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### Bihar Board Class 12 Intermediate 2Nd Year Maths Syllabus 2020 21

Maths is one of the most important core subjects for students aspiring to take up professional courses such as engineering in universities. The Bihar Board Class 12 (Intermediate 2nd year) is designed to equip students with the knowledge in various topics of Maths so that they can successfully complete their endeavour.

The Bihar Board Class 12 Syllabus of Maths covers a wide range of topics that enable the students to confidently pursue higher education in the field of their choice. Topics such as Integrals and Application of Integrals form the core of syllabus and Calculus as a whole is given significant weightage, almost half of the syllabus.

Before going into the details of Bihar Board 12th Mathematics Syllabus, have a look at the marks distribution. This chapterwise marks distribution is as per the latest syllabus issues by the BSEB.

A quick look at the Bihar Board Class 12 Previous Year Question Papers set by Bihar School Education Board helps one understand the way marks are allocated in the annual exams. However, we have provided the table below consisting the chapter-wise weightage of Bihar Board 12th Maths subject.

The Mathematics paper of Bihar Board Class 12 (Intermediate 2nd year) consist of total 100 marks with 3 hours of time duration. While topics related to Calculus are allocated 40 marks, the rest of the topics are allocated 9 to 18 marks each. The syllabus below is as per the latest Bihar State Board Books .

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

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

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).

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 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.

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.

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).

Integration as the 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.

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).

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. Solutions of linear differential equation of the type:

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

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.

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. Distance of a point from a plane.

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).

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

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