(10:00 a.m. – 12:00 p.m.) Data Analysis with MATLAB
During this session we will use 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 be an overview of the MATLAB technical computing environment.
Highlights include:
• Importing data from various sources
• Performing statistical analysis
• Automating analysis via automatic m-code generation
• Building GUI’s and generating reports
(12:00 p.m. - 1:00 p.m.) Break
(1:00 p.m. – 3:00 p.m.) Speeding up MATLAB Applications
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 m-code, explore the use of the MATLAB Profiler to find bottlenecks, and briefly introduce our Parallel Computing Toolbox and Distributed Computing Server to solve computationally and data-intensive problems on multicore computers and clusters.
Highlights include:
• Understand memory usage and vectorization in MATLAB
• Address bottlenecks in your programs
• Optimize file I/O to streamline your code
• Transition from serial to parallel MATLAB programs
