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Code.org and SLNova Computer Science Concepts

This is a 4 week unit for a Computer Technology class in a middle school. Students are introduced to computer science concepts through lessons in Code.org's Course 3. Students then apply those concepts in SLNova projects.

Battleship activity in StarLogo Nova

This activity uses the idea of the classic "battleship" game to review x and y coordinates in StarLogo Nova.  Students do a pen and paper simulation of the game, and then use a base model in StarLogo Nova to review the coordinates.

Swords and Shields

Swords and Shields is an interactive simulation game which teaches students some of the basic ideas of complex adaptive systems. After playing, you can show the students a model of the game in StarLogo TNG or StarLogo Nova to discuss basic concepts of agent-based modeling. Try it, it's fun! See also the variation to this activity in Resources, and see the related activity of TryAngles.

Walk & Turn for StarLogo TNG

In this activity, students will participate in an activity called “Walk & Turn”, will see a computer model based on the same activity. Of particular interest is the interleaving of activity types; live off-line activities and computer simulations, and the juxtaposition of real and virtual worlds. Following the activity students will use the CAST to analyze the activity as a complex adaptive system. For this activity using StarLogo Nova, see CS in Science, Module 1.

Painted Turtles for StarLogo TNG

An fun introductory coding activity in StarLogo TNG using the random blocks, which demonstrates the power of parallel programming by simultaneously using many turtles to create patterns on the screen. For StarLogo Nova, see this activity in CS in Science, Module 1.

What are the chances?

This activity to explore randomness and how to program percent chance in StarLogo Nova.

Random Walks with code blocks for StarLogo Nova

Modeling the movement of agents (people,molecules, cars or ideas) is an important part of modeling systems. Different agents will have varying amount of randomness in their “walks” which can have an impact on systems. In this activity, students will apply the concept of randomness to a simple StarLogo program in which the agents will use ‘random’ blocks to ‘wiggle’ as they move around SpaceLand. This programming activity follows the ‘What are the Chances?" activity.

Bumper Turtles for StarLogo TNG

A coding activity to introduce students to conditional logic -- this version follows the "Pixelated Paths" activity and builds the model in Star Logo TNG. 

Math Challenges in StarLogo TNG

This activity reviews the use of angles, heading, x, y, and z coordinates, and random ranges in StarLogo TNG. It corresponds to the coding challenges for StarLogo Nova (see related link). .

Decoding a model

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

Sugar Transport Activity

Have you ever drank a can of soda and suddenly felt more energetic? In this Biograph Virtual Lab, you will use a simulation to explore how the glucose molecules from the soda move from the lumen of your small intestine, across the membranes of your epithelial cells, and into your bloodstream. (Ultimately, the glucose in your bloodstream will move into your body’s cells).

Project GUTS MOOC

Project GUTS presented the CS in Science curriculum modules in a Massive Open Online Course (MOOC). The links below will allow you access to the original MOOC site, to see not only the written curriculum but also screencasts of building the related StarLogo Nova models and other background information for teachers and facilitators. The MOOC was also translated in Spanish (see link below).

For the 2017 course, please go to guts-2017.appspot.com

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.

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.

Pond Ecosystem Biograph project

Ecosystems are made up of interacting, interdependent parts, which are always interacting with and changing each other. Healthy ecosystems are long-lasting. In a long-lasting ecosystem the number of plants and animals may increase and decrease over time, but there are always enough individuals to reproduce and establish the next generation. In this Biograph Virtual Lab your challenge is to build a model of a long-lasting, healthy pond ecosystem using Toolblox programming blocks.

Evolution Curriculum from BioGraph

Evolution is a change in genetic information in a population that is observed over many generations, due to the random chance survival and reproduction of particular individuals. In this BioGraph Virtual Lab, you will observe how a population of fish in a pond changes over time. By the end of this activity, you will understand how random factors (genetic drift) and non-random factors (natural selection) contribute to evolution.

Enzymes: Chew on This!

Carbohydrates in food are an important source of energy for the body. When you eat starch, it must be broken down into simple sugars before your body can use it for energy. In this Biograph Virtual Lab you will use a simulation to explore the breaking down of starch into sugar. The simulation will enable you to compare and contrast the conversion of starch to sugar both with and without enzymes. This will help you understand the role of enzymes in digestion.

Gene Regulation and Protein Synthesis

Every cell in your body has a full set of genes, or ‘recipes,’ to build many different kinds of proteins (including enzymes). What causes a gene to go from its normal ‘turned off’ state (when it IS NOT building proteins) to its ‘turned on’ state (when it IS building proteins)?  To answer this question, we will zoom in and take a closer look at a gene and its environment to see how and why a specific protein is made.  

An example resource