 EDT</pubDate>
</item>

<item>
<title>Computational Statistics using MATLAB Products</title>
<link>http://www.mathworks.com/webinars</link>
<description>&lt;strong&gt;Live Webinar 05/08/08: Computational Statistics using MATLAB Products&lt;/strong&gt;

&lt;br/&gt; 
&lt;br/&gt; 
 

Two Sessions: 9:00am and 2:00pm EDT &lt;br/&gt;&lt;br/&gt;

Engineers and scientists face a variety of challenges when analyzing data. Time and cost constraints often limit the amount of 

data that can be acquired. In many cases, the quality of the data makes it difficult to extract trends or estimate uncertainty. 

Sometimes there is too much data and identifying the most significant explanatory variables can be troublesome. Specifying which 

model best describes the data often requires a choice between competing models that initially appear to have similar goodness-of-

fit measures.&lt;br/&gt;&lt;br/&gt;

Computational statistics provides a variety of applied quantitative methods that help solve these challenges including: 
&lt;br/&gt;&lt;br/&gt;

- Bootstrap - compensates for small sample sizes&lt;br/&gt;
- Partial Least Squares - transforms poor quality data into a useable form&lt;br/&gt;
- Feature Selection - identifies which variables have the most impact on a model&lt;br/&gt;
- Cross Validation - improves model evaluation and selection&lt;br/&gt;
&lt;br/&gt;&lt;br/&gt;

A Question and Answer session will follow the webinar presentation. 
</description>
<pubDate>28 Apr 2008 00:00:00 EDT</pubDate>
</item>

<item>
<title>Parallel Computing for Signal Processing using SystemTest</title>
<link>http://www.mathworks.com/webinars</link>
<description>&lt;strong&gt;Live Webinar 05/15/08: Parallel Computing for Signal Processing using SystemTest&lt;/strong&gt;

&lt;br/&gt; 
&lt;br/&gt; 
 

Two Sessions: 9:00am and 2:00pm EDT &lt;br/&gt;&lt;br/&gt;

This webinar demonstrates how to use SystemTest software and Parallel Computing Toolbox software to run a Simulink model using multiple computers or processors. This webinar is for people doing signal processing applications, who are interested in running multiple simulations of a Simulink model, such as bit error rate (BER) calculations. No prior knowledge of the software tools is necessary. &lt;br/&gt;&lt;br/&gt;

A product demo of a BER calculation will show viewers how the SystemTest and Parallel Computing Toolbox products enable:
&lt;br/&gt;&lt;br/&gt;

- Faster completion of tasks&lt;br/&gt;
- Distributing multiple simulations through using a check box
&lt;br/&gt;&lt;br/&gt;

A Question and Answer session will follow the webinar presentation. </description>
<pubDate>13 May 2008 00:00:00 EDT</pubDate>
</item>

<item>
<title>MATLAB for C/C++ Programmers</title>
<link>http://www.mathworks.com/webinars</link>
<description>&lt;strong&gt;Live Webinar 05/22/08: MATLAB for C/C++ Programmers&lt;/strong&gt;

&lt;br/&gt; 
&lt;br/&gt; 
 

Two Sessions: 9:00am and 2:00pm EDT &lt;br/&gt;&lt;br/&gt;

Learn how MATLAB technical computing software can support the development and debugging of your technical C/C++ applications by visualizing your data with its prebuilt plotting functions and testing your calculations with its trusted numerics. &lt;br/&gt;&lt;br/&gt;

Specific topics include:
&lt;br/&gt; &lt;br/&gt;

- Exchanging data between your running C/C++ application and MATLAB using the MATLAB Engine&lt;br/&gt;
- Issuing MATLAB commands from your running C/C++ application to debug your code, test your algorithms, and visualize your data&lt;br/&gt;
- Building shared libraries from MATLAB functions for deployment with your application
&lt;br/&gt;
- Building complete and standalone executables from MATLAB functions
&lt;br/&gt;&lt;br/&gt;

A Question and Answer session will follow the webinar presentation. 
</description>
<pubDate>19 May 2008 00:00:00 EDT</pubDate>
</item>

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