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General Information

Number: SC.912.CS-CS.1

Title: Modeling and simulations

Type: Standard

Subject: Science

Grade: 912

Body of Knowledge: Computer Science - Communication Systems and Computing

Related Benchmarks

This cluster includes the following benchmarks

Code	Description
SC.912.CS-CS.1.1:	Analyze data and identify real-world patterns through modeling and simulation.
SC.912.CS-CS.1.2:	Formulate, refine, and test scientific hypotheses using models and simulations.
SC.912.CS-CS.1.3:	Explain how data analysis is used to enhance the understanding of complex natural and human systems.
SC.912.CS-CS.1.4:	Compare techniques for analyzing massive data collections.
SC.912.CS-CS.1.5:	Represent and understand natural phenomena using modeling and simulation.

Related Resources

Vetted resources educators can use to teach the concepts and skills in this topic.

Lesson Plans

Name	Description
Concussion Risk Simulator Part 3:	Students will program a simulation or model to demonstrate how technology and public policy influence the response to sports-related head injuries using Scratch in this integrated lesson. This is the third lesson in a series of three where students will explore the influence of public policy and technology on the identification and response to concussions among athletes. In part 1, students conducted research to discover the dangers associated with concussions, identify legislation and public policy aimed at mitigating the risks of sports-related head injuries, and explore different ways technology can be used to prevent, diagnose, and assess concussions among athletes. In part 2, students developed an algorithm for their simulation or model and illustrated it using a flowchart, which they will use to assist them as they code the program in part 3.
Lesson 4: Interannual Variability- El Nino & La Nina:	This lesson covers: •The El Niño-Southern Oscillation cycle •How El Niño/La Niña events affect Florida •How El Niño/La Niña events affect productivity off the coast of Peru
Lesson 1: Introduction to Oceanography & Remote Sensing:	This lesson covers: •How the ocean moves and why it is important to all life on Earth •Different geologic features in the ocean and how they impact currents •How the Earth and ocean are studied by satellites and remote sensing •How to use a web based program to interpret real world satellite data
Lesson 2: Currents and Temperature:	This lesson covers: How wind influences ocean currents How currents transport heat and water around the world Florida specific currents and oceanography How currents connect the world’s climate
What Are the Chances?:	Students will develop a program to simulate repeated rolls of a pair of dice in this lesson plan. They will program a realistic interaction between the user and the simulation as well as an analysis tool to identify the theoretical probability and track the observed probability for each outcome.

Perspectives Video: Experts

Name

Description

fMRI, Phantom Limb Pain and Statistical Noise:

Jens Foell discusses how statistical noise reduction is used in fMRI brain imaging to be able to determine which specifics parts of the brain are related to certain activities and how this relates to patients that suffer from phantom limb pain.

Using Mathematics to Optimize Wing Design:

Nick Moore discusses his research behind optimizing wing design using inspiration from animals and how they swim and fly.

Download the CPALMS Perspectives video student note taking guide.

Perspectives Video: Professional/Enthusiasts

Name	Description
Asymptotic Behavior in Shark Growth Research:	Fishery Scientist from Florida State University discusses his new research in deep sea sharks and the unusual behavior that is found when the data is graphed. Download the CPALMS Perspectives video student note taking guide.
Slope and Deep Sea Sharks:	Shark researcher, Chip Cotton, discusses the use of regression lines, slope, and determining the strength of the models he uses in his research. Download the CPALMS Perspectives video student note taking guide.
Camera versus Trap Sampling: Improving how NOAA Samples Fish :	Underwater sampling with cameras has made fishery management more accurate for NOAA scientists.