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

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...

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Detaylı Bibliyografya
Asıl Yazarlar: Cevallos-Torres, Lorenzo (Yazar), Botto-Tobar, Miguel (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:Studies in Computational Intelligence, 824
Konular:
Computational intelligence.
Artificial intelligence.
Educational technology.
Computer science > Mathematics.
Mathematical statistics.
Computational Intelligence.
Artificial Intelligence.
Digital Education and Educational Technology.
Probability and Statistics in Computer Science.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • The System Simulation and their Learning Processes
  • Process Sampling
  • Pseudo-random Numbers and Congruential Methods
  • Random Variable Generation Methods
  • Monte Carlo Simulation Method
  • Case Study: Logistical Behavior in the use of Urban Transport Using the Monte Carlo Simulation Method
  • Case Study: Project-Based Learning to Evaluate Probability Distributions in Medical Area
  • Case Study: Probabilistic Estimates in the Application of Inventory Models for Perishable Products in SMEs.

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