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MATLAB Seminars @ Mines
October 12, 2017 @ 1:00 pm - 3:30 pm
|What:||Two MATLAB Seminars, presented by Saket Kharsika from MathWorks
Please join Saket Kharsika for two complimentary MATLAB seminars. Mines students, faculty, staff, and researchers are all welcome to attend. During these technical seminars, we will provide an overview of MATLAB and introduce you to the powerful statistical analysis and visualization capabilities available in MATLAB.
BIO: Saket joined MathWorks in 2008 as an Application Engineer. He has a master’s degree in biomedical engineering, with a specialization in bioinformatics and computational biology, from the University of Akron. Some of the areas that he focusses on at MathWorks are MATLAB as a technical computing platform, parallel and distributed computing, machine learning and deployment of applications outside of MATLAB.
|Who:||These seminars are open to the Mines community|
|Where:||Metals Hall – Green Center|
|When:||October 12, 2017 1 p.m. – 3:30 p.m.|
|Registration:||Register here. Walk-ins also welcome.|
|NOTE: Thanks to the Mines Tech Fee program, MATLAB is now available for download to all Mines students, faculty, and researchers.
Visit the CCIT MATLAB web page for more information:
|Part 1 – Data Analysis and Visualization using MATLAB (1pm – 2:15pm)
This session is intended for beginning users and for existing users to see how MATLAB has changed over the past few years with some of the latest features. No prior programming experience or knowledge of MATLAB is assumed. MATLAB is a programming environment for algorithm development, data analysis, visualization, and numerical computation. Using MATLAB, you can solve technical computing problems faster and easier than with traditional programming languages. We will provide an overview of MATLAB and introduce you to the powerful statistical analysis and visualization capabilities available as well as demonstrate how to analyze and visualize data, introduce desktop tools for editing code, and show you how to publish and share your results.
|Part 2 – Optimizing & Accelerating MATLAB Code (2:15pm – 3:30pm)
In this session, we will discuss and demonstrate simple ways to improve and optimize your code that can boost execution speed by orders of magnitude. We will also address common pitfalls in writing MATLAB code, explore the use of the MATLAB Profiler to find bottlenecks, introduce our parallel computing tools to solve computationally and data-intensive problems on multicore computers and clusters, and finally talk about tools to automatically translate your MATLAB code into C.
|To learn more or to register please visit https://www.mathworks.com/company/events/seminars/matlab-seminars-2271366.html
For additional qustions please contact Tom McHugh (Tom.McHugh@MathWorks.com).