[Faculty] Building on Excellence with MATLAB - campus visit July 22nd
Marcie Morihiro
mmorihiro at mail.sdsu.edu
Wed Jul 15 15:51:25 PDT 2015
Hi Everyone,
MATLAB will be holding a seminar at SDSU on 7/22, if you are interested in
attending, please see details below for registering. Also, please share
with any of your students that may be interested in attending.
Thank you!
Marcie Morihiro
Assistant to the Dean
College of Engineering
San Diego State University
5500 Campanile Drive
San Diego, CA 92182-1326
Office: E-203B
Phone: 619-594-6062
E-mail: mmorihiro at mail.sdsu.edu
On Mon, Jul 6, 2015 at 1:37 PM, Tom McHugh <Tom.McHugh at mathworks.com> wrote:
Marcie,
Also, included in this email is a copy of the invitation. If possible,
would you please share with the faculty and students.
Thank you,
Tom
Tom McHugh
Sr. Account Manager
MathWorks
Phone: 508-647-7657
Fax: 508-652-6741
Email: tmchugh at mathworks.com
Please join us for a complimentary MATLAB seminar. SDSU faculty, staff,
researchers and students are all welcome to attend. During this technical
seminar, we will provide an overview of MATLAB and introduce you to the
powerful statistical analysis and visualization capabilities available in
MATLAB.
*To register, please visit: **>>Register*
<https://go2.mathworks.com/data-analysis-and-visualization-sdsu--sem-na-979134>
*Title*: *Data Analysis and Visualization with MATLAB seminar *at San
Diego State University
*Date: Wednesday, July 22nd *
*Time: 1:30 pm – 3:30 pm*
*Location: San Diego State University *
*North Education Building – 271*
*Overview*
MATLAB is a programming environment for algorithm development, data
analysis, visualization, and numerical computation. Using MATLAB, you can
solve technical computing problems faster than with traditional programming
languages, such as C, C++, and FORTRAN.
We will demonstrate how to analyze and visualize data, introduce desktop
tools for editing and debugging code, and show you how to publish your
results.
*Highlights include: *
• Accessing data from files, spreadsheets and other sources
• Performing statistical analysis, curve and surface fitting routines
• Developing algorithms and applications to automate your workflow
• Generating reports in HTML and other file formats to share your work
To learn more or to register, please visit:
https://go2.mathworks.com/data-analysis-and-visualization-sdsu--sem-na-979134
If you have any questions or would like to register, please contact me at
tom.mchugh at MathWorks.com
Thank you,
Tom
Tom McHugh
MathWorks
Phone: 508-647-7657
Email: tmchugh at mathworks.com
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