MATLAB seminars 2010

Join us for free MATLAB seminars on Thursday, September 30 and Friday, October 1, 2010 at Columbia University.

Location:
Davis Auditorium
412 Schapiro
CEPSR Building

You can register for any or all of the following sessions:

  • Session 1: Data Analysis and Visualization in MATLAB (September 30)
  • Session 2: Designing and Modeling a Multi-Domain System in MATLAB and Simulink (September 30)
  • Session 3: Speeding Up Applications: Parallel Computing with MATLAB (October 1)

Register for this seminar at www.mathworks.com/seminars/col1010.

 

Thursday, September 30

Time: 10:00 a.m. – 12:00 p.m.

Data Analysis and Visualization in MATLAB

During this session we will introduce specific examples to demonstrate
how to acquire, analyze and visualize data through mathematical,
statistical and engineering functions that support common engineering
operations.  This session is designed to provide an overview of the
MATLAB technical computing environment, including desktop tools for
editing and debugging code, publishing your work, programming and 3-D
visualization, and creating graphical user interfaces (GUI).   We will
incorporate a number of new features from the latest version of MATLAB.

Highlights include:

• Importing data into MATLAB
• Performing statistical analysis and curve fitting
• Automating analysis via automatic MATLAB code generation
• Building GUIs and generating reports

Thursday, September 30

Time: 1:00 – 3:30 p.m.

*Designing and Modeling a Multi-Domain System in MATLAB and Simulink*

The purpose of this session is to demonstrate how to develop an
algorithm in MATLAB that you can incorporate into a dynamic system using
Simulink.  We will develop an object tracking algorithm in MATLAB and
then use Simulink to design and model the mechanical and electrical
components of the motor.  We will also show how to design and
automatically tune the controller to optimize system performance.  Our
last step will be to implement the system on real-time hardware.

Highlights include:

Developing an Algorithm in MATLAB

Case study: Data/image acquisition and analysis

• Accessing data (from files or hardware)
• Analyzing and visualizing data in MATLAB
• Publishing and deploying the results

Modeling and Controlling a System in Simulink

Case study: Object tracking mechanism

• Realizing the MATLAB algorithm for real-world use
• Modeling and simulating the electro-mechanical dynamic system
• Performing feedback control design and optimization
• Automatically generating code for prototyping

Friday, October 1

Time: 10:00 a.m. – 12:00 p.m.

Speeding Up Applications: Parallel Computing with MATLAB

In this session we will demonstrate how to perform parallel and
distributed computing in MATLAB to boost execution speed on
computationally intensive problems, including how to handle larger data
sets.  We will highlight our add-on tools that offer built-in ability to
take advantage of parallel computing resources without requiring any
extra coding.  We will introduce you to parallel processing constructs
such as parallel for-loops, distributed arrays, and message-passing
functions that allow you to convert serial MATLAB applications to
parallel MATLAB applications with few code modifications.

This session will cover:

• Toolboxes with built-in support for parallel computing
• Go faster: Task parallel processing
• Working with larger data sets: Data parallel processing
• Scale up to a cluster: Interactive to scheduled jobs
• Numerous tips on developing parallel code

Please forward this invitation to any faculty, staff and students who
may be interested in these events.*

We hope you can join us. Please contact me with any questions at
angelo.damato@mathworks.com or 508-647-7516.

Sincerely,

Angelo D'Amato
Sr. Account Mgr.

MathWorks
3 Apple Hill Drive
Natick, MA 01760
Direct: 508.647.7516
Fax: 508.652.8702
www.mathworks.com

Webinars - learn more about using our products through these online
sessions; www.mathworks.com/webinars

Interactive Tutorials - learn how to get started with MATLAB and Simulink;
www.mathworks.com/academia

Parallel Computing - leverage your multi-core computer and cluster with
this toolbox;www.mathworks.com/products/parallel-computing

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