Electromagnetic Warfare Data Analysis

  • Overview
  • Course Content
  • Requirements & Materials
Overview

Electromagnetic Warfare Data Analysis

Course Description

Data analysis in Electromagnetic Warfare (EW) depends on a set of skills and tools with an understanding of EW-specific challenges. Assuming no prior knowledge, this course begins with basic analytical methods and strategies for reading and plotting data, and proceeds to more advanced techniques in statistics and visualization: data containers, efficient processing, pipelines, distribution analysis, grammar of graphics, n-dimensional plotting, plot types, and facilitating human, and computer pattern recognition. The role of sensor characterization in cognitive EW and how data analysis paves the way for using evolutionary computing methods and machine learning in EW will also be discussed.

Course Content

INTRODUCTION

  • What is data analysis and what is typically involved in a data analysis project
  • Analysis challenges are specific to EW
  • Tools for analysis
  • Setting up Python and managing local repositories for closed rooms

READING DATA

  • Strategies for reading incomplete or imperfect data
  • Data containers

PLOTTING

  • Encoding data
  • Visualizing multidimensional data to facilitate intuitive human pattern recognition
  • Grammar of graphics
  • When there are too many points to plot: plotting on images and data reduction

GETTING TO KNOW YOUR DATA: STATISTICS

  • Basic statistics
  • When statistical interpretation is not so simple
  • Curve fitting and distribution analysis

GETTING PATTERNS TO STAND OUT

  • Intuitive plotting for a human audience
  • Preparing data for computer pattern recognition

NEXT STEPS

  • Toward cognitive EW, evolutionary computing and machine learning in EW
Requirements & Materials
Prerequisites
Materials

Provided

  • Notebooks
  • Course handouts/links
  • Laptops for use during course

Session Details

  • Georgia Tech Research Institute (GTRI) employees are eligible to receive a discount.  If you are a GTRI employee, please go to the Organizational Development website and look for the coupon code under GT Professional Development. Review coupon instructions for more information.

Who Should Attend

This course is designed for managers, architects, developers, engineers, and government/commercial industry employees in electromagnetic warfare systems. It will be of greatest benefit to those who need to understand what we can learn from EW data analysis and how it can be used to ensure that systems are designed and maintained for mission success.

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What You Will Learn

  • The role of EW data analysis in mission success
  • Common analysis tools and the current state of the art for EW data analysis
  • How to think about approaching EW data analysis by knowing what it can and cannot provide and where the common pitfalls are
  • Strategies for effective EW data analysis and visualization
  • EW-specific analysis considerations
  • How EW data analysis enables sensor fusion, machine learning, and cognitive EW
Electronic warfare learner listening in classroom course

How You Will Benefit

  • Become familiar with the state of the art in EW data analysis techniques and tools.
  • Gain experience with data analysis and visualization methods that work well for EW data.
  • Gain perspective on how EW data analysis fits in an EW system’s lifecycle.
  • Learn techniques for analyzing and plotting multidimensional, incomplete, and big data in EW.
  • Gain perspective on what EW data analysis can provide and what problems can ensure in its absence.
  • Taught by Experts in the Field icon
    Taught by Experts in the Field
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    Grow Your Professional Network

The course schedule was well-structured with a mix of lectures, class discussions, and hands-on exercises led by knowledgeable and engaging instructors.

- Abe Kani
President

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