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CBSE 12th Maths Tuition

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What will you learn in this course?
    • The broad objectives of teaching Mathematics at senior school stage intend to help the students:
    • To acquire knowledge and critical understanding, particularly by way of motivation and visualization, of basic concepts, terms, principles, symbols and mastery of underlying processes and skills.
    • To feel the flow of reasons while proving a result or solving a problem.
    • To apply the knowledge and skills acquired to solve problems and wherever possible, by more than one method.
    • To develop positive attitude to think, analyse and articulate logically.
    • To develop interest in the subject by participating in related competitions.
    • To acquaint students with different aspects of Mathematics used in daily life.

    To develop an interest in students to study Mathematics as a discipline.

₹ 12000
Course Teacher
Course Information
Category
Duration
Hours
Price
₹ 12000

* Exclusive of 18% GST

Includes
    • Assignments every week
    • 200+ MCQs
    • Courseware prepared by experts
    • Assessments to give you the level of improvement

Class 12 is an essential year in school education. It's when basic arithmetic principles should be firmly established. Students will benefit from a firm grasp of class 12th maths since they will have momentum for the following year, allowing them to do well in the class 12th board exams. Finding a grade 12th  mathematics teacher who can give all the attention and assistance students need to succeed in this essential discipline may be difficult for many pupils. However, with LITAA online programs, one-on-one sessions at a low cost are now a reality.

This program has been designed by LITAA to meet the requirements of CBSE class 12th maths using NCERT solutions. You will begin preparing for important competitive examinations in Class 12 so that you can keep your career options open. The subject specialists and solutions of maths class 12th provide you with a thorough syllabus and study materials, which you may access anywhere without prior knowledge. The study material will be conveyed to you carefully. You can pick up the phone and call an expert to clear up any doubts you may have anytime.

Course Features

70 hours of Live Classes
200+ MCQ Test Series
Live Doubt Resolution
Individual Attention

Course Structure

Units Topics Marks
I Relations and Functions 08
II Algebra 10
III Calculus 35
IV Vectors and Three - Dimensional Geometry 14
V Linear Programming 05
VI Probability 08
Internal Assessment 20
Total 100

Course Lessons

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.

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. Oncommutativity 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, derivative 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. 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, 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

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. Binomial probability distribution.

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