Madhya Pradesh Board Class 12th Maths Syllabus

Higher mathematics is a fundamental discipline that finds application in various other science subjects. Therefore Madhya Pradesh Board Class 12th Maths Syllabus is designed to include all the topics such as Differential and Integral Calculus to equip the students to face the rigours of higher education. Topics such as Linear Programming and Mathematical Modelling prepares the students for Computer Science and Electronics Engineering courses.

A thorough understanding of the syllabus goes a long way in ensuring the right preparations for the HSC board exams. Students can also refer to the mp board nic 2020 paper along with the syllabus to get an idea about the exam pattern. It will also help students to grasp the amount of effort required from an examination point of view and plan their academic year accordingly.

At BYJU’S, we are always trying to make it as much easier as it is possible for the students by providing all the information they need on MP Board. Obtaining and publishing updated syllabus from official sources is a part of this endeavour.

Download MP Board Class 12th Maths Syllabus PDF

Class 12th Maths Syllabus for MP Board

UNITS
Unit 1: Relations and Functions

 

1.1 Relations and Functions

 

Types of relations: Reflexive, symmetric, transitive and equivalence relations. One to one and onto functions, composite functions, the inverse of a function. Binary operation.

 

1.2 Inverse Trigonometric Functions

 

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

Unit 2: Algebra

 

2. 1. Matrices

 

Concept, notation, order, equality, types of matrices, zero matrix, transpose of a matrix. symmetric and skew symmetric matrices. Addition, multiplication and scalar multiplication of matrices, 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).

 

2.2 Determinants

 

Determinant of a square matrix (up to 3 x 3 matrices), properties of determinants, minors, cofactors and applications of determinants in finding the area of a triangle Adjoint and inverse of a square mania. Consistency, inconsistency and number of solutions of system of linear equations by examples, oohing system of linear equations in two or three variables (having unique solution) using inverse of a matrix.

Unit 3: Calculus

 

3. 1. Continuity and Differentiability

 

Continuity and differentiability; derivative of composite functions, chain ride, derivatives of inverse trigonometric functions, derivative of implicit function. Concept of exponential and logarithmic functions and their derivatives. 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 interpretations

 

3.2. Applications of Derivatives

 

Applications of derivatives: Rate of change, increasing/ decreasing functions, tangents and normals, approximation, maxima and minima (first derivative test motivated geometrically and second derivative test given as a provable took). Simple problems (that illustrate basic principles and understanding of the subject as well as real life situations).

 

3.3. Integrals

 

integration as inverse process of differentiation. Integration of a variety of functions by substitution, by partial fractions and by parts, only simple integrals of the type

to be evaluated. Definite integrals as a limit of a sum. Fundamental Theorem of Calculus (without proof). Basic properties of definite ; integra’s and evaluation of definite integrals.

 

3.4. Applications of the Integrals

 

Applications in finding the area under simple curves, especially lines, areas of circles/parabolas/ ellipses (in standard form only), area between the two above said curves (the region should be clearly identifiable).

 

3.5. 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, homogeneous differential equations of first order and first degree. Solutions of linear differential equation of the type:

Unit 4: Vectors and 3 Dimensional Geometry

 

4.1. Vectors

 

Vectors and scalars, magnitude and direction of a vector. Direction cosines/ratios of vectors. 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. Scalar (dot) product of vectors, projection of a vector on a line. Vector (cross) product of vectors.

 

4. 2. Three-dimensional Geometry

 

Direction cosines/ratios of a line joining two points. Cartesian and vector equation of a lint, coplanar and skew lines, shortest distance between two lines. Cartesian and vector equa lion of a plane. Angle between (i) two lines, (ii) two planes, (iii) a line and a plane. Distance of a point from a plane.

Unit 5: Linear Programming

 

Introduction, related terminology such as constraints, objective function. optimization. different types of linear programming (L.P) problems, mathematical formulation of LP. problems, graphical method of solution for problems in two variables, feasible and infeasible regions, feasible and infeasible solutions, optimal feasible solutions (up to three non-trivial constraints).

Unit 6: Probability

 

Multiplication theorem on probability. Conditional probability. independent events, total probability, Baye’s theorem. Random variable and its probability distribution, mean and variance of haphazard variable. Repeated independent (Bernoulli) trials and Binomial distribution.

Appendix

 

1. Proofs in Mathematics

 

Through a variety of examples related to mathematics and already familiar to the learner, bring out different kinds of proofs: direct, contrapositive, by contradiction, by counter-example.

 

2. Mathematical Modelling

 

Modelling real-life problems where many constraints may really need to be ignored (continuing from Class XI). However, now the models concerned would use techniques/results of matrices, calculus and linear programming.

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