Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation Lorenzo Cevallos-Torres Author - neues Buch

EAN (ISBN-13): 9783030133931
Erscheinungsjahr: 2019
Herausgeber: Springer-Verlag New York, LLC Digital >16

Buch in der Datenbank seit 2021-03-10T07:02:31+01:00 (Berlin)
Buch zuletzt gefunden am 2024-07-20T05:18:18+02:00 (Berlin)
ISBN/EAN: 9783030133931

ISBN - alternative Schreibweisen:
978-3-030-13393-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: torres

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Daten vom Verlag:

Autor/in: Lorenzo Cevallos-Torres; Miguel Botto-Tobar
Titel: Studies in Computational Intelligence; Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
Verlag: Springer; Springer International Publishing
132 Seiten
Erscheinungsjahr: 2019-03-11
Cham; CH
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XVI, 132 p. 43 illus., 22 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Simulation Software; Computational Intelligence; Simulation in Probability Distributions; Problem-Based Learning; Simulation-based Problem Solving; B; Computational Intelligence; Artificial Intelligence; Digital Education and Educational Technology; Probability and Statistics in Computer Science; Engineering; Lehrmittel, Lerntechnologien, E-Learning; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; BB

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.
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