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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Σειρά: | Studies in Computational Intelligence,
824 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.