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Biology+C – Genetics: Phenotypes and Genotypes

This unit focuses on genetics and how the allele frequency in a population can change over time.

Biology+C – Natural Selection and Evolution: Natural Selection in Moths

This unit reviews concepts related to natural selection and Darwin’s theory of evolution. It provides students with the opportunity to gain a deeper understanding of the process of natural selection and how it can be represented and demonstrated using computer models.

Biology+C – Simple Ecosystems: Energy Flow in an Ecosystem

This unit models a simple ecosystem to provide students with the opportunity to gain a deeper understanding of the interactions of organisms in ecosystems such as the flow of energy between trophic levels.

Biology+C – Homeostasis: Maintaining Glucose Levels in Blood

This unit reviews concepts related to feedback loops for maintaining homeostasis in the human
body.

Biology+C – Enzymes: Food Digestion

The unit provides students with the opportunity to gain a deeper understanding of process and how they can be represented and demonstrated using computer models.

Biology+C – Ecosystem Dynamics: Balancing an Ecosystem

In this unit, students will apply concepts related to ecosystems, such as interdependent relationships, to run various experiments in the NetLogo model.

Science+C Intro Unit: Epidemics

This unit introduces students to using models as scientific testbeds, the NetLogo interface, and the basics of the model code by exploring how disease spreads through a population.

Biology+C – Experimenting with Photosynthesis

Photosynthesis is a dynamic process through which plants turn carbon dioxide and water into carbohydrates such as glucose while releasing oxygen as a byproduct.

Papeles en el viento ("Papercatchers")

"Papeles en el viento" (Papercatchers) es una simulación participativa en la que los estudiantes aprenden sobre el crecimiento de la población y los límites al crecimiento. Los estudiantes desempeñan el papel de miembros de una población creciente, siguen reglas sencillas que rigen la supervivencia y la reproducción, y recopilan y grafican datos.

Introducción al modelado del clima

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.

Guía de observación de un modelo basado en agentes

Se trata de una guía para poder observar un modelo basado en agentes y reconocer sus diferentes partes, como por ejemplo las abstracciones (quiénes son los agentes, cuál es el entorno, cuáles son las interacciones); la automatización; los supuestos y el análisis.

Bloques de código para modelo de cambio climático

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.

Ecosistemas como sistemas complejos

Documento que presenta las bases para abordar los ecosistemas como sistemas complejos adaptativos.

Scientific Practices and Computational Thinking in Modeling & Simulation

This document is a handout used to reflect on the scientific practices and computational thinking involved in a Project GUTS module or lesson.

Modeling MRSA in Chicago (scientist talk)

This is a talk Dr. Chick Macal gave to GUTS teachers at a Chicago PD workshop in 2015.

Ecosystems as Complex Adaptive Systems

Background information on ecosystems for teachers' use in CS in Science, Module 3 (Ecosystems)

Interview with Hal Scheintaub

Teachers with GUTS interviewed Hal Scheintaub and demo of StarLogo Nova models created by his students on August 2, 2017.

Emergence video

A portion of a PBS NOVA video discussing the concept of emergence (or complex adaptive systems) where patterns emerge in nature where agents follow simple rules.

What's Represented?

These exercises ask the learner to identify abstractions in the computer model as compared to a diagram or image of a natural phenomenon.

Why Model?

A paper describing the author's reasons why modeling is essential to science.

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