Mathematics S syllabus
2 posters
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Mathematics S syllabus
Content
1.Numbers and sets
2.Polynomials
3.Sequences and series
4.Matrices
5.Coordinate geometry
6.Functions
7.Differentiation
8.Integration
9.Linear programming
10.Network planning
11.Data description
12.Probability
13.Probability distributions
14.Sampling and estimation
15.Correlation and regression
16.Time series and index numbers
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 T) 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 totalling 100 marks.
1.Numbers and sets
2.Polynomials
3.Sequences and series
4.Matrices
5.Coordinate geometry
6.Functions
7.Differentiation
8.Integration
9.Linear programming
10.Network planning
11.Data description
12.Probability
13.Probability distributions
14.Sampling and estimation
15.Correlation and regression
16.Time series and index numbers
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 T) 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 totalling 100 marks.
回复: Mathematics S syllabus
STPM
Mathematics S (also known as Statistical Mathematics) Syllabus
Mathematics S (also known as Statistical Mathematics) 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 - Linear Programming
- Network Planning
- Data Description
- Probability
- Probability Distributions
- Sampling and Estimation
- Correlation and Regression
- Time Series and Index Number
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注册日期 : 09-07-29
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