how can I purchase NDA syllabus for 2021 2ndexam

Hello Aspirant,

See if you want to have the syllabus for NDA 2021 exam then why to spend money when you are getting it for free. I am describing down the complete syllabus for NDA 2021 :-

@Mathematics

Algebra

• Concept of set, operations on sets, Venn diagrams
• De Morgan laws, Cartesian product, relation, equivalence relation
• Representation of real numbers on a line
• Complex numbers-basic properties, modulus, argument, cube roots of unity
• Binary system of numbers
• Conversion of a number in decimal system to binary system and vice-versa
• Arithmetic, geometric, and harmonic progressions
• Quadratic equations with real coefficients
• Solution of linear inequations of two variables by graphs
• Permutation and combination
• Binomial theorem and its applications
• Logarithms and their applications

Matrices and determinants

• Types of matrices, operations on matrices
• Determinant of a matrix, basic properties of determinants
• Adjoint and inverse of a square matrix, applications-solution of a system of linear equations in two or three unknowns by Cramer’s rule and by matrix method

Trigonometry

• Angles and their measures in degrees and in radians
• Trigonometrical ratios
• Trigonometric identities sum and difference formula
• Multiple and sub-multiple angles
• Inverse trigonometric functions
• Applications-height and distance, properties of triangles

Analytical geometry of two and three dimensions

• Rectangular Cartesian coordinate system
• Distance formula
• Equation of a line in various forms
• Angle between two lines
• Distance of a point from a line
• Equation of a circle in standard and in general form
• Standard forms of parabola, ellipse, and hyperbola
• Eccentricity and axis of a conic
• Point in a three dimensional space, distance between two points
• Direction cosines and direction ratios
• Equation two points
• Equation of a plane and a line in various forms
• Angle between two lines and angle between two planes
• Equation of a sphere

Differential calculus

• Concept of a real valued function-domain, range, and graph of a function
• Composite functions, one to one, onto, and inverse functions
• Notion of limit, standard limits-examples
• Continuity of functions-examples, algebraic operations on continuous functions
• Derivative of function at a point, geometrical, and physical interpretation of a derivative-applications
• Derivatives of sum, product, and quotient of functions, derivative of a function with respect to another function, derivative of a composite function
• Second order derivatives
• Increasing and decreasing functions
• Application of derivatives in problems of maxima and minima

Integral calculus and differential equations

• Integration as inverse of differentiation, integration by substitution and by parts, standard integrals involving algebraic expressions, trigonometric, exponential, and hyperbolic functions
• Evaluation of definite integrals-determination of areas of plane regions bounded by curves-applications
• Definition of order and degree of a differential equation, formation of a differential equation by examples
• General and particular solution of a differential equations, solution of first order and first degree differential equations of various types-examples
• Application in problems of growth and decay

Vector algebra

• Vectors in two and three dimensions, magnitude and direction of a vector
• Unit and null vectors, addition of vectors, scalar multiplication of a vector, scalar product or dot product of two vectors
• Vector product or cross product of two vectors
• Applications-work done by a force and moment of a force, and in geometrical problems

Statistics and probability

• Statistics: Classification of data, frequency distribution, cumulative frequency distribution-examples. Graphical representation-histogram, pie chart, frequency polygon-examples. Measures of central tendency-mean, median, and mode
• Statistics: Variance and standard deviation-determination and comparison. Correlation and regression
• Probability: Random experiment, outcomes and associated sample space, events, mutually exclusive and exhaustive events, impossible and certain events. Union and Intersection of events. Complementary, elementary, and composite events
• Probability: Definition of probability-classical and statistical-examples. Elementary theorems on probability-simple problems. Conditional probability, Bayes' theorem-simple problems. Random variable as function on a sample space. Binomial distribution
• Probability: Examples of random experiments giving rise to binominal distribution

@English

• Grammar and usage
• Vocabulary
• Comprehension and cohesion

For complete syllabus please visit the link given below :-

https://competition.careers360.com/articles/nda-syllabus

I hope this information helps you.

Good Luck!!