CUET Maths Syllabus - Important Topics, Paper Pattern and Prep Strategy

Unit

Chapter

Sub-Unit

1.

Algebra

(i) Matrices and types of matrices

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

(iii) Algebra of matrices

(iv) Determinants

(v) Inverse of a matrix

(vi) Solving simultaneous equations using the 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

Unit

Chapter

Sub-Unit

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 matrices, 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 (up to 3×3 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 several 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 rule, derivatives of inverse Trigonometric functions and derivatives of implicit functions. Concepts of exponential and 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 and real-life situations). Tangent and normal.

Integrals

Integration is an inverse process of differentiation. Integration of a variety of functions by substitution, partial fractions, and parts, only simple integrals of the types are 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), the area between the two above-said curves (the region should be clearly identifiable).

Differential equations

Definition, order, degree, general and particular differential equation solutions. 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, viable and infeasible solutions, optimal feasible solutions (up to three non-trivial constraints).

Probability

Multiplication theorem on probability. Conditional probability, independent events, total probability, Bayes ’ theorem. Random variable and its probability distribution, mean, and variance of a random variable. Repeated independent(Bernoulli) trials and binomial distribution.

Unit

Chapter

Sub-Unit

Numbers, Quantification, & Numerical Applications

Modulo arithmetic

• Define the modulus of an integer
• Apply arithmetic operations using modular arithmetic rules

Congruence modulo

• Define congruence modulo
• Apply the definition to 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 the 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
• Consider the time volume/surface area for a 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 a matrix
• Identify different kinds of matrices

Equality of matrices, Transpose of a matrix, Symmetric and skew-symmetric matrices

• Determine the equality of two matrices
• Write the transpose of the given matrix
• Define symmetric and skew-symmetric matrices

Calculus

Higher-order derivatives

• Determine second and higher-order derivatives
• Understand the 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 Distribution

Probability distribution

• Understand the concept of Random Variables and their Probability Distributions
• Find the probability distribution of a discrete random variable

Mathematical expectation

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

Variance

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

Index Numbers & Time-Based Data

Index numbers

• Define Index numbers as a special type of average

Construction of index numbers

• Construct different types of index numbers

Test of adequacy of index numbers

• Apply time reversal test

Index Numbers & 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 the sample
• Explain the relation of parameter & statistic
• Explain the limitation of statistics to generalize the estimation of population
• Interpret the concept of statistical significance and statistical inferences
• State the Central Limit Theorem
• Explain the relation between population-sampling distribution-sample

Index Numbers & 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 savings account

Valuation of bonds

• Define the concept of valuation of a bond and related terms
• Calculate the value of the bond using the 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 the 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, and unbounded regions

Feasible and infeasible solutions, optimal feasible solution

• Understand feasible and infeasible solutions
• Find the optimal feasible solution