Foundation of Computer Science Grade 5

Duration

10 Months

Prerequisites

Student Must Have Completed Grade 4

Requirements

None

Course Summary

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 being upstanding. 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.

MAJOR TOPICS AND CONCEPTS

Major Topics and Concepts

Segment One

Module 01 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 02 Tech Essentials

·       Computer hardware: internal and external

·       Data flow

·       Data encoding

·       Data encapsulation

·       Global Network Infrastructure

·       Hardware troubleshooting basics

·       Information processing cycle

·       Network communication standards

·       Network connectivity

·       Network troubleshooting basics

·       Software troubleshooting basics

·       Troubleshooting basics

·       Word processor usage

Module 03 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

·       Intellectual property rights

·       Iterative design

·       Media literacy and source validation

·       Open licensing and public domain

·       Peer review

·       Plagiarism and consequences

·       Problem-solving process

·       Teamwork and collaboration

Segment Two

Module 04 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 05 Database Discoveries

·       Correlation and pattern recognition

·       Data accuracy and detail

·       Data acquisition

·       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 06 Intelligent Tools and Rules

·       Artificial intelligence (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

Course Assessment and Participation Requirements: To achieve success, students are expected to submit work in each course weekly. Students can learn at their own pace; however, "any pace" still means that students must make progress in the course every week. To measure learning, students complete self-checks, practice lessons, multiple-choice questions, projects, Discussion-Based Assessments, and discussions. Students and families are expected to maintain regular contact with teachers because when teachers, students, and parents or guardians work together, students are successful.

How Foundation of Computer Science Grade 5 supports student success

In Foundation of Computer Science Grade 5, students build subject knowledge through structured online lessons, guided practice, and regular feedback from qualified teachers. The course supports flexible study while maintaining clear academic expectations and steady progress.

Students can revisit learning materials, complete assignments at a manageable pace, and use teacher guidance to strengthen understanding. Families can follow progress while learners develop organization, independent study habits, and confidence.

  • Clear learning goals connect each lesson to the wider course.
  • Activities and assignments help students apply important concepts.
  • Assessments and teacher feedback identify strengths and next steps.
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