CBSE Syllabus Class 12 Maths 2023: For the subject of mathematics, we advise the students to prepare the chapters under the unit of calculus very well because as per the official CBSE 12th Maths Syllabus it has been allocated the maximum or almost half of the marks of the total.
So by this, we can assume that this will be the most challenging part of the syllabus. The students may also make sure that they do not leave other chapters in the shadow of it. As other chapters of the syllabus also are essential even if they have got fewer marks weight age.
CBSE Class 12 Maths Syllabus 2022
Unit Name | Chapter Name | Marks |
---|---|---|
Relations And Functions | Relations And Functions | 08 |
Inverse Trigonometric Functions | ||
Algebra | Matrices | 10 |
Determinants | ||
Calculus | Continuity And Differentiability | 35 |
Applications Of Derivatives | ||
Integrals | ||
Applications Of The Integrals | ||
Differential Equations | ||
Vectors And Three Dimensional Geometry | Vectors | 14 |
Three Dimensional Geometry | ||
Linear Programming | Linear Programming | 05 |
Probability | Probability | 08 |
Total | 80 + 20 (Internal Assesment) |
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Name of Unit | Name of Chapter/ Topic |
---|---|
Unit-I: Relations and Functions |
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.
2. Inverse Trigonometric Functions: Definition, range, domain, principal value branch. Graphs of inverse trigonometric functionsElementary properties of inverse trigonometric functions. |
Unit-II: Algebra | 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. Non- commutativity 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).2. Determinants: Determinant of a square matrix (up to 3 x 3 matrices), properties of determinants, minors, co-factors and applications of determinants in finding the area of a triangle. Adjoint 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 | 1. Continuity and Differentiability: Continuity and differentiability, derivative of composite functions, chain rule, derivative 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. 2. Applications of Derivatives: Applications of derivatives: rate of change of bodies, increasing/decreasing functions, tangents and normals, 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). 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. Definite integrals as a limit of a sum, Fundamental Theorem of Calculus (without proof).Basic properties of definite integrals and evaluation of definite integrals. 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). 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 the method of separation of variables, solutions of homogeneous differential equations of first order and first degree. |
Unit-IV: Vectors and Three-Dimensional Geometry | 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. 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 (i) two lines, (ii) two planes, (iii) a line and a plane.Distance of a |
Unit-V: Linear Programming | 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 or unbounded), feasible and infeasible solutions, optimal feasible solutions (up to three non-trivial constraints). |
Unit-VI: Probability | 1. Probability
Conditional probability, multiplication theorem on probability, independent events, total probability, Bayes’ theorem, Random variable and its probability distribution, mean and variance of random variable. |
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