Data Analysis and Visualization with MATLAB


Texas A&M University High Performance Research Computing and MathWorks is pleased to invite you to a complimentary MATLAB seminar. Faculty, staff, researchers and students are all welcome to attend. 

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 introduce you to the powerful statistical analysis and visualization capabilities available in MATLAB.


Part 1: Learn how to acquire, analyze and visualize data in MATLAB, introduce desktop tools for editing and debugging code, and show how to publish your results.

  • 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

Part 2:  We will discuss and show 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 how to use parallel computing tools to solve computationally and data-intensive problems on multicore computers and clusters, and automatically translate your MATLAB code into C.

  • 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

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