By the end of this course, you will be able to think computationally, understand the hardware and software woven through your life, write real programs in Python — and reason about what technology is doing to the world, not just in it.
In the curriculum’s own words, the three big threads are:
A1. Computational Thinking, Planning, and Purpose
apply computational thinking concepts and practices, and use various tools and processes to plan and develop computational artifacts for a wide variety of contexts, users, and purposes
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B4. Innovations in Digital Technology
investigate current and emerging innovations in digital technology, including automation and artificial intelligence, and assess their benefits and limitations
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C2. Writing Programs
use fundamental programming concepts to write simple programs
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The full set — ten overall expectations and every specific one — lives in the Curriculum folder, and each task page links to exactly the expectations it addresses.
Put plainly, week to week that means:
- Think before the machine — break problems down, plan algorithms, and reason like a computer scientist, often before touching a keyboard.
- Build — from first program to a working artifact for a real user, with code others can read.
- Understand the world’s machinery — the hardware, networks, and AI systems everyday life now runs on.
- Question it — whose data, whose bias, and whose contributions — with evidence, not vibes.
- Grow visibly — your Dev Journal is where broken builds turn into evidence; see How Marks Work.