Core Algorithms
Core Algorithms is a curriculum strand within Algorithms — a thread that runs across grades and deepens each year.
Entity profile
Every node stores the same attribute set, which is why the hierarchy can grow without new templates.
Strand
Depth 2 in the graph
computer-science/algorithms/core-algorithms
8,944
48 topics · 1,440 concepts · 7,200 micro-concepts
Units
Every unit below is a full entity with its own skills, objectives, misconceptions and resource set.
Core Algorithms: Building Blocks
Core Algorithms: Building Blocks is a unit of teaching within Core Algorithms, usually two to four weeks of lessons with one assessment point.
Core Algorithms: Methods
Core Algorithms: Methods is a unit of teaching within Core Algorithms, usually two to four weeks of lessons with one assessment point.
Core Algorithms: Problem Solving
Core Algorithms: Problem Solving is a unit of teaching within Core Algorithms, usually two to four weeks of lessons with one assessment point.
Core Algorithms: Review
Core Algorithms: Review is a unit of teaching within Core Algorithms, usually two to four weeks of lessons with one assessment point.
Skills and learning objectives
Skills hang off the entity; objectives hang off the skill; activities and assessment hang off the objective.
Explain core algorithms
UnderstandExplain core 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 core 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 core algorithms using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Calculate core algorithms
ApplyCalculate core 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 core algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Compare core algorithms
AnalyseCompare core 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 core 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 core algorithms using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Justify core algorithms
EvaluateJustify core 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
Justify core algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Semantic relationships
Prerequisite and related edges are what make this a graph rather than a menu.
Misconceptions
Stored on the entity so worksheets, quizzes and lesson plans all target the same known errors.
Learners over-generalise a special case of core algorithms to every situation.
Correction — Present a deliberate non-example and ask why the rule fails.
Students treat core algorithms as a rule to memorise rather than a relationship to understand.
Correction — Anchor the rule in a visual model first, then abstract it — the model is the explanation.
Curriculum alignment
Curricula, boards and countries are data — adding one never changes the architecture.
FBI-676.1
Mapped statement covering Core Algorithms.
COM-856.2
Mapped statement covering Core Algorithms.
What comes next
Curriculum order is an edge in the graph, so every entity knows the step that follows it.
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.
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.
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
Core 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 explanationCore Algorithms 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 Core Algorithms resources
Every format below is a free, standalone page generated from this entity — 53 of them, all interlinked.
- Free Core Algorithms lessons
- Free Core Algorithms lesson plans
- Free Core Algorithms explanations
- Free Core Algorithms worked examples
- Free Core Algorithms real life examples
- Free Core Algorithms common mistakes
- Free Core Algorithms video lessons
- Free Core Algorithms worksheets
- Free Core Algorithms printable worksheets
- Free Core Algorithms interactive worksheets
- Free Core Algorithms homework worksheets
- Free Core Algorithms revision worksheets
- Free Core Algorithms word problems
- Free Core Algorithms practice tests
- Free Core Algorithms flashcards
- Free Core Algorithms study notes
- Free Core Algorithms revision notes
- Free Core Algorithms cheat sheets
- Free Core Algorithms formula sheets
- Free Core Algorithms mind maps
- Free Core Algorithms vocabulary lists
- Free Core Algorithms quizzes
- Free Core Algorithms timed quizzes
- Free Core Algorithms adaptive quizzes
- Free Core Algorithms mcqs
- Free Core Algorithms true or false questions
- Free Core Algorithms fill in the blanks
- Free Core Algorithms matching exercises
- Free Core Algorithms short questions
- Free Core Algorithms long questions
- Free Core Algorithms question banks
- Free Core Algorithms exam questions
- Free Core Algorithms past paper questions
- Free Core Algorithms solved past papers
- Free Core Algorithms mock exams
- Free Core Algorithms activities
- Free Core Algorithms stem activities
- Free Core Algorithms experiments
- Free Core Algorithms games
- Free Core Algorithms projects
- Free Core Algorithms case studies
- Free Core Algorithms homework
- Free Core Algorithms assignments
- Free Core Algorithms reading comprehension
- Free Core Algorithms writing prompts
- Free Core Algorithms spelling practice
- Free Core Algorithms grammar practice
- Free Core Algorithms teacher guides
- Free Core Algorithms parent guides
- Free Core Algorithms ai tutor sessions
- Free Core Algorithms practice sessions
- Free Core Algorithms progress trackers
- Free Core Algorithms printables
Connected resources
30 resource types are generated for Core 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 Core Algorithms in the knowledge graph?
- 0 domains, 0 strands, 4 units, 12 chapters, 48 topics, 240 subtopics, 1,440 concepts and 7,200 micro-concepts — every one of them carrying its own worksheets, quizzes, flashcards, lesson plans and AI tutoring.
- What should a learner already know before Core Algorithms?
- The graph lists Foundations of Algorithms as prerequisites. Each links to its own practice so a gap can be closed before moving on.
- Which grades is Core 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 Core Algorithms one-to-one with a tutor who can see exactly where the gap is.
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