Tackling Big & Messy Data with MATLAB
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Date: Tue, September 19, 2023
Time: 1:00pm - 2:30pm
Location: Holmes Hall 389
Speaker: Timothy Kyung, MathWorks
Date: Tue, September 19, 2023
Time: 1:00pm - 2:30pm
Location: Holmes Hall 389
Speaker: Timothy Kyung, MathWorks
Abstract:
Analyzing real-world data can get messy! This session is intended to show how to get ugly, real-world data into MATLAB and get it ready for analysis, as well as learn strategies and techniques for handling large amounts of data in MATLAB. With flight-test data as an example, the content in this presentation is meant to help engineers with the following key items:
✨ Key updates to the MATLAB environment, capabilities, data-types, etc.
✨ Importing data (large data sets, varying formats)
✨ Data Management (efficient storage/access strategies)
✨ Handling Missing or Misaligned Data
✨ Detecting and Handling Outliers
✨ Smoothing and Filtering Noisy Data
✨ Leveraging tall arrays to analyze and process data that does not fit in memory
✨ Using Parallel Computing Toolbox for increased performance
Biography:
Timothy Kyung is an Application Engineer supporting the Government and Department of Defense industry with technical focuses in deployment/interfacing with 3rd party software and parallelization. He holds a B.S. and M.S. in Mechanical Engineering with a focus in robotics from Carnegie Mellon University.