Fees | RS 25000/Annual (10+1 / 10+2) RS 7500/Per Sem (BSc. I, II, III) RS 1200/PM ( IX,X ) RS 1000/PM ( VIII) |
Level | Basic + Competitive |
Started | 03, April 2019 (10+1) 20, March 2019 (10+2) |
Shift | 5:30 AM to 8:00 AM 2:00 PM to 8:00 PM |
Admission | Open |
1. Sets
Sets and their representations. Empty set. Finite and Infinite sets. Equal sets. Subsets. Subsets of
a set of real numbers especially intervals (with notations). Power set. Universal set. Venn
diagrams. Union and Intersection of sets. Difference of sets. Complement of a set. Properties of
Complement Sets. Practical Problems based on sets.
2. Relations & Functions
Ordered pairs, Cartesian product of sets. Number of elements in the cartesian product of two
finite sets. Cartesian product of the sets of real (upto R x R). Definition of relation, pictorial
diagrams, domain, co-domain and range of a relation. Function as a special kind of relation from
one set to another. Pictorial representation of a function, domain, co-domain and range of a
function. Real valued functions, domain and range of these functions: constant, identity,
polynomial, rational, modulus, signum, exponential, logarithmic and greatest integer functions,
with their graphs. Sum, difference, product and quotients of functions.
3. Trigonometric Functions
Positive and negative angles. Measuring angles in radians and in degrees and conversion of one
into other. Definition of trigonometric functions with the help of unit circle. Truth of the
sin 2 x+cos 2 x=1, for all x. Signs of trigonometric functions. Domain and range of trignometric
functions and their graphs. Expressing sin (x±y) and cos (x±y) in terms of sinx, siny, cosx &
cosy and their simple application.
1. Principle of Mathematical Induction
Process of the proof by induction, motivating the application of the method by looking at natural numbers as the least inductive subset of real numbers. The principle of mathematical induction and simple applications.
2. Complex Numbers and Quadratic Equations
Need for complex numbers, especially √1, to be motivated by inability to solve some of the quardratic equations. Algebraic properties of complex numbers. Argand plane and polar representation of complex numbers. Statement of Fundamental Theorem of Algebra, solution of quadratic equations in the complex number system. Square root of a complex number.
3. Linear Inequalities
Linear inequalities. Algebraic solutions of linear inequalities in one variable and their representation on the number line. Graphical solution of linear inequalities in two variables. Graphical solution of system of linear inequalities in two variables.
4. Permutations and Combinations
Fundamental principle of counting. Factorial n. (n!)Permutations and combinations, derivation of formulae and their connections, simple applications.
5. Binomial Theorem
History, statement and proof of the binomial theorem for positive integral indices. Pascal's triangle, General and middle term in binomial expansion, simple applications.
6. Sequence and Series
Sequence and Series. Arithmetic Progression (A.P.). Arithmetic Mean (A.M.) Geometric
Progression (G.P.), general term of a G.P., sum of n terms of a G.P., Arithmetic and Geometric
series infinite G.P. and its sum, geometric mean (G.M.), relation between A.M. and G.M.
1. Straight Lines
Brief recall of two dimensional geometry from earlier classes. Shifting of origin. Slope of a line
and angle between two lines. Various forms of equations of a line: parallel to axis, point-slope
form, slope-intercept form, two-point form, intercept form and normal form. General equation of
a line. Equation of family of lines passing through the point of intersection of two lines. Distance
of a point from a line.
2. Conic Sections
Sections of a cone: circles, ellipse, parabola, hyperbola; a point, a straight line and a pair of
intersecting lines as a degenerated case of a conic section. Standard equations and simple
properties of parabola, ellipse and hyperbola. Standard equation of a circle.
3. Introduction to Three–dimensional Geometry
Coordinate axes and coordinate planes in three dimensions. Coordinates of a point. Distance
between two points and section formula.
1. Limits and Derivatives
Derivative introduced as rate of change both as that of distance function and geometrically.
Intutive idea of limit. Limits of polynomials and rational functions, trignometric, exponential and
logarithmic functions. Definition of derivative, relate it to slope of tangent of a curve, derivative
of sum, difference, product and quotient of functions. The derivative of polynomial and
trignometric functions.
1. Mathematical Reasoning
Mathematically acceptable statements. Connecting words/ phrases - consolidating the
understanding of "if and only if (necessary and sufficient) condition", "implies", "and/or",
"implied by", "and", "or", "there exists" and their use through variety of examples related to real
life and Mathematics. Validating the statements involving the connecting words difference
between contradiction, converse and contrapositive.
1. Statistics
Measures of dispersion; Range, mean deviation, variance and standard deviation of
ungrouped/grouped data. Analysis of frequency distributions with equal means but different
variances.
2. Probability
Random experiments; outcomes, sample spaces (set representation). Events; occurrence of
events, 'not', 'and' and 'or' events, exhaustive events, mutually exclusive events, Axiomatic (set
theoretic) probability, connections with the theories of earlier classes. Probability of an event,
probability of 'not', 'and' and 'or' events
1. Relations and Functions
Types of relations: reflexive, symmetric, transitive and equivalence relations. One to one and onto functions, composite functions, inverse of a function. Binary operations.
2. Inverse Trigonometric Functions
Definition, range, domain, principal value branch. Graphs of inverse trigonometric functions. Elementary properties of inverse trigonometric functions.
1. Matrices
Concept, notation, order, equality, types of matrices, zero and identity matrix, transpose of a matrix,
symmetric and skew symmetric matrices. Operation on matrices: Addition and multiplication and
multiplication with a scalar. 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 (restrict 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).
2. Determinants
Determinant of a square matrix (up to 3 x 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 number of solutions of system of linear equations by examples, solving
system of linear equations in two or three variables (having unique solution) using inverse of a matrix.
1. Continuity and Differentiability
Continuity and differentiability, derivative of composite functions, chain rule, derivatives of inverse
trigonometric functions, derivative of implicit functions. Concept of exponential and logarithmic functions.
Derivatives of logarithmic and exponential functions. 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 interpretation.
2. Applications of Derivatives
Applications of derivatives: rate of change of bodies, increasing/decreasing functions, tangents and
normals, use of derivatives in 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).
3. Integrals
Integration as inverse process of differentiation. Integration of a variety of functions by substitution, by
partial fractions and by parts, Evaluation of simple integrals of the following types and problems based on
them.
4. Applications of the Integrals
Applications in finding the area under simple curves, especially lines, circles/ parabolas/ellipses (in
standard form only), Area between any of 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 method of
separation of variables, solutions of homogeneous differential equations of first order and first degree.
Solutions of linear differential equation of the type:
, where p and q are functions of x or constants.
, where p and q are functions of y or constants.
1. Vectors
Vectors and scalars, magnitude and direction of a vector. Direction cosines and direction ratios of a
vector. Types of vectors (equal, unit, zero, parallel and collinear vectors), position vector of a point,
negative of a vector, components of a vector, addition of vectors, multiplication of a vector by a
scalar, position vector of a point dividing a line segment in a given ratio. Definition, Geometrical
Interpretation, properties and application of scalar (dot) product of vectors, vector (cross) product of
vectors, scalar triple product of vectors.
2. Three - dimensional Geometry
Direction cosines and direction ratios of a line joining two points. Cartesian equation and vector equation
of a line, coplanar and skew lines, shortest distance between two lines. Cartesian and vector equation of
a plane. Angle between (i) two lines, (ii) two planes, (iii) a line and a plane. Distance of a point from a
plane.
1. 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 (bounded or unbounded), feasible
and infeasible solutions, optimal feasible solutions (up to three non-trivial constraints).
1. Probability
Conditional probability, multiplication theorem on probability, independent events, total probability, Bayes’
theorem, Random variable and its probability distribution, mean and variance of random variable. Repeated
independent (Bernoulli) trials and Binomial distribution.
1. Real Number
1. Polynomials
2. Linear Equations in two variables
3. Coordinate Geometry
1. Coordinate Geometry
1. Introduction to Euclid's Geometry
2. Lines and Angles
3. Triangles
4. Quadrilaterals
5. Area
6. Circle
7. Constructions
1. Areas
2. Surface areas and volumes
1. Statistics
2. Probability
1. Real Number
1. Polynomials
2. Pair of Linear Equations in two variables
3. Quadratic Equations
4. Arithmeic Progressions
1. Lines( In two dimensios)
1. Triangles
2. Circles
3. Constructions
1. Introduction to Trignometry
2. Trigometric Identities
3. Height & Distances
1. Area related to circles
2. Surface Areas and Volumes
1. Statistics
2. Probability