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ISC Class 12 Maths Syllabus

Class 12th is an important milestone for the career life of the students. Class 12 syllabus contains several important topics that form a crucial part of higher education. Mathematics is an important subject that shapes the career of students after schooling. Having a good hold on the Maths subject will be a bonus point to students. So, to help students in preparing well for the Mathematics exam, we are providing the  Maths Syllabus of ISC Class 12. They can also download the ISC Syllabus for Class 12 Maths pdf from the link below and refer it while studying.

Download ISC Class 12 Maths Syllabus PDF 2022-23

Having a good knowledge of the syllabus would help the students to study in a proper sequence. Along with the syllabus, students must be thorough with the marking scheme as well. So, below we have provided the ISC Class 12 Maths marks weightage of each chapter.

ISC Class 12 Maths Syllabus Marks Distribution

By looking at the table below, students can have a good idea of the Maths exam pattern.

S.No. Unit Total Weightage
Section A: 65 Marks
1. Relations and Functions 10 Marks
2. Algebra 10 Marks
3. Calculus 32 Marks
4. Probability 13 Marks
Section B: 15 Marks
5. Vectors 5 Marks
6. Three-Dimensional Geometry 6 Marks
7. Application of Integral 4 Marks
Section C: 15 Marks
8. Application of Calculus 5 Marks
9. Linear Regression 6 Marks
10. Linear Programming 4 Marks
Total 80 Marks

ISC Syllabus for Class 12 Maths


1. Relations and Functions

(i) Types of relations: reflexive, symmetric, transitive and equivalence relations. One to one and onto functions, inverse of a function.

(ii) Inverse Trigonometric Functions

Definition, domain, range, principal value branch. Elementary properties of inverse trigonometric functions.

2. Algebra

Matrices and Determinants

(i) 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 upto 3). Invertible matrices and proof of the uniqueness of inverse, if it exists (here all matrices will have real entries).

(ii) 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. Solving system of linear equations in two or three variables (having unique solution) using inverse of a matrix.

3. Calculus

(i) Continuity, Differentiability and Differentiation. 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.

(ii) Applications of Derivatives

Applications of derivatives: rate of change of bodies, increasing/decreasing functions, tangents and normals, 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).

(iii) 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.
Fundamental Theorem of Calculus (without proof). Basic properties of definite integrals and evaluation of definite integrals.

(iv) Differential Equations

Definition, order and degree, general and particular solutions of a differential equation. 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.

4. 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.


5. 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.

6. Three – dimensional Geometry

Direction cosines and direction ratios of a line joining two points. Cartesian equation and vector equation of a line. Cartesian and vector equation of a plane. Angle between (i) two lines, (ii) two planes, (iii) a line and a plane. Distance of a point from a plane.

7. Application of Integrals

Application in finding the area bounded by simple curves and coordinate axes. Area enclosed between two curves.


8. Application of Calculus

Application of Calculus in Commerce and Economics.

9. Linear Regression

– Lines of regression of x on y and y on x.
– Scatter diagrams
– The method of least squares.
– Lines of best fit.
– Regression coefficient of x on y and y on x.
– bxy x byx = r2, 0 ≤ bxy ≤ byx ≤ 1
– Identification of regression equations
– Properties of regression lines.
– Estimation of the value of one variable using the value of other variable from appropriate line of regression.

10. 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-trivialconstraints).

Students can get the ISC syllabus for class 11 and 12 by visiting ISC Syllabus page. Keep learning and stay tuned for further updates on CBSE and other competitive exams. Download BYJU’S App and subscribe to YouTube channel to access interactive study videos.

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