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Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation (Hardcover, 1st ed. 2019) Loot Price: R2,653
Discovery Miles 26 530
Repayment Terms: R249 pm x 12*
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Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation (Hardcover, 1st ed. 2019): Lorenzo...

Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation (Hardcover, 1st ed. 2019)

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Series: Studies in Computational Intelligence, 824

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Loot Price R2,653 Discovery Miles 26 530 | Repayment Terms: R249 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Computational Intelligence, 824
Release date: March 2019
First published: 2019
Authors: Lorenzo Cevallos-Torres • Miguel Botto-Tobar
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 132
Edition: 1st ed. 2019
ISBN-13: 978-3-03-013392-4
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Social sciences > Education > Educational resources & technology > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-013392-3
Barcode: 9783030133924

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