Curriculum
- 4 Sections
- 132 Lessons
- 365 Days
- 1. Numbers32
- 1.11.1.1 Types of numbers
- 1.21.1.3 Mathematical Operations
- 1.31.1.4 Number Operations
- 1.41.1.5 Prime Factor Decomposition
- 1.51.2.1 Set Notation
- 1.61.2.2 Venn Diagrams
- 1.71.3.1 Powers/Indices and roots
- 1.81.3.2 Standard Form
- 1.91.3.3 Working with standard form
- 1.101.4.1 Fractions
- 1.111.4.2 Working with Fractions
- 1.121.4.3 Decimals
- 1.131.5.1 Percentage
- 1.141.5.2 Working with Percentage
- 1.151.6.1 Conversions
- 1.161.6.2 Ordering
- 1.171.7.1 Ratios
- 1.181.7.2 Working with Ratios
- 1.191.8.1 Proportion
- 1.201.9.1 Rounding
- 1.211.9.2 Estimation
- 1.221.9.3 Bounds
- 1.231.10.1 Using a Calculator
- 1.241.11.1 Time
- 1.251.11.2 Currency
- 1.261.11.3 Currency Conversion
- 1.271.12.1 Simple Interest
- 1.281.12.2 Compound interest
- 1.291.12.3 Depreciation
- 1.301.13.1 Exponential growth
- 1.311.13.2 Exponential decay
- 1.321.14.1 Compound measures
- 2. Algebra and Graphs39
- 2.12.1.1 Algebra Notation
- 2.22.1.2. Algebra Vocabulary
- 2.32.1.3. Algebra Basic
- 2.42.2.1 Algebraic roots & Indices
- 2.52.3.1 Expanding brackets
- 2.62.3.2 Factorisation
- 2.72.3.3 Quadratic expressions
- 2.82.3.4 Difference of two squares
- 2.92.4.1 Linear Equations
- 2.102.4.2 Linear Inequalities
- 2.112.5.1 Quadratic Equations
- 2.122.6.1 Rearranging formula
- 2.132.7.1 System of Linear Simultaneous Equations
- 2.142.7.2 System of quadratic simultaneous equations
- 2.152.8.1 Algebraic fractions
- 2.162.8.2 Working with algebraic fractions
- 2.172.8.3 Solving algebraic fractions
- 2.182.9.1 Forming equations
- 2.192.9.2 Equations & Problem solving
- 2.202.10.1 Introduction to functions
- 2.212.10.2 Composite & Inverse functions
- 2.222.11.1 Sequences
- 2.232.11.2 nth term
- 2.242.12.1 Midpoint of a line
- 2.252.12.2 Gradient of a line
- 2.262.12.3 Length of a line
- 2.272.13.1 Linear Graph
- 2.282.13.2 Quadratic Graphs
- 2.292.14.1 Types of Graphs
- 2.302.14.2 Drawing a graph without using a calculator
- 2.312.14.3 Drawing a graph with a calculator
- 2.322.14.4 Using a graph
- 2.332.14.5 Tangents
- 2.352.15.1 Drawing a Graph
- 2.362.15.2 Interpreting graphical inequalities
- 2.372.16.1 Distance-Time Graph
- 2.382.16.2 Speed-Time Graph
- 2.392.17.1 Differentiation
- 2.402.17.2 Applications
- 3. Geometry36
- 3.03.1.1 Symmetry
- 3.13.1.2 2D Shapes
- 3.23.1.3 3D shapes
- 3.33.1.4 Unit conversions
- 3.43.2.1 Basic angle Properties
- 3.53.2.2 Angle properties with triangle
- 3.63.2.3 Angle properties with quadrilateral
- 3.73.2.4 Angles in polygon
- 3.83.3.1 Bearings
- 3.93.3.2 Scale
- 3.103.3.3 Constructing SSS triangle
- 3.113.4.1 Angles at center & Semicircles
- 3.123.5.1 Perimeter
- 3.133.5.2 Area
- 3.143.5.3 Problems Solving with Areas
- 3.153.6.1 Arc
- 3.163.6.2 Sector
- 3.173.7.1 Volume
- 3.183.7.2 Surface area
- 3.193.8.1 Congruence
- 3.203.8.2 Similarity
- 3.213.9.1 Pythagoras Theorem
- 3.223.9.2 Right-angled Trigonometry
- 3.233.10.1 Sine Rule
- 3.243.10.2 Cosine Rule
- 3.253.10.3 Area of Triangle
- 3.263.10.4 Applications of Trigonometry
- 3.273.11.1 Pythagoras in 3D
- 3.283.12.1 Drawing trigonometric graph
- 3.293.12.2 Solving trigonometric equations
- 3.303.13.1 Basic Vectors
- 3.313.13.2 Vector problem solving
- 3.323.14.1 Translation
- 3.333.14.2 Rotation
- 3.343.14.3 Reflection
- 3.353.14.4 Scaling
- 4. Probability and Statistics25
- 4.04.1.1 Basic probability
- 4.14.1.2 Relative Frequency
- 4.24.1.3 Expected Frequency
- 4.34.2.1 Two way Tables
- 4.44.2.2 Probability & Venn Diagram
- 4.54.2.3 Tree Diagram
- 4.64.3.1 Conditional probability
- 4.74.3.2 Combined conditional probabilities
- 4.84.4.1 Mean, median & mode
- 4.94.4.2 Averages from Tables and Charts
- 4.104.4.3 Averages from Grouped Data
- 4.114.4.4 Comparing Distributions
- 4.124.5.1 Stem & Leaf diagrams
- 4.134.5.2 Bar chart
- 4.144.5.3 Pictogram
- 4.154.5.4 Pie chart
- 4.164.5.5 Frequency polygon
- 4.174.5.6 Working with Statistical Diagram
- 4.184.6.1 Frequency Density
- 4.194.6.2 Histograms
- 4.204.7.1 Cumulative frequency
- 4.214.7.2 Box-and-whisker Plots
- 4.224.8.1 Correlation
- 4.234.8.2 Scatter Graph
- 4.244.8.3 Line of best Fit
1.2.1 Set Notation
Set:
A set is a collection of well-defined and distinct objects. It can be described by putting its components
e.g.
A={1,2,3,4,5,6}
Elements:
The elements of a set are the items in it. Elements can be anything – numbers, characters, locations, and so on.
To represent is an element of we use the symbol \( \in \)
e.g.
If \( N= \lbrace{1,2,3,4}\rbrace \) then \( 1,2,3,4\in N \)
Universal Set:
The universal set is a set that contains all of its subsets’ elements, as well as its own.
It is represented by capital letter U or by Greek letter \( \xi \) (xi)
Empty Set:
The set that does not contain any element is called empty set.
e.g.
A set of natural numbers less than \( 1 \).
It is expressed as \( \lbrace{}\rbrace \) and represented by Greek letter \( \phi \)
Number of elements:
Number of elements in a set \( A \) is denoted by \( n(A) \)
e.g.
If \(A= \lbrace{a,e,i,o,u}\rbrace \) then \( n (A)=5 \)
Note that
If \( B= \phi \) then \( n (B)=0 \)
If \( C= \lbrace{0}\rbrace \) then \( n (C)=1 \)
Subset:
If every element of set \( A \) is in set \( B \) then set \( A \) is a subset of set \( B \).
It is further divided into two parts
Proper subset
If all elements of \( B \) are in \( A \) but \( A \) contains at least one element that is not in \( B \) then \( A \) is a proper subset of \( B \). It is denoted as \( A \subset B \)
e.g.
\( A= \lbrace{blue, green, purple, pink }\rbrace \)
\( B= \lbrace{pink, purple, green, maroon, blue}\rbrace \)
So \( A\subset B \)
Improper subset
Any subset \( A \) which contains all the elements of the original set \( B \) is called an improper subset. It is represented as \( A \subseteq B \)
e.g.
\( X= \lbrace{a,b,c,d,e}\rbrace \), \( Y= \lbrace{b,d,e,a,c}\rbrace \)
So \( X \subseteq Y \)
A cross through the sign indicates that it is not true.
\( \neq \) is not equal to
∉ does not belong to
\( ⊈ \)neither a subset of nor equal to
\( ⊄ \)not a subset of
Set operations:
There are three major types of set operations.
Union of sets
Union of two sets \( A \) and \( B\) is a set which contains all the elements of set \( A \) and set \( B \). And it is
represented as \( A \) \( B \)
e.g.
If \(A= \lbrace{1,3,5,7,9,11,…}\rbrace \) and \( B= \lbrace{2,4,6,8,10,…}\rbrace \)
then
\( A \) \( B = \lbrace{1,2,3,4,5,6,7,8,9,10,11, …..}\rbrace \)
Intersection of sets
Intersection of two sets \( A \) and \( B \) is a set which contains all the common elements of set \( A \) and set \( B \). And it is represented as \( A \)∩\( B \).
e.g.
If \( A= \lbrace{2,3,5,7,11,13,…}\rbrace \) and \( B= \lbrace{2,4,6,8,10,…}\rbrace \)
then
\( A \)∩\( B \)\( = \lbrace{2}\rbrace \)
Complement of a set
If \( U \) is a universal set and \( A \) is any subset of \( U \) then the complement of \( A \) is the set of all elements of the set \( U \) apart from the elements of \( A \). It is represented as \( A’ \) or \( A^c \)
e.g.
If \( U= \lbrace{1,2,3,4,5,6,7,8,9,10,…}\rbrace \) and \( A= \lbrace{2,4,6,8,10,…}\rbrace \)
then
\( A’= \lbrace{1,3,5,7,9,11,…}\rbrace \)
Properties of set operation:
Commutative property
\( A \)∩\( B \)=\( B \)∩\( A \)
\( A \)\( B \)=\( B \)
\( A \)
Associative property
\( A∩ (B∩C) = (A∩B)∩C \)
\( A \) (\( B \)
\( C \) )=(\( A \)
\( B \))
\( C \)
Distributive property
\( A \) \( (B ∩ C) \)=(\( A \)
\( B \)) ∩ (\( A \)
\( C \))
\( A \)∩ (\( B \) \( C \))= (\( A∩ B \)) (\( A∩ C \))