Computational Thinking
Algorithms, decomposition, patterns and debugging mindset.
Algorithms, decomposition, patterns and debugging mindset.
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Develop computational thinking from visual logic to Python and JavaScript through challenges, apps and creative coding projects.
Click visual to enlargeClick each module card to open more detail. Every module combines guided learning, practice, creation and review.
Algorithms, decomposition, patterns and debugging mindset.
Events, loops, variables, conditions and interactive projects.
Syntax, input/output, decisions, loops, functions and lists.
Mini challenges, data handling and reusable functions.
Browser logic, events and simple interactive web behavior.
Plan, code, test, document and present an original application.
A project-led learning path. Each month finishes with a concrete artifact students can add to their portfolio.
Algorithms + puzzles
Visual coding
Core Python
Functions + data
JavaScript basics
Capstone + documentation
The visual skill map shows curriculum emphasisβnot a student grade. The capstone turns those skills into one showcase-ready outcome.
Create an original coding projectβgame, quiz, calculator, learning tool or simple web appβwith documented logic and testing.
Students learn through guided challenges, teamwork, experimentation and a final showcase rather than lecture-only study.
Recommended rhythm: 2 sessions per week β’ 2 hours per session. Suggested mix: 20% concept, 20% demonstration, 40% hands-on building, 20% project review.
Complete the learning modules, project reviews and final showcase to qualify for the track completion certificate and portfolio record.
Ask about enrollment, class schedules, age placement and the right Creator Track for your goals.
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