Complete for freeAbsolute beginnerBrowser simulator included

Course 1

Computational Thinking and Coding Logic

Learn to decompose problems, design precise algorithms, trace decisions, and debug logic without needing prior coding experience. The course combines structured lessons, guided browser concept simulations, and learner-created project files made with freely installable or open tools described in the course instructions. This guided page does not execute code, train models, run databases, create repositories, access hardware, or provide hosted infrastructure.

Free completion promise: The always-free pathway combines guided browser concept simulations with learner-created planning files. The simulator does not execute code or replace project software.

Before you begin

Requirements & setup for Computational Thinking and Coding Logic

Start with the complete free pathway below. Hardware, subscriptions, paid APIs, and cloud credits are never required.

Start here · free path

Your complete $0 setup

The always-free pathway combines guided browser concept simulations with learner-created planning files. The simulator does not execute code or replace project software.

$0 required

Setup checklist

0 of 6 complete

This checklist is a temporary setup aid and resets when the page reloads. Saved course progress begins in the setup lessons below.

  1. Use the browser-based tools and simulations throughout this course. Paid software, APIs, cloud credits, GPUs, and physical equipment are optional.

    About 2 min

  2. Open the concept simulator and read its scenario, assumptions, and limitations.

    About 5 minOpen C4T Algorithm Concept Simulator (opens in a new tab)

  3. Make a prediction, adjust the available controls, and compare the result with the explanation.

    About 5 min

  4. Record what changed and why; repeat with at least one different input.

    About 5 min

  5. For applied work, follow the course instructions to create and keep your own project files with a freely installable or open tool appropriate to the subject.

    About 5 min

  6. C4T Algorithm Concept Simulator: Complete one prediction-and-explanation cycle and record the evidence you would carry into a learner-created project file.

    About 5 min

Software

1 item

C4T Algorithm Concept Simulator

A free browser concept simulator with adjustable values, a prediction prompt, deterministic feedback, and a short explanatory trace. This guided page does not execute code, train models, run databases, create repositories, access hardware, or provide hosted infrastructure.

Course need
C4T Algorithm Concept Simulator
Free

A free browser concept simulator with adjustable values, a prediction prompt, deterministic feedback, and a short explanatory trace. This guided page does not execute code, train models, run databases, create repositories, access hardware, or provide hosted infrastructure. Use keyboard controls and the text trace or written alternative when a visual or pointer interaction is not suitable.

  1. Open the concept simulator and read its scenario, assumptions, and limitations.
  2. Make a prediction, adjust the available controls, and compare the result with the explanation.
  3. Record what changed and why; repeat with at least one different input.
  4. For applied work, follow the course instructions to create and keep your own project files with a freely installable or open tool appropriate to the subject.
Open C4T Algorithm Concept Simulator (opens in a new tab)

Hardware

Nothing required

No physical hardware is needed for this course.

Accounts

Nothing required

No external account is needed for this course.

What you will be able to do

Learning outcomes

  • Turn an unclear problem into goals, inputs, constraints, and testable steps.
  • Use sequence, repetition, state, and decisions to describe algorithms.
  • Trace behavior and repair logical errors using evidence.
  • Compare multiple valid solutions for clarity and efficiency.

Included downloads

Free starter assets

Original · synthetic · licensed

These small files contain no personal data, credentials, or secrets. Dataset fixtures are CC0 and starter code is MIT licensed.

Starter pack guide & licensesSee what each original synthetic dataset, fixture, and starter file contains.

Build real work

Assignments & capstone

Free tools accepted

Everyday algorithm repair

Audit a flawed everyday procedure, expose ambiguous steps and edge cases, then submit a tested revision.

The always-free pathway combines guided browser concept simulations with learner-created planning files. The simulator does not execute code or replace project software. Submit a project file, text trace, screenshots with descriptions, or equivalent simulator evidence.

Strategy comparison lab

Compare two maze, search, or sort strategies using the same inputs and an evidence table.

The always-free pathway combines guided browser concept simulations with learner-created planning files. The simulator does not execute code or replace project software. Submit a project file, text trace, screenshots with descriptions, or equivalent simulator evidence.

Final assessment

Design and defend a complete algorithm

Create and test an algorithm for a maze, puzzle, sorting task, or real-world process, then explain its inputs, outputs, sequence, decisions, repetition, edge cases, and results. Deliverables: Plain-language algorithm, Visual trace or decision diagram, Normal and edge-case test results, Comparison with one alternative, and Reflection on revisions.

Prerequisites & pacing

Skills assumed

  • None

Recommended prior courses

None — this course is a starting point.

Choose your pace

  • self paced: 6 weeks at 3 hours per week
  • weekly: 6 weeks at 3 hours per week

Part of these learning paths

Course created by Zafir Shamsi.