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Teaching Digital Logic Design using the GOAL (Guided On-demand Adaptive Learning) System
Author(s) -
Ronald D. Williams,
J.B. Dugan
Publication year - 2020
Publication title -
2011 asee annual conference and exposition proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--18537
Subject(s) - dependability , fault tree analysis , computer science , bayesian network , software engineering , reliability (semiconductor) , probabilistic logic , machine learning , systems engineering , reliability engineering , distributed computing , artificial intelligence , engineering , power (physics) , physics , quantum mechanics
Joanne Bechta Dugan is Professor of Electrical and Computer Engineering and the Director of the Computer Engineering Program at the University of Virginia. Her research focuses on probabilistic assessment of the dependability of computer-based systems. She has developed the Dynamic Fault Tree model, which extends the applicability of fault tree analysis to computer systems. Her research interests include hardware and software reliability engineering, dependable computing, system health management and mathematical modeling using dynamic fault trees, Markov models, and Bayesian networks. Her current focuses on the development of new technologies and engineering approaches to evaluate and improve engineering education, both in traditional classroom setting and in non-traditional on-line settings.

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