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HomeConcept libraryComputer ScienceAlgorithms and Search Foundations

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Follow the authored sequence, or switch to recap mode for a faster review of the same path.

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Starter track2 concepts2 checkpointsComputer Science46 min

Algorithms and Search Foundations

Not started

Start with sorting as visible work on a live list, then reuse the same list language to understand binary search as halving the search space.

Use this track when the new computer-science slice should stay compact and simulation-first. The path starts with sorting as a visible process, then carries that same bounded array language into binary search so the new subject feels like part of the same product rather than a detached coding demo.

Visible sorting workComparisons and writesOrdered-data searchHalving the interval

Entry diagnostic

Decide where to enter this path without opening a second testing system.

Reuse the sorting quick test and the binary-search challenge to decide whether to start from visible sorting work or jump straight into the ordered-search bench.

Start from beginning0 / 2 probes ready

Check the list-to-search bridge first

Start from beginning

No saved diagnostic checks are available yet, so the opening concept is still the best place to start.

Uses the same local-first quick tests, checkpoint challenges, and track history already saved in this browser.

Begin with Sorting and Algorithmic Trade-offs
  2. ChallengeNot started7 checks

    Binary-search checkpoint

    Use the halving challenge to verify that ordered data and shrinking intervals already feel concrete before you skip the opening concept.

    No saved checkpoint attempt yet.

    Binary search
    Open Find a far-right target fast

Why this order

The sequence is authored to keep the model honest.

Sorting and Algorithmic Trade-offs comes first because it turns the list itself into a live object with visible cost and disorder. Binary Search / Halving the Search Space then reuses that same list language while ordered data, low-mid-high markers, and interval shrinking explain why binary search is fast.

Shared concept pages

Each step opens the same simulation-first framework.

Compare mode, prediction mode, quick test, worked examples, guided overlays, challenge mode, and read-next cues stay on the concept pages. The track only decides the guided order and the next recommended stop.

Guided path

Follow the concepts and checkpoint moments in order.

Checkpoint cards reuse the authored challenge entries already living on the concept pages.

  1. 1Not startedMastery: NewStart here

    Sorting and Algorithmic Trade-offs

    Watch sorting as visible work on a live list so input order, comparisons, and writes stay concrete instead of collapsing into one final answer.

    Start here before moving into Binary Search / Halving the Search Space.

    Algorithms and SearchIntro24 min
    Start concept
  2. Checkpoint 1LockedNot started

    Sorting trade-off checkpoint

    Pause once the list and the counters make it clear why a nearly sorted case can reward insertion differently from a heavier bubble run.

    Finish Sorting and Algorithmic Trade-offs first. This checkpoint ties together Sorting trade-offs through Use insertion where it pays off.

    Pause here after Sorting and Algorithmic Trade-offs before moving into Binary Search / Halving the Search Space.

    Sorting trade-offs7 checksCoreGraph-linkedGuided start
    Return to Sorting trade-offsOpen concept
  3. 2Not startedMastery: New

    Binary Search / Halving the Search Space

    Keep an ordered list, the low-mid-high markers, and the shrinking interval visible together so binary search feels visual instead of procedural.

    Capstone step after Sorting and Algorithmic Trade-offs.

    Algorithms and SearchIntro22 min
    Open concept
  4. Checkpoint 2LockedNot started

    Binary-search checkpoint

    Finish by finding a far-right target quickly enough that halving the interval feels different from scanning one by one.

    Finish Binary Search / Halving the Search Space first. This checkpoint ties together Sorting trade-offs and Binary search through Find a far-right target fast.

    Final checkpoint that closes the authored track after Binary Search / Halving the Search Space.

    Sorting trade-offsBinary search7 checksCoreGraph-linkedGuided start
    Return to Binary searchOpen concept