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Elementary Elementary Foundations of Computer Science Grade 5

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  • N NCAA Eligible
  • H Honors Available
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Suggested Prerequisites

N/A

Description

In Foundations of Computer Science Grade 5, the Pixel Pals and their good friend Chuck will guide students through the exciting world where computer science meets math. They'll become experts at collaborating online and navigating the internet safely, learning to recognize cyberbullying and to be upstanders. Students will dig into computer parts, sharpen their keyboarding skills, and even learn to code and fix their own programs! They'll also become master problem-solvers by analyzing data, understanding how technology empowers different careers, and learning to respect copyright when using online resources.

Module One: Digital Life Lab

-Collaborative project roles 

-Constructive feedback 

-Cyberbullying 

-Cybersecurity 

-Data privacy and personal security 

-Digital citizenship and responsibility 

-Digital footprint 

-Digital wellness 

-Ergonomics and healthy habits 

-Iterative design process 

-Keyboarding skills 

-Online collaboration 

-Parental controls 

-Search engine safety 

-Search engine skills 

-User-centered refinement 


Module Two: Tech Essentials

-Computer hardware: internal and external

-Data flow

-Data encoding

-Data encapsulation

-Global network infrastructure

-Hardware troubleshooting basics

-Information processing cycle

-Keyboarding skills

-Keyboard shortcuts

-Network communication standards

-Network connectivity

-Network troubleshooting basics

-Software troubleshooting basics

-Troubleshooting basics

-Word processor usage


Module Three: Research Ready

-Accessibility

-Attribution and citation

-Copyright law

-Creative and iterative design

-Digital content creation tools: presentation, word processors, and more.

-Digital research

-Functional team roles

-Information verification and credibility

-Intellectual property

-Iterative design

-Media literacy and source validation

-Open licensing and public domain

-Peer review

-Plagiarism and consequences

-Problem-solving process

-Teamwork and collaboration

 

Module Four: Coding Command Center

-Algorithmic analysis

-Algorithmic logic and sequencing

-Block-based coding program construction

-Block-based coding programming logic and constructs

-Creative adaptation

-Creative adaptation: remix and reuse

-Debugging

-Decomposition

-Iterative design process

-Program documentation and commenting

-Simulations

-Systemic automation and efficiency

-Visual logic mapping and schematics


Module Five: Database Discoveries

-Correlation and pattern recognition

-Data accuracy and detail

-Data acquisition

-Data analytics and interpretations

-Data lifecycle management

-Data manipulation and management

-Data narratives and visual models

-Data organization and categorization

-Data representation and visualization

-Data structures

-Database design and architecture

-Databases

-Digital storage capacity and scale

-Predictive modeling and forecasting

-Statistical inference and predictive modeling

-Types of data


Module Six: Intelligent Tools and Rules

-AI Literacy and output verification

-Accessibility and usability

-Artificial intelligence constraints and boundaries

-Artificial intelligence fundamentals

-Attribution and citation

-Careers in technology

-Data-driven intelligence

-Digital citizenship and responsibility

-Digital media technologies

-Ethical content transformation and synthesis

-Future technological trends

-Intellectual property  

-Legal and ethical implications of digital piracy

-Machine learning and pattern recognition

-Smart devices

-Societal and global technological impact

-Source verification and credibility