CUET maths syllabus | How to prepare maths for CUET, strategies, tips… and more

1

Algebra

(i) Matrices and types of matrices

(ii) Equality of matrices, transpose of a matrix, symmetric and skew-symmetric matrix

(iii) Algebra of matrices

(iv) Determinants

(v) Inverse of a matrix

(vi) Solving of simultaneous equations using matrix method

2.

Calculus

(i) Higher-order derivatives

(ii) Tangents and normals

(iii) Increasing and decreasing functions

(iv) Maxima and minima

3.

Integration and its applications

(i) Indefinite integrals of simple functions

(ii) Evaluation of indefinite integrals

(iii) Definite integrals

(iv) Application of integration as the area under the curve

4.

Differential

equations

(i) Order and degree of differential equations

(ii) Formulating and solving differential equations with

variable separable

        5.

Probability

distributions

(i) Random variables and their probability distribution

(ii) Expected value of a random variable

(iii) Variance and standard deviation of a random variable

(iv) Binomial distribution

6.

Linear programming 

(i) Mathematical formulation of linear programming problem

(ii) Graphical method of solution for problems in two variables

(iii) Feasible and infeasible regions

(iv) Optimal feasible solution

RELATIONS AND FUNCTIONS

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 operations.

Inverse 

trigonometric 

functions

Definition, range, domain, principal value branches.

Graphs of inverse trigonometric functions. Elementary properties of inverse trigonometric functions.

ALGEBRA

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 (restricted 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).

Determinants

Determinants of a square matrix (upto 3×3 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 a number of solutions

of a system of linear equations by examples, solving

systems of linear equations in two or three variables

(having a unique solution) using the inverse of a matrix.

CALCULUS

Continuity and differentiability

Continuity and differentiability, a derivative of composite functions, chain rules, derivatives of inverse

Trigonometric functions, and derivatives of implicit

functions. Concepts of exponential, logarithmic functions. Derivatives of log x and ex. 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.

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 tool). Simple problems (that 

illustrate basic principles and understanding of the 

subject as well as real-life situations). Tangent and 

normal. 

Integrals

Integration as an inverse process of differentiation. Integration of a variety of functions by substitution,

partial fractions, and parts, only simple integrals of the

type – is to be evaluated.

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 of the integrals

Applications in finding the area under simple curves, especially lines, arcs of circles/parabolas/ellipses (in standard form only), area between the two above said

curves (the region should be clearly identifiable).

Differential 

equations

Definition, order, and degree, general and particular

solutions of a differential equation. Formation of

differential equations 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.

VECTORS & THREE - DIMENSIONAL GEOMETRY

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, the 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, scalar triple product.

Three-dimensional Geometry

Direction cosines/ratios of a line joining two points. 

Cartesian and vector equation of a line, coplanar and 

skew lines, the shortest distance between two lines. Cartesian and vector equation of a plane.The angle 

between (i)two lines,(ii)two planes, and (iii) a line and a plane. Distance of a point from a plane.

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, feasible and infeasible solutions, optimal 

feasible solutions (up to three non-trivial constraints).

PROBABILITY

Multiplications 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.

NUMBERS, QUANTIFICATION, 

AND NUMERICAL 

APPLICATIONS

Modulo arithmetic

∙ Define modulus of an integer 

∙ Apply arithmetic operations using

modular arithmetic rules

Congruence modulo

∙ Define congruence modulo 

∙ Apply the definition in various problems 

Allegation and mixture 

∙ Understand the rule of allegation to 

produce a mixture at a given price 

∙ Determine the mean price of a mixture 

∙ Apply rule of allegation

Numerical problems

∙ Solve real life problems mathematically

Boats and streams

∙ Distinguish between upstream and downstream 

∙ Express the problem in the form of an equation

Pipes and cisterns

∙ Determine the time taken by two or more pipes to fill

Races and games

∙ Compare the performance of two players w.r.t. time, 

∙ distance taken/distance covered/ Work 

done from the given data

Partnership

∙ Differentiate between active partner and sleeping partner 

∙ Determine the gain or loss to be divided among the partners in the ratio of their investment with due 

∙ consideration of the time volume/surface area for solid formed using two or more shapes

Numerical inequalities

∙ Describe the basic concepts of numerical inequalities 

∙ Understand and write numerical 

inequalities

ALGEBRA

Matrices and types of matrices

∙ Define matrix 

∙ Identify different kinds of matrices

Equality of matrices, Transpose of matrix, Symmetric and Skew symmetric matrix

∙ Determine equality of two matrices 

∙ Write transpose of given matrix 

∙ Define symmetric and skew symmetric matrix

CALCULUS

Higher order derivatives

∙ Determine second and higher order derivatives 

∙ Understand differentiation of parametric functions and implicit functions Identify dependent and independent variables

Marginal cost and 

marginal revenue using derivatives

∙ Define marginal cost and marginal revenue 

∙ Find marginal cost and marginal revenue

Maxima and minima

∙ Determine critical points of the function 

∙ Find the point(s) of local maxima and 

local minima and corresponding local maximum and local minimum values 

∙ Find the absolute maximum and 

absolute minimum value of a function

PROBABILITY DISTRIBUTIONS

Probability distribution

∙ Understand the concept of Random Variables and its Probability Distributions 

∙ Find probability distribution of discrete random variable

Mathematical expectation

∙ Apply arithmetic mean of frequency distribution to find the expected value of a random variable

Variance 

∙ Calculate the Variance and S.D.of a random variable 

INDEX NUMBERS AND TIME BASED DATA

Index numbers

∙ Define Index numbers as a special type 

of average

Construction of index numbers

∙ Construct different type of index numbers

Test of adequacy of index numbers

∙ Apply time reversal test

INDEX NUMBERS AND TIME BASED DATA

Population and sample

∙ Define Population and Sample 

∙ Differentiate between population and 

sample 

∙ Define a representative sample from a population

Parameter and statistics 

and statistical 

interferences

∙ Define parameter with reference to population 

∙ Define statistics with reference to sample 

∙ Explain the relation of parameter & statistic 

∙ Explain the limitation of statistics to generalize the estimation for population

∙ Interpret the concept of statistical significance and statistical inferences 

∙ State central limit theorem 

∙ Explain the relation between population-sampling distribution-sample

INDEX NUMBERS AND TIME-BASED DATA

Time series

∙ Identify time series chronological data

Components of time 

series

∙ Distinguish between different components of time series

Time Series analysis for univariate data

∙ Solve practical problems based on statistical data and Interpret

FINANCIAL MATHEMATICS

Perpetuity, sinking 

funds

∙ Explain the concept of perpetuity and sinking fund 

∙ Calculate perpetuity 

∙ Differentiate between sinking fund and saving account

Valuation of bonds

∙ Define the concept of valuation of bond 

and related terms

∙ Calculate value of bond using present 

value approach

Calculation of EMI

∙ Explain the concept of EMI 

∙ Calculate EMI using various methods

Linear method of 

depreciation

∙ Define the concept of the linear method of Depreciation 

∙ Interpret cost, residual value, and useful 

life of an asset from the given information

 ∙ Calculate depreciation

LINEAR PROGRAMMING

Introduction and related terminology

∙ Familiarize with terms related to linear programming problem

Mathematical formulation 

of linear programming problem

∙ Formulate linear programming 

problem

Different types of linear programming problems

∙ Identify and formulate different types of 

LPP

Graphical method of 

solution for problems in 

two variables

∙ Draw the graph for a system of linear inequalities involving two variables and 

to find its solution graphically

Feasible and infeasible regions

∙ Identify feasible, infeasible unbounded regions

Feasible and infeasible solutions, optimal 

feasible solution

∙ Understand feasible and infeasible 

solutions 

∙ Find the optimal feasible solution