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Code Blocks for CS in Science Module 2 (Water Resources)

Posted July 27, 2018 by sgibbs

This blocks guide can help students decode the base model used in Module 2 -- Water Resources. The links below correspond to either StarLogo Nova 1.0 (Flash version) or StarLogo Nova 2.0 (HTML5/JavaScript version).

Daisy world

Posted April 3, 2017 by turtle

A model demonstrating the albedo effect of black or white surfaces. Use as a part of the Climate Change and Agriculture Project GUTS Curricular Unit, or as a stand-alone model, activity, and video.

Computational Thinking

Posted December 2, 2016 by turtle

This video introduces computational thinking. It was produced by Project GUTS with Code.org.

Dispositions and Classroom Culture

Posted December 2, 2016 by turtle

In this video, GUTS teachers talk about instilling dispositions and classroom culture that supports scientific inquiry and the development of computational thinking.

Computational science project rubric

Posted December 2, 2016 by turtle

This rubric is based on one used by the Supercomputing Challenge for judging student projects and presentations during competition.

Archived Material: CS in Science Module 2: Water as a Shared Resource (for StarLogo Nova 1.0)

Posted December 2, 2016 by turtle

Archived material for CS in Science: Module 2 for StarLogo Nova 1.0 (flash version, updated in 2015). In this module, students will investigate the importance of ground water and the impacts of water usage on aquifer levels. They will also explore how to model important parts of the water cycle, including evaporation and infiltration of water into different types of soils to recharge the aquifers.

El Juego de la pesca (La Tragedia de los Comunes)

Posted March 29, 2017 by Rizzi

El Juego de la Pesca utiliza el concepto de Tragedia de los Comunes (Hardin, 1968) para trabajar sobre sustentabilidad. El jugador (pescador) tiene 10 días para atrapar tantos peces como pueda para alimentar a su familia. Cada día, el pescador puede elegir pescar uno, dos o tres peces, o no pescar ninguno. Hay otros dos pescadores que también tratan de capturar tantos peces como puedan. El lago en el que se pesca sólo puede soportar 20 peces (que es la capacidad de carga del lago).

An Example of CT in the Workplace

Posted May 15, 2017 by ilee

This is an example of how a computer modeler uses various aspect of computational thinking while designing, creating and using a computer model as a tool to think with.

Project GUTS teacher & facilitator guides

Posted June 19, 2018 by sgibbs

These guides are aimed at helping teachers or workshop facilitators help their students or participants be independent learners while working with computer models. They are a work in progress - final versions will be uploaded soon. Please feel free to point out any corrections or additions in a discussion thread -- Thanks!

Introducción al modelado del clima

Posted May 16, 2017 by Rizzi

Documento base como introducción al modelado del clima. Habla sobre el sistema climático global como un sistema dinámico complejo; la diferencia entre tiempo y clima; los ciclos de retroalimentación en el sistema climático global, etc.
Fue extraído de “Mathematics of Climate Change: A new discipline for an uncertain century” una publicación del Instituto de Investigación en Ciencias Matemáticas. Berkeley, CA 2007 y traducido al español.

Bloques de código para modelo de cambio climático

Posted May 16, 2017 by Rizzi

Es una hoja de referencia con los bloques de código necesarios para el modelo de cambio climático. Se explica bloque por bloque qué función cumple cada estructura en cada pestaña de la programación con StarLogo NOVA.

Computational Science video

Posted June 2, 2017 by sgibbs

A short video (1:27) on the computational science cycle, used in Project GUTS CS in Science (Modules 2-4).

Climate Change Impacts on Water Resources in StarLogo TNG

Posted August 16, 2016 by turtle

What do we know about climate change? This unit discusses climate change: what it means, what the difference is between climate and weather, and evidence of climate change. It also discusses the global climate system as a complex system with feedback loops, and the current state of the art in the computational modeling of climate change. Our goal is to clarify what is known, what scientists guess is happening, and how climate change impacts our environment and species.

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