KS4/GCSE

YEAR 10

MATHS

Number & Proportion

  • Fractions, decimals, percentages (advanced)
  • Ratio and direct proportion
  • Surds (intro), indices laws

Algebra

  • Expanding & factorising complex expressions
  • Quadratic equations (solving & factorising)
  • Linear and quadratic graphs
  • Simultaneous equations
  • Rearranging complex formulas

Geometry & Measures

  • Trigonometry (SOHCAHTOA)
  • Pythagoras (advanced problems)
  • Constructions & loci
  • Circle theorems (intro)
  • Bearings, transformations

Statistics & Probability

  • Averages & spread
  • Representing data
  • Venn diagrams, probability laws

ENGLISH

English Language

  • Paper 1: Explorations in Creative Reading & Writing

  • Paper 2: Writers’ Viewpoints & Perspectives

  • Creative writing (narrative & descriptive)

  • Analytical responses to unseen fiction & non-fiction

  • Summary and comparison skills

English Literature

  • Shakespeare full play (e.g., Macbeth, Romeo & Juliet)
  • Modern text (e.g., An Inspector Calls, Blood Brothers)
  • Poetry anthology (power & conflict or love & relationships)
  • Introduction to unseen poetry
  • Essay writing: structure, theme, context

SCIENCE

Biology
  • Cell biology

  • Organisation (tissues, organs, enzymes, circulatory system)

  • Infection & response

  • Bioenergetics (photosynthesis, respiration)

Chemistry
  • Atomic structure

  • The periodic table

  • Bonding & structure

  • Chemical changes (electrolysis, reactivity series)

  • Energy changes in reactions

Physics
  • Energy stores & systems

  • Electricity: circuits, resistance, power

  • Particle model of matter

  • Radioactivity (intro)

COMPUTER SCIENCE

Computing Theory
  • System architecture (CPU, memory, cache, registers)

  • Embedded systems

  • Networks (topologies, hardware, protocols, TCP/IP)

  • Cybersecurity (malware, threats, social engineering)

  • Legal & ethical issues

Programming & Algorithms
  • Python programming (input/output, loops, functions)
  • Data types & structures (arrays/lists)
  • Algorithms: sorting (bubble, merge intro), searching
  • Flowcharts, pseudocode
  • Defensive programming, validation
  • Computational thinking (abstraction, decomposition)

YEAR 11

MATHS

Algebra (Higher content included where appropriate)

  • Quadratic graphs & simultaneous equations (advanced)

  • Transformations of functions

  • Solving quadratic & cubic equations

  • Algebraic fractions

  • Inequalities (including regions)

  • Sequences (quadratic, geometric)

Geometry & Measures

  • Circle theorems (full set)

  • Similarity & congruence

  • Advanced trigonometry (sine/cosine rule, area of triangle)

  • Vectors

Statistics & Probability

  • Histograms & cumulative frequency

  • Tree diagrams

  • Conditional probability

Exam Preparation  Problem-solving, mixed-topic exam practice

ENGLISH

English Language

  • Full exam practice for Papers 1 & 2

  • High-level analysis of unseen texts

  • Extended creative writing pieces

  • Comparison of writers’ viewpoints

English Literature

  • 19th-century novel (e.g., Jekyll & Hyde, A Christmas Carol)
  • Poetry anthology (full revision)
  • Unseen poetry (comparison)
  • Shakespeare & Modern Text revision
  • Exam essays with timed practice

SCIENCE

Biology
  • Homeostasis & response

  • Inheritance, variation & evolution

  • Ecology

  • Triple-only extensions: monoclonal antibodies, antibiotics, plant hormones

Chemistry
  • Quantitative chemistry (moles, concentration)

  • Chemical analysis

  • Rates of reaction

  • Organic chemistry (alkanes, alkenes, polymers)

  • Earth’s resources & atmosphere

Physics
  • Forces (Newton’s laws, motion graphs)

  • Waves (sound, electromagnetic spectrum)

  • Magnetism & electromagnetism

  • Space physics (Triple only)

  • Energy revision (efficiency, changes, heating)

COMPUTER SCIENCE

Computing Theory
  • Boolean logic & logic gates

  • Data representation (binary, hex, images, sound, compression)

  • Secondary storage

  • Ethical, moral & legal impacts

  • Network security (advanced)

Programming & Algorithms
  • Advanced Python: structures, subroutines, files

  • Testing & debugging

  • Algorithm efficiency

  • Exam pseudocode preparation

  • Larger-scale programming project (non-assessed but required practice)

Exam Preparation

Paper 1: Computational thinking & programming

Paper 2: Computer systems theory

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