Mathematics T syllabus
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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.
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.
回复: Mathematics T syllabus
STPM Mathematics T (also known as Pure Mathematics)
Syllabus
Syllabus
- Numbers and Sets
Real numbers
Exponents
and logarithms
Complex numbers
Sets - Polynomials
Polynomials
Equations and inequalities
Partial fractions - Sequences and Series
Sequences
Series
Binomial
expansions - Matrices
Matrices
Inverse
matrices
System of linear equations - Coordinate Geometry
Cartesian
coordinates in a plane
Straight lines
Curves - Functions
Functions and graphs
Composite
functions
Inverse functions
Limit and continuity of a function - Differentiation
Derivative of a function
Rules for
differentiation
Derivative of a function defined implicitly or
parametrically
Applications of differentiation - Integration
Integral of a function
Integration
techniques
Definite integrals
Applications of integration - Differential Equations
Differential
equations
First order differential equations with separable
variables
First order homogeneous differential equations - Trigonometry
Solution of a
***
Trigonometric formulae
Trigonometric equations and
inequalities - Deductive
Geometry
Axioms
Polygons
Circles - Vectors
Vectors
Applications of
vectors - Data
Description
Representation of data
Measures of location
Measures
of dispersion - Probability
Techniques
of counting
Events and probabilities
Mutually exclusive events
Independent
and conditional events - Discrete
Probability Distributions
Discrete
random variables
Mathematical expectation
The binomial
distribution
The Poisson distribution - Continuous Probability Distributions
Continuous
random variable
Probability density
function
Mathematical expectation
The normal distribution
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