Mathematics T syllabus  Mathematics T syllabus

Content
1.Numbers and sets
2.Polynomials
3.Sequences and series
4.Matrices
5.Coordinate geometry
6.Functions
7.Differentiation
8.Integration
9.Differential equations
10.Trigonometry
11.Deductive geometry
12.Vectors
13.Data description
14.Probability
15.Discrete probability distributions
16.Continuous probability distributions

Form of Examination
The examination consists of two papers; the duration for each paper is 3 hours.
Candidates are required to take both Paper 1 and Paper 2.

Paper 1 (same as Paper 1, Mathematics S) is based on topics 1 to 8
Paper 2 is based on topics 9 to 16. Each paper contains 12 compulsory questions of variable mark allocations totaling 100 marks. Giraffe  1018   回复： Mathematics T syllabus

STPM Mathematics T (also known as Pure Mathematics)
Syllabus

1. Numbers and Sets
Real numbers
Exponents
and logarithms
Complex numbers
Sets
2. Polynomials
Polynomials
Equations and inequalities
Partial fractions
3. Sequences and Series
Sequences
Series
Binomial
expansions
4. Matrices
Matrices
Inverse
matrices
System of linear equations
5. Coordinate Geometry
Cartesian
coordinates in a plane
Straight lines
Curves
6. Functions
Functions and graphs
Composite
functions
Inverse functions
Limit and continuity of a function
7. Differentiation
Derivative of a function
Rules for
differentiation
Derivative of a function defined implicitly or
parametrically
Applications of differentiation
8. Integration
Integral of a function
Integration
techniques
Definite integrals
Applications of integration
9. Differential Equations
Differential
equations
First order differential equations with separable
variables
First order homogeneous differential equations
10. Trigonometry
Solution of a
***
Trigonometric formulae
Trigonometric equations and
inequalities
11. Deductive
Geometry

Axioms
Polygons
Circles
12. Vectors
Vectors
Applications of
vectors
13. Data
Description

Representation of data
Measures of location
Measures
of dispersion
14. Probability
Techniques
of counting
Events and probabilities
Mutually exclusive events
Independent
and conditional events
15. Discrete
Probability Distributions

Discrete
random variables
Mathematical expectation
The binomial
distribution
The Poisson distribution
16. Continuous Probability Distributions
Continuous
random variable
Probability density
function
Mathematical expectation
The normal distribution lonelytree 248  