JC H2 Math


How do I benefit from the course?

The course is targeted at students who are entering Junior College the next year and wish to learn JC H2 Math in advance.

Some JC H2 topics are extensions of topics that have been taught in Secondary schools, like Differentiation, Integration, Coordinate Geometry and more. Advance learning will help students excel in these subjects and ease their transition to JC.


Objectives

  1. Familiarize students with A-level concepts on different topics and examination techniques.
  2. Impart various approaches which are required to solve typical and challenging questions.
  3. Early exposure to revision and past year questions.


How is JC H2 Math structured?

The course comprises 6 modules:
  • Module 1 to Module 4 consist of 5 key topics based on the Pure Mathematics section of the syllabus.
  • Module 5 and Module 6 consist of 3 key topics based on the Statistics section of the syllabus.


Modular Plan for JC H2 Math
 
TermTopicDetails

Module 1
(Year End Holiday)

Functions and Graph
  • Functions, inverse functions and composite functions
  • Graphing techniques
  • Equations and inequalities
Sequence and series
  • Summation of series
  • Arithmetic and Geometric series

Module 2 (Semester 1) (Jan – Mar)

Vectors
  • Vectors in two and three dimensions
  • The scalar and vector products of vectors
  • Three-dimensional geometry
  • Revision on Vectors

Module 3 (Semester 1) (Mar - May)

Calculus
  • Differentiation
  • Maclaurin’s series
  • Integration techniques
  • Differential equations
  • Revision on Calculus

Module 4
(Mid Year Holiday)

Complex numbers
  • Complex numbers expressed in Cartesian form
  • Complex numbers expressed in polar form
Revision
  • Revision on Pure Math

Module 5 (Semester 2) (Jun – Sep)

Probability & Distribution
  • Permutation and combination
  • Probability
  • Binomial and Poisson distribution
  • Normal distribution

Module 6 (Semester 2) (Sep – Nov)

Sampling
  • Sampling  
  • Hypothesis testing
Correlation
  • Correlation coefficient and linear regression  
Revision
  • Revision on Statistics  


Topics covered are subjected to change depending on the ability of students.

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