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Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation

  • Lorenzo Cevallos-Torres
  • Miguel Botto-Tobar

Part of the Studies in Computational Intelligence book series (SCI, volume 824)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Lorenzo Cevallos-Torres, Miguel Botto-Tobar
    Pages 1-11
  3. Lorenzo Cevallos-Torres, Miguel Botto-Tobar
    Pages 13-31
  4. Lorenzo Cevallos-Torres, Miguel Botto-Tobar
    Pages 33-58
  5. Lorenzo Cevallos-Torres, Miguel Botto-Tobar
    Pages 59-86
  6. Lorenzo Cevallos-Torres, Miguel Botto-Tobar
    Pages 87-96
  7. Lorenzo Cevallos-Torres, Miguel Botto-Tobar
    Pages 111-122

About this book

Introduction

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.

Keywords

Simulation Software Computational Intelligence Simulation in Probability Distributions Problem-Based Learning Simulation-based Problem Solving

Authors and affiliations

  1. 1.Faculty of Mathematical and Physical SciencesUniversity of GuayaquilGuayaquilEcuador
  2. 2.Eindhoven University of TechnologyEindhovenThe Netherlands

Bibliographic information