CUET UG Mathematics/Applied Mathematics Syllabus 2023: Download PDF

CUET UG 2023 Mathematics/Applied Mathematics Syllabus Download PDF

You can read and download CUET UG  2023 Mathematics/Applied Mathematics Syllabus for Class 12 PDF. The link to the pdf is given at the bottom of the page, you can download it in both languages, i.e., in English and Hindi. CUET 2023 UG Mathematics/Applied Mathematics paper code is 319.

CUET Preparing students can read or download the complete CUET UG Mathematics Syllabus from here.

Mathematics/Applied Mathematics (319)

Note: There will be one Question Paper containing Two Sections i.e. Section A and Section B [B1 and B2].

Section A will have 15 questions covering both i.e. Mathematics/Applied Mathematics which will be compulsory for all candidates.

Section B1 will have 35 questions from Mathematics out of which 25 questions need to be attempted.

Section B2 will have 35 questions purely from Applied Mathematics out of which 25 questions will be attempted.

SECTION A

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

Calculus

(i) Higher order derivatives

(ii) Tangents and Normals

(iii) Increasing and Decreasing Functions

(iv). Maxima and Minima

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

Differential Equations

(i) Order and degree of differential equations

(ii) Formulating and solving of differential equations with variable separable

Probability Distributions

(i) Random variables and its probability distribution

(ii) Expected value of a random variable

(iii) Variance and Standard Deviation of a random variable

(iv). Binomial Distribution

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

Section B1: Mathematics

UNIT I: 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.

UNIT II: 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 scalar multiplication. Non-commutativity of multiplication of matrices and existence of non-zero matrix products the zero matrices (restrict to square matrices of order 2). Concept of elementary row and column operations. Invertible matrices and proof of the uniqueness inverse, if it exists;(Here all matrices will have real entries).

Determinants

Determinants a square matrix (upto3×3 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 a system of linear equations by examples, solving a system of linear equations in two or three variables (having unique solution) using inverse of a matrix.

UNIT III: CALCULUS

1. Continuity and Differentiability

Continuity And differentiability, a derivative of composite functions, chain rule, derivatives of inverse trigonometric functions, derivative implicit function. Concepts Exponential, logarithmic functions. Derivatives Of Logx and e^x. 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.

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 tool). Simple problems(that illustrate basic principles and understanding of the subject as well as real-life situations). Tangent and Normal. 

3. Integrals

Integration as Inverse Process 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 integrals and evaluation of definite integrals.

4. Applications of the Integrals

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

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 the 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 constant

dx/dy+Px = Q, where P and Q are functions of y or constant

UNITIV: VECTORS AND THREE-DIMENSIONAL GEOMETRY

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, 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.

2. 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,(iii) a line and a plane. Distance of a point from a plane.

Unit V: Linear Programming

Introduction, related terminologies such as constraints, objective function, optimization, different types of linear programming(L.P.) problems, and mathematical formulation of LPP. 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 VI: Probability

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

Section B2: Applied Mathematics

Unit I: 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 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 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 or empty.

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 a solid formed using two or more shapes

Numerical Inequalities

• Describe the basic concepts of numerical inequalities
• Understand and write numerical inequalities

UNIT II: ALGEBRA

Matrices and types of matrices 

• Define matrix
• Identify different kinds of matrices

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

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

UNIT III: 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

UNIT IV: 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 

UNIT V: INDEX NUMBERS AND 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

UNIT VI: 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 Inferences

• Define Parameter with reference to Population
• Define Statistics with reference to Sample
• Explain the relation between Parameter and Statistic
• Explain the limitation of Statistics to generalize the estimation of the population
• Interpret the concept of Statistical Significance and Statistical Inferences
• State Central Limit Theorem
• Explain the relation between Population-Sampling Distribution-Sample

UNIT VII: INDEX NUMBERS AND TIME-BASED DATA

Time Series

• Identify time series as chronological data

Components of Time Series

• Distinguish between different components of the time series

Time Series analysis for univariate data

• Solve practical problems based on statistical data and Interpret

UNIT VIII: 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 bonds 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 linear method of Depreciation
• Interpret cost, residual value and useful life of an asset from the given information
• Calculate depreciation

UNIT IX: 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, and bounded regions

Feasible and infeasible solutions, optimal feasible solution

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

CUET 2023 UG Mathematics/Applied Mathematics Syllabus For Class 12 Download PDF

CUET 2023 UG Mathematics/Applied Mathematics Syllabus For Class 12 Download PDF in Hindi

CUET UG 2023 – Notification, Syllabus Application Forms, Admit Card, Exam Dates, Result.

Download CUET 2023 UG Physics Syllabus PDF

Download CUET UG 2023 Chemistry Syllabus pdf