Algorithms
Algorithms is a major domain within Computer Science, grouping the strands that share the same underlying ideas and methods.
Entity profile
Every node stores the same attribute set, which is why the hierarchy can grow without new templates.
Domain
Depth 1 in the graph
computer-science/algorithms
35,780
192 topics · 5,760 concepts · 28,800 micro-concepts
Strands
Every strand below is a full entity with its own skills, objectives, misconceptions and resource set.
Foundations of Algorithms
Foundations of Algorithms is a curriculum strand within Algorithms — a thread that runs across grades and deepens each year.
Core Algorithms
Core Algorithms is a curriculum strand within Algorithms — a thread that runs across grades and deepens each year.
Applied Algorithms
Applied Algorithms is a curriculum strand within Algorithms — a thread that runs across grades and deepens each year.
Algorithms in Assessment
Algorithms in Assessment is a curriculum strand within Algorithms — a thread that runs across grades and deepens each year.
Skills and learning objectives
Skills hang off the entity; objectives hang off the skill; activities and assessment hang off the objective.
Identify algorithms
RememberIdentify algorithms accurately in a familiar context.
Activities — Modelled example on the board · Paired talk task · Mini whiteboard check
Assessment — Exit ticket of four short items
Identify algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Explain algorithms
UnderstandExplain algorithms accurately in a familiar context.
Activities — Modelled example on the board · Paired talk task · Mini whiteboard check
Assessment — Exit ticket of four short items
Explain algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Explain the reasoning behind algorithms using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Calculate algorithms
ApplyCalculate algorithms accurately in a familiar context.
Activities — Modelled example on the board · Paired talk task · Mini whiteboard check
Assessment — Exit ticket of four short items
Calculate algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Compare algorithms
AnalyseCompare algorithms accurately in a familiar context.
Activities — Modelled example on the board · Paired talk task · Mini whiteboard check
Assessment — Exit ticket of four short items
Compare algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Explain the reasoning behind algorithms using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Semantic relationships
Prerequisite and related edges are what make this a graph rather than a menu.
Entry point — nothing in this branch is required first.
Misconceptions
Stored on the entity so worksheets, quizzes and lesson plans all target the same known errors.
Confident students rush algorithms and skip the checking step.
Correction — Build in an estimate-before-solve routine so an unreasonable answer stands out.
Learners over-generalise a special case of algorithms to every situation.
Correction — Present a deliberate non-example and ask why the rule fails.
Curriculum alignment
Curricula, boards and countries are data — adding one never changes the architecture.
COM-965.1
Mapped statement covering Algorithms.
OCR-778.2
Mapped statement covering Algorithms.
What comes next
Curriculum order is an edge in the graph, so every entity knows the step that follows it.
Data Representation
Data Representation is a major domain within Computer Science, grouping the strands that share the same underlying ideas and methods.
Networks
Networks is a major domain within Computer Science, grouping the strands that share the same underlying ideas and methods.
Databases
Databases is a major domain within Computer Science, grouping the strands that share the same underlying ideas and methods.
Boolean Logic
Boolean Logic is a major domain within Computer Science, grouping the strands that share the same underlying ideas and methods.
Difficulty ladder
The same entity, six levels of demand — easy through to olympiad and exam level.
Scaffolded first attempt with worked support.
Standard curriculum demand, unscaffolded.
Multi-step questions and unfamiliar contexts.
Stretch tasks that need reasoning, not recall.
Competition-style problems built on the same idea.
Board-styled questions with mark schemes.
Learning intent
Not every visitor wants the same thing. Each intent routes to the resource that actually does that job.
Audience views
Algorithms in Grade 5, surfaced differently for each reader.
AI Tutor context chain
Open the tutor from here and it already knows where you are — this is the sequence it recommends.
- 01Prerequisite lessonFoundations of Algorithms
- 02Video explanationAlgorithms modelled end to end
- 03Interactive practiceAnswer on screen with instant checking
- 04QuizTen graded items with hints
- 05FlashcardsRetrieval on a 14-day schedule
- 06Common mistakesThe misconceptions stored on this node
- 07Harder worksheetSame concept, exam-level demand
- 08Past paper questionsBoard questions on this concept
- 09Mock testTimed, marked, with feedback
- 10Book a tutorOne-to-one on exactly this gap
Free Algorithms resources
Every format below is a free, standalone page generated from this entity — 53 of them, all interlinked.
- Free Algorithms lessons
- Free Algorithms lesson plans
- Free Algorithms explanations
- Free Algorithms worked examples
- Free Algorithms real life examples
- Free Algorithms common mistakes
- Free Algorithms video lessons
- Free Algorithms worksheets
- Free Algorithms printable worksheets
- Free Algorithms interactive worksheets
- Free Algorithms homework worksheets
- Free Algorithms revision worksheets
- Free Algorithms word problems
- Free Algorithms practice tests
- Free Algorithms flashcards
- Free Algorithms study notes
- Free Algorithms revision notes
- Free Algorithms cheat sheets
- Free Algorithms formula sheets
- Free Algorithms mind maps
- Free Algorithms vocabulary lists
- Free Algorithms quizzes
- Free Algorithms timed quizzes
- Free Algorithms adaptive quizzes
- Free Algorithms mcqs
- Free Algorithms true or false questions
- Free Algorithms fill in the blanks
- Free Algorithms matching exercises
- Free Algorithms short questions
- Free Algorithms long questions
- Free Algorithms question banks
- Free Algorithms exam questions
- Free Algorithms past paper questions
- Free Algorithms solved past papers
- Free Algorithms mock exams
- Free Algorithms activities
- Free Algorithms stem activities
- Free Algorithms experiments
- Free Algorithms games
- Free Algorithms projects
- Free Algorithms case studies
- Free Algorithms homework
- Free Algorithms assignments
- Free Algorithms reading comprehension
- Free Algorithms writing prompts
- Free Algorithms spelling practice
- Free Algorithms grammar practice
- Free Algorithms teacher guides
- Free Algorithms parent guides
- Free Algorithms ai tutor sessions
- Free Algorithms practice sessions
- Free Algorithms progress trackers
- Free Algorithms printables
Connected resources
30 resource types are generated for Algorithms automatically — the graph never produces an entity without them.
Concept Explanation
The idea itself, explained from first principles.
Lesson
A taught sequence with modelling and checks for understanding.
Real Life Examples
Where the idea shows up outside school.
Common Mistakes
The misconceptions and how to correct them.
AI Tutor
Socratic one-to-one practice on this exact idea.
Quiz
Graded retrieval with hints and explanations.
Question Bank
Every question filtered to this entity.
MCQs
Multiple choice items with distractor analysis.
True or False
Fast misconception checks.
Fill in the Blanks
Cloze items for vocabulary and method.
Matching
Pair terms, models and definitions.
Short Questions
One to three mark responses.
Long Questions
Extended responses with method marks.
Exam Questions
Board-styled questions and command words.
Past Papers
Authentic papers filtered to this entity.
Solved Papers
Full worked solutions and examiner notes.
Frequently asked
- What sits underneath Algorithms in the knowledge graph?
- 0 domains, 4 strands, 16 units, 48 chapters, 192 topics, 960 subtopics, 5,760 concepts and 28,800 micro-concepts — every one of them carrying its own worksheets, quizzes, flashcards, lesson plans and AI tutoring.
- What should a learner already know before Algorithms?
- This entity sits at the start of its chain, so there are no prerequisites inside this branch.
- Which grades is Algorithms taught in?
- Typically Grade 5, Grade 6, Grade 7, though every resource can be regenerated for any grade in the platform.
Related resources
Work through Algorithms one-to-one with a tutor who can see exactly where the gap is.
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