MATLAB Seminars @ Mines (Thurs Oct 12 @ 1PM & 2:15PM - Metals Hall)

10/12/17 1:00 PM

Two MATLAB Seminars, presented by Saket Kharsika from MathWorks

  • Data Analysis & Visualization using MATLAB (1pm - 2:15pm)
  • Optimizing & Accelerating MATLAB Code (2:15 - 3:30pm)

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 1pm - 3:30pm
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.

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
  • Developing and sharing MATLAB apps, standalone executables and software components

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.

Highlights include:

  • Optimizing MATLAB code to boost execution speed
  • Automatically generating portable C code from MATLAB
  • Employing multi-core processors and GPUs to speed up your computations
  • Scaling up to computer clusters, grid environments or clouds

To learn more or to register please visit
For additional qustions please contact Tom McHugh (




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