Experiences with Web-based Signal Analysis Laboratories and Online Training during the COVID-19 Period

Vivek Narayanaswamy, Photini Spanias, Sunil Rao, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work in progress paper describes our efforts and challenges in delivering undergraduate and graduate courses during COVID-19 conditions. More specifically, we focus on the adaptation and delivery of digital signal analysis laboratories for all the remote learners during the pandemic conditions. Methods for online labs and workforce training have been developed and deployed on a virtual basis. These labs and simulation environments have been deployed in signals and systems and DSP classes as well as in workforce development programs such as the REU and RET. The assessment of these efforts included evaluation forms and interviews. Challenges and opportunities from virtual delivery of content and labs were also part of the assessment.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665438513
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 IEEE Frontiers in Education Conference, FIE 2021 - Lincoln, United States
Duration: Oct 13 2021Oct 16 2021

Publication series

NameProceedings - Frontiers in Education Conference, FIE
Volume2021-October
ISSN (Print)1539-4565

Conference

Conference2021 IEEE Frontiers in Education Conference, FIE 2021
Country/TerritoryUnited States
CityLincoln
Period10/13/2110/16/21

Keywords

  • COVID-19 education
  • DSP
  • REU
  • machine learning
  • quantum computing
  • virtual labs
  • workforce

ASJC Scopus subject areas

  • Software
  • Education
  • Computer Science Applications

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