Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
Authors: Cevallos-Torres, Lorenzo, Botto-Tobar, Miguel
Free Preview- 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
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- About this book
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This book describes and outlines the theoretical foundations of system simulation in teaching, and as a practical contribution to teaching-and-learning models. It presents various methodologies used in teaching, the goal being to solve real-life problems by creating simulation models and probability distributions that allow correlations to be drawn between a real model and a simulated model. Moreover, the book demonstrates the role of simulation in decision-making processes connected to teaching and learning.
- Table of contents (8 chapters)
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The System Simulation and Their Learning Processes
Pages 1-11
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Process Sampling
Pages 13-31
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Pseudo-Random Numbers and Congruential Methods
Pages 33-58
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Random Variable Generation Methods
Pages 59-86
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Monte Carlo Simulation Method
Pages 87-96
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Table of contents (8 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
- Authors
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- Lorenzo Cevallos-Torres
- Miguel Botto-Tobar
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 824
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-13393-1
- DOI
- 10.1007/978-3-030-13393-1
- Hardcover ISBN
- 978-3-030-13392-4
- Softcover ISBN
- 978-3-030-13395-5
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XVI, 132
- Number of Illustrations
- 21 b/w illustrations, 22 illustrations in colour
- Topics
