CBSE SYLLABUS on CBSE 12th Class Maths Syllabus

course structure

units topics marks
i relations and functions 10
ii algebra 13
iii calculus 44
iv vectors and 3-d geometry 17
v linear programming 6
vi probability 10
total 100

course syllabus

unit i: relations and functions

chapter 1: relations and functions

  • types of relations −
    • reflexive
    • symmetric
    • transitive and equivalence relations
    • one to one and onto functions
    • composite functions
    • inverse of a function
    • binary operations

chapter 2: inverse trigonometric functions

  • definition, range, domain, principal value branch
  • graphs of inverse trigonometric functions
  • elementary properties of inverse trigonometric functions

unit ii: algebra

chapter 1: matrices

  • concept, notation, order, equality, types of matrices, zero and identity matrix, transpose of a matrix, symmetric and skew symmetric matrices.

  • operation on matrices: addition and multiplication and multiplication with a scalar

  • simple properties of addition, multiplication and scalar multiplication

  • noncommutativity of multiplication of matrices and existence of non-zero matrices whose product is the zero matrix (restrict to square matrices of order 2)

  • concept of elementary row and column operations

  • invertible matrices and proof of the uniqueness of inverse, if it exists; (here all matrices will have real entries).

chapter 2: determinants

  • determinant of a square matrix (up to 3 × 3 matrices), properties of determinants, minors, co-factors and applications of determinants in finding the area of a triangle

  • ad joint and inverse of a square matrix

  • consistency, inconsistency and number of solutions of system of linear equations by examples, solving system of linear equations in two or three variables (having unique solution) using inverse of a matrix

unit iii: calculus

chapter 1: continuity and differentiability

  • continuity and differentiability, derivative of composite functions, chain rule, derivatives of inverse trigonometric functions, derivative of implicit functions

  • concept of exponential and logarithmic functions.

  • derivatives of logarithmic and exponential functions

  • logarithmic differentiation, derivative of functions expressed in parametric forms. second order derivatives

  • rolle's and lagrange's mean value theorems (without proof) and their geometric interpretation

chapter 2: applications of derivatives

  • applications of derivatives: rate of change of bodies, increasing/decreasing functions, tangents and normal, use of derivatives in approximation, maxima and minima (first derivative test motivated geometrically and second derivative test given as a provable tool)

  • simple problems (that illustrate basic principles and understanding of the subject as well as real-life situations)

chapter 3: integrals

  • integration as inverse process of differentiation

  • integration of a variety of functions by substitution, by partial fractions and by parts

  • evaluation of simple integrals of the following types and problems based on them

    $\int \frac{dx}{x^2\pm {a^2}'}$, $\int \frac{dx}{\sqrt{x^2\pm {a^2}'}}$, $\int \frac{dx}{\sqrt{a^2-x^2}}$, $\int \frac{dx}{ax^2+bx+c} \int \frac{dx}{\sqrt{ax^2+bx+c}}$

    $\int \frac{px+q}{ax^2+bx+c}dx$, $\int \frac{px+q}{\sqrt{ax^2+bx+c}}dx$, $\int \sqrt{a^2\pm x^2}dx$, $\int \sqrt{x^2-a^2}dx$

    $\int \sqrt{ax^2+bx+c}dx$, $\int \left ( px+q \right )\sqrt{ax^2+bx+c}dx$

  • definite integrals as a limit of a sum, fundamental theorem of calculus (without proof)

  • basic properties of definite integrals and evaluation of definite integrals

chapter 4: applications of the integrals

  • applications in finding the area under simple curves, especially lines, circles/parabolas/ellipses (in standard form only)

  • area between any of the two above said curves (the region should be clearly identifiable)

chapter 5: differential equations

  • definition, order and degree, general and particular solutions of a differential equation

  • formation of differential equation whose general solution is given

  • solution of differential equations by method of separation of variables solutions of homogeneous differential equations of first order and first degree

  • solutions of linear differential equation of the type −

    • dy/dx + py = q, where p and q are functions of x or constants

    • dx/dy + px = q, where p and q are functions of y or constants

unit iv: vectors and three-dimensional geometry

chapter 1: vectors

  • vectors and scalars, magnitude and direction of a vector

  • direction cosines and direction ratios of a vector

  • types of vectors (equal, unit, zero, parallel and collinear vectors), position vector of a point, negative of a vector, components of a vector, addition of vectors, multiplication of a vector by a scalar, position vector of a point dividing a line segment in a given ratio

  • definition, geometrical interpretation, properties and application of scalar (dot) product of vectors, vector (cross) product of vectors, scalar triple product of vectors

chapter 2: three - dimensional geometry

  • direction cosines and direction ratios of a line joining two points

  • cartesian equation and vector equation of a line, coplanar and skew lines, shortest distance between two lines

  • cartesian and vector equation of a plane

  • angle between −

    • two lines

    • two planes

    • a line and a plane

  • distance of a point from a plane

unit v: linear programming

chapter 1: linear programming

  • introduction
  • related terminology such as −
    • constraints
    • objective function
    • optimization
    • different types of linear programming (l.p.) problems
    • mathematical formulation of l.p. problems
    • graphical method of solution for problems in two variables
    • feasible and infeasible regions (bounded and unbounded)
    • feasible and infeasible solutions
    • optimal feasible solutions (up to three non-trivial constraints)

unit vi: probability

chapter 1: probability

  • conditional probability
  • multiplication theorem on probability
  • independent events, total probability
  • baye's theorem
  • random variable and its probability distribution
  • mean and variance of random variable
  • repeated independent (bernoulli) trials and binomial distribution

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