# CUET Mathematics Syllabus 2024

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The CUET (Common University Entrance Test) is an entrance exam that is going to be centrally administered, and its goal is to provide students who are interested in attending the most prestigious universities and colleges in the country with an equal and standard opportunity to gain admission to those institutions. The candidates' CUET scores will be taken into consideration during the selection process, which admission decisions will follow. The test will be in computer-based testing (CBT) format, and the questions will be multiple-choice (MCQ). It is necessary to prepare thoroughly to achieve high test scores and increase the likelihood of being accepted to the institution or university of your choice. Mastering the CUET Mathematics syllabus will pave the way for a student in the initial phase.
###### MATHEMATICS SYLLABUS FOR CUET:
The mathematics curriculum is highly comprehensive and may be split into two distinct parts. In terms of your preparation, it is of the utmost importance that, in addition to being familiar with the curriculum, you are familiar with the test format for mathematics and the kinds of questions that are asked from each unit. This comprehensive understanding of the test format and syllabus is sure to come in handy at some point, and it will make the task at hand much simpler at every stage of your preparation.
The following is an explanation of the detailed question pattern for mathematics:
• SECTION A and SECTION B (B1 & B2) are the two sections that one Question Paper will be given and divided into.
• Each applicant must answer all 15 questions in Section A's Mathematics and Applied Mathematics section. This section will cover both types of mathematics.
• Mathematics will be covered in Section B1 with a total of 35 questions, of which candidates only need to attempt 25 questions.
• There will be 35 questions based only on applied mathematics in Section B2, although only 25 of those problems will be attempted.
The following table provides an assessment of the CUET mathematics syllabus in greater detail:
###### SECTION A:
 UNIT CHAPTER SUB-UNIT 1 Algebra Matrices, as well as the various kinds of matrices 2 Probability Distributions Binomial Distribution Expected value of a random variable 3 Calculus Higher-order derivatives Increasing and Decreasing Functions 4 Differential Equations 5 Linear Programming 6 Integration and its Applications
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###### SECTION B1: MATHEMATICS
 UNIT CHAPTER SUB-UNIT RELATIONS AND FUNCTIONS Inverse Trigonometric Functions Definition, range, domain, principal value branches. Relations and Functions ALGEBRA Matrices Properties of addition, multiplication, and scalar multiplication, as well as adding, multiplying, and scaling Determinants Determinants of a 3x3 matrix, Determinants for triangle area, their characteristics, minors, and co-factors. Inverse and Adjoint of square matrix. CALCULUS Continuity and Differentiability Inverse Trigonometric functions, Derivative of composite functions,  derivatives of implicit functions, and chain rule Exponential and logarithmic functions. Applications of Derivatives Tangent and Normal. Integrals Integration as an inverse process of differentiation. Applications of the Integrals Differential Equations VECTORS AND THREE-DIMENSIONAL GEOMETRY Vectors Direction cosines/ratios of vectors. Three-dimensional Geometry Ratios of a line joining two points. LINEAR PROGRAMMING PROBABILITY Multiplications theorem on probability.
###### SECTION B2: APPLIED MATHEMATICS
 UNIT CHAPTER SUB-UNIT NUMBERS, QUANTIFICATION, AND NUMERICAL APPLICATIONS Modulo Arithmetic Arithmetic Operations Using Modular Arithmetic Rules Modulus Of An Integer Allegation and Mixture Rule Of Allegation To Produce A Mixture At A Given Price Partnership Numerical Problems Boats and Streams Distinguish Between Upstream And Downstream Express The Problem In The Form Of An Equation Pipes and Cisterns The Time Taken By Two Or More Pipes To Fill Races and Games Comparison of The Performance Of Two Players W.R.T. Time, Congruence Modulo Numerical Inequalities ALGEBRA Matrices and types of matrices Equality of matrices, Transpose of matrix, Symmetric and Skew symmetric matrix CALCULUS Maxima and Minima Critical Points Of The Function Marginal Cost and Marginal Revenue using derivatives Higher Order Derivatives PROBABILITY DISTRIBUTIONS Probability Distribution Concept of Random Variables and its Probability Distributions probability distribution of discrete random variable Variance Calculate the Variance and S.D.of a random variable Mathematical Expectation Apply arithmetic mean of frequency distribution to find the expected value of a random variable INDEX NUMBERS AND TIME BASED DATA Index Numbers Index numbers as a special type of average Construction of Index numbers Test of Adequacy of Index Numbers Applying time reversal test INDEX NUMBERS AND TIME BASED DATA Population and Sample Population vs sample Representative sample from a population Parameter and Statistics and Statistical Interferences Relation between Parameter and Statistic Limitation of Statistics to generalize the estimation for population Concept of Statistical Significance and Statistical Inferences Central Limit Theorem Relation between Population-Sampling Distribution-Sample INDEX NUMBERS AND TIME-BASED DATA Time Series Components of Time Series Time Series analysis for univariate data Practical problems based on statistical data and Interpret FINANCIAL MATHEMATICS Perpetuity, Sinking Funds Valuation of Bonds Calculation of EMI Linear method of Depreciation LINEAR PROGRAMMING Introduction & related terminology Different types of Linear Programming Problems Feasible and infeasible solutions, optimal feasible solution Graphs show how to solve problems with two variables. Infeasible and Feasible Regions Mathematical Formulation of Linear Programming Problem
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