Overview
- A general, descriptive and didactic introduction on the use of simulation systems in probability distributions
- Helps the reader to solve real-life problems
- Describes how the different simulation methods can be used to analyze phenomena and problems
Part of the book series: Studies in Computational Intelligence (SCI, volume 824)
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Table of contents (8 chapters)
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Front Matter
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
Authors: Lorenzo Cevallos-Torres, Miguel Botto-Tobar
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-13393-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-13392-4Published: 21 March 2019
Softcover ISBN: 978-3-030-13395-5Published: 14 August 2020
eBook ISBN: 978-3-030-13393-1Published: 11 March 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVI, 132
Number of Illustrations: 21 b/w illustrations, 22 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Technology and Digital Education, Probability and Statistics in Computer Science