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As a virus spreads through a community, epidemiologists might study how far a disease has spread, how quickly it spreads and how infectious it can be as well a numerous other pieces of data in order to understand the disease and its potential impact on a community. In this activity, students will simulate the spread of a virus such as the flu. Students will work in pairs to accumulate data using graph paper, a data chart, and a die. Before starting, groups will need to decide on three variables.

Student Activity Guide: Preparing Presentations

A list of guidelines for students to follow in preparing to present a completed model (Day 5 activity in Modules 2, 2A, 3, and 4 in CS in Science Modules).

Peanut Butter & Jelly Robot

This activity introduces students to several computer science concepts, to the necessity for thoroughness while programming, and to the often strange results of literalism. The overarching theme is that computers do what they are told and nothing more. The ability to read between the lines and determine what was meant rather than what was said is a skill computers lack. Additionally, students are introduced to the concept of debugging.

Traffic Patterns for StarLogo TNG

Why do traffic jams form?

Each year the number of paved miles grows by roughly 20,000 miles. When traffic gets too congested, traffic engineers must consider changes to existing roads or intersections. This unit engages students in interactive activities to explore pattern formation in complex systems, and in the use, modification, and creation of agent-based models to conduct experiments on simple virtual traffic systems, to study whether proposed road changes will the desired effect.

Archived Material: CS in Science Module 1 (for StarLogo Nova 1.0)

Archived Material: Module 1 introduces basic concepts in modeling complex systems through hands-on activities and participatory simulations. A scaffolded series of highly-engaging design and build activities guide students through developing their first computer model in StarLogo Nova 1.0, a modeling and simulation environment developed at the Massachusetts Institute of Technology.

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

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.

Archived Material: CS in Science Module 3 - Ecosystems as complex systems (for StarLogo Nova 1.0)

Archived Material: CS in Science Module 3 (for StarLogo Nova 1.0, Flash version updated 2015). This Life Science module begins with an exploration of a simple predator-prey model to consider who eats whom—and what happens when one population grows faster than another. Students develop their own model of a local ecosystem and learn about ecosystem dynamics, producers and consumers, and interdependent relationships within an ecosystem.

Archived Material: CS in Science Module 4 Chemical Reactions for StarLogo Nova 1.0 (Flash version)

Archived Material: CS in Science Module 4: Chemical Reactions for StarLogo Nova 1.0 (Flash version, updated 2015). This Physical Science module explores chemical reactions: the conditions under which they occur, the evidence that a chemical reaction has taken place, limiting reactants versus reactants in excess, and when chemical reactions stop. The base model for this unit simulates the chemical reaction between silver nitrate and copper.

Blocks and Drawers Guide for StarLogo Nova 1.0

This handout shows students all available blocks in StarLogo Nova 1.0 (Flash version), organized by the drawers.

Información sobre Sistemas Complejos Adaptativos

Tres documentos con información general acerca de Sistemas Complejos Adaptativos. Traducidos por @rizzicristian a partir de los originales en Inglés.

What are the chances?

An off-line activity to introduce students to concepts of randomness and how to program percent chance using a slider in StarLogo Nova.

Libro de recetas de StarLogo NOVA

Este documento incluye explicaciones y capturas de pantalla para los códigos comunes en StarLogo Nova, incluyendo la creación del mundo, la creación y el cambio de nombre de razas, el uso de rasgos por defecto y la creación de rasgos personalizados, movimientos aleatorios, coordenadas y el uso de la vista 3D, cajas de datos y gráficos de línea, el color del terreno, el uso de colisiones, la creación de un código para detener la ejecución, y cómo perseguir o huir de otros agentes.

Formulario de diseño experimental

Una copia imprimible del formulario de diseño experimental, utilizada en los Módulos Científicos de Project GUTS, para que los estudiantes planifiquen un experimento, incluyendo la identificación de variables, la planificación de la recopilación y el análisis de datos y la interpretación. Traducción del original en Inglés.

Pioneros (Trailblazers)

Pioneros (Trailblazers) es una actividad divertida con lápiz y papel donde los estudiantes escriben instrucciones sencillas para que otro estudiante navegue por un laberinto. Las instrucciones se dibujan en el laberinto como comandos (si el cuadrado es rojo, gire a la derecha, etc.) y luego los estudiantes intercambian papeles para navegar por el laberinto siguiendo solamente los comandos. Esta es una actividad preliminar para la actividad de codificación de las tortugas chocadoras.

Battle of the Agents

A take on the classic board game Battleship, this paper and pencil activity is a fun way to help students understand the use of x and y coordinates in StarLogo Nova. After the activity, students can use the StarLogo Nova model to experiment with x and y locations in a game-like context.

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

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).

Dengue outbreak simulation

This model simulates the transmission of the dengue virus in a neighborhood of four blocks during 180 (one hundred and eighty) days. The vector of the virus is the mosquito Aedes egyptii. The simulation shows a chart of the evolution of the outbreak (the change in the number of healthy people and infected people), another graph with the evolution of the mosquito population and some monitors that indicate the state of the mosquito population and how many people were infected.

Simulación de un brote de Dengue

Este modelo simula la transmisión del virus del dengue en un barrio de cuatro manzanas durante 180 días. El vector del virus es el mosquito Aedes egyptii. La simulación muestra un gráfico con la evolución del brote (el cambio en la cantidad de personas sanas y de personas infectadas), otro gráfico con la evolución de la población de mosquitos y unos monitores que indican el estado de la población de mosquitos y cuántas personas fueron infectadas.

Prisoner's Dilemma (Tit for Tat)

A participatory simulation where partners examine strategies of cooperation versus individual gain. Based on the game theory activity of Prisoner's Dilemma, this activity introduces students to the contrast between theories of "Tragedy of the Commons" (individuals maximizing their own gain will result in collapse of the resources) and classic economic theory (maximum individual gain will lead to greatest efficiency).

Decoding a model

Decoding a model is an on computer activity in which students are challenged to decode a model.