Aims and Objectives

The overall curriculum aims of the Mathematics Education Key Learning Area are to develop in students:
  • the ability to think critically and creatively, to conceptualise, inquire and reason mathematically, and to use mathematics to formulate and solve problems in daily life as well as in mathematical contexts and other disciplines;
  • the ability to communicate with others and express their views clearly and logically in mathematical language;
  • the ability to manipulate numbers, symbols and other mathematical objects;
  • number sense, symbol sense, spatial sense, measurement sense and the capacity to appreciate structures and patterns;
  • a positive attitude towards the learning of mathematics and an appreciation of the aesthetic nature and cultural aspects of mathematics.

Department Members

Department Head

Mr. Cheuk DTW

Deputy Department Head

Ms. Fung HT


Ms. Chan YWA, Ms. Chan YYK, Mr. Lau HL,

Mr. Leung YC, Mr. Tang WK, Ms. Yip YH, Mr. Yu YT

Curriculum (Junior Form)

Number and Algebra Dimension
A.  Number and Number Systems
  • Directed Numbers and the Number Line
  • Numerical Estimation
  • Approximation and Errors
  • Rational and Irrational Numbers
B.  Comparing Quantities
  • Using Percentages
  • More about Percentages
  • Rate and Ratio
C.  Observing Patterns and Expressing Generality
  • Formulating Problems with Algebraic Language
  • Manipulations of Simple Polynomials
  • Laws of Integral Indices
  • Factorization of Simple Polynomials 
D.  Algebraic Relations and Functions
  • Linear Equations in One Unknown
  • Linear Equations in Two Unknowns
  • Identities
  • Formulas
  • Linear Inequalities in One Unknown
Measures, Shape and Space Dimension
A.  Measures in 2D and 3D figures
  • Estimation in Measurement
  • Simple Idea of Areas and Volumes 
  • More about Areas and Volumes
B.  Learning Geometry through an Intuitive Approach
  • Introduction to Geometry
  • Transformation and Symmetry
  • Congruence and Similarity
  • Angles Related with Lines and Rectilinear Figures
  • More about 3-D
C.  Learning Geometry through a Deductive Approach
  • Simple Introduction to Deductive Geometry
  • Pythagoras' Theorem
  • Quadrilaterals
D.  Learning Geometry through an Analytic Approach 
  • Introduction to Coordinates
  • Coordinates Geometry of Straight Lines
E.  Trigonometry
  • Trigonometric Ratios and Using Trigonometry
Data Handling Dimension
A.  Organization and Presentation of Data
  • Introduction to Various Stages of Statistics
  • Construction and Interpretation of Simple Diagrams and Graphs
B.  Analysis and Interpretation of Data
  • Measures of Central Tendency
C.  Probability
  • Simple Idea of Probability

Curriculum (Senior Form)

Compulsory Part
A.  Number and Algebra Strand
  • Quadratic equations in one unknown
  • Functions and graphs
  • Exponential and logarithmic functions
  • More about polynomials
  • More about equations
  • Variations
  • Arithmetic and geometric sequences and their summations
  • Inequalities and linear programming
  • More about graphs of functions
B.  Measures, Shape and Space Strand
  • Equations of straight lines
  • Basic properties of circles
  • Loci
  • Equations of circles
  • More about trigonometry
C.  Data Handling Strand
  • Permutations and combinations
  • More about probability
  • Measures of dispersion
  • Uses and abuses of statistics
D.  Further Learning Unit
  • Further applications
  • Inquiry and investigation
Extended Part Module 1 (Calculus and Statistics)
A.  Foundation Knowledge
  • Binomial expansion
  • Exponential and logarithmic functions
B.  Calculus
  • Derivative of a function
  • Differentiation of a function
  • Second derivative
  • Applications of differentiation
  • Indefinite integration and its applications
  • Definite integration and its applications
  • Approximation of definite integrals using the trapezoidal rule
C.  Statistics
  • Conditional probability and Bayes' theorem
  • Discrete random variables
  • Probability distribution, expectation and variance
  • The binomial distribution
  • The Poisson distribution
  • Applications of the binomial and the Poisson distributions
  • Basic definition and properties of the normal distribution
  • Standardisation of a normal variable and use of the standard normal table
  • Applications of the normal distribution
  • Sampling distribution and point estimates
  • Confidence interval for a population mean
D.  Further Learning Unit
  • Inquiry and investigation
Extended Part Module 2 (Algebra and Calculus)
A.  Foundation Knowledge
  • Odd and even functions
  • Mathematical induction
  • The binomial theorem
  • More about trigonometric functions
  • Introduction to e
B.  Calculus
  • Limits
  • Differentiation
  • Applications of differentiation
  • Indefinite integration and its applications
  • Definite integration
  • Applications of definite integration
C.  Algebra
  • Determinants
  • Matrices
  • Systems of linear equations
  • Introduction to vectors 
  • Scalar product and vector product
  • Applications of vectors
D.  Further Learning Unit
  • Inquiry and investigation 


Paper Tower Competition

Rummikub Competition

Form 1 Magic 24 Competition


A series of interesting mathematics activities were held during STEM Week.