AI & Computer Science Curriculum

Comprehensive learning paths from elementary to professional level. Choose your level to explore the curriculum tailored for you.

Elementary School (Ages 7-11)

Foundation through Play & Exploration

Topics Covered:

  • Pattern recognition through Minecraft builds
  • Sequencing with Scratch Jr story creation
  • Decomposition: Breaking down problems into steps
  • Debugging basics: Finding and fixing mistakes
  • Algorithmic thinking with board games and puzzles

Projects:

  • Create a Minecraft redstone circuit to automate a door
  • Build a simple animation in Scratch showing a day cycle
  • Design a maze and write step-by-step instructions to solve it

Topics Covered:

  • Sprites, costumes, and backdrops
  • Motion, looks, and sound blocks
  • Events and control structures (loops, conditionals)
  • Variables and simple data collection
  • Creating interactive stories and games

Projects:

  • Interactive story with branching choices
  • Simple catching game with score tracking
  • Virtual pet that responds to interactions

Topics Covered:

  • Counting and categorizing blocks
  • Creating bar graphs of resources collected
  • Tracking time spent on activities
  • Comparing different biomes (temperature, resources)
  • Making predictions about spawn rates

Projects:

  • Build a Minecraft world census: count all animals
  • Create a physical bar graph showing ore distribution
  • Design an experiment: which crop grows fastest?

Topics Covered:

  • Boolean logic with Minecraft redstone
  • AND, OR, NOT gates in simple terms
  • Cause and effect relationships
  • Building simple machines and contraptions
  • Introduction to sensors and automation

Projects:

  • Redstone door with combination lock
  • Automatic farm with redstone
  • Create a working calculator in Minecraft

Curriculum Notes:

  • Curriculum can be adjusted based on student pace, topic interest, or prior knowledge
  • Projects are designed to be portfolio-worthy and demonstrate practical skills
  • Each level builds on concepts from previous levels where applicable
  • Adult curriculum aligns with top CS programs (MIT, Stanford, CMU standards)
  • All courses include hands-on projects, real-world applications, and personalized mentorship