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Class XII Maths — Board Mastery Pathway

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About Course

A complete Class XII maths course covering calculus, algebra, vectors, 3D geometry and probability, taught concept-first with weekly graded practice and monthly board-pattern tests.

Format: small live group (maximum 8 students) or one-to-one.
Fee: ₹5,000 per month (group, 2 live sessions a week) · ₹1,200 per 60-minute one-to-one session. Fees exclude GST.

The first 30-minute class is free.

Course Content

Start Here — How This Pathway Works
What the course covers, how classes run, and how the Class XII board exam is marked.

  • Welcome and how the pathway works
  • How the board exam is marked
  • Starting check — 10 questions

Chapter 1 — Relations and Functions
Types of relations, equivalence relations, one-one and onto functions.

Chapter 2 — Inverse Trigonometric Functions
Principal value branches, domain and range, graphs.

Chapter 3 — Matrices
Types of matrices, operations, transpose, symmetric and skew-symmetric matrices, invertible matrices.

Chapter 4 — Determinants
Determinants, area of a triangle, adjoint and inverse, solving linear equations by the matrix method.

Chapter 5 — Continuity and Differentiability
Continuity, chain rule, implicit, inverse trig, exponential and log differentiation, second derivatives.

Chapter 6 — Application of Derivatives
Rate of change, increasing and decreasing functions, maxima and minima.

Chapter 7 — Integrals
Indefinite integrals, substitution, partial fractions, integration by parts, definite integrals and their properties.

Chapter 8 — Application of Integrals
Area under simple curves, lines, circles, parabolas and ellipses.

Chapter 9 — Differential Equations
Order and degree, general and particular solutions, variables separable, homogeneous and linear equations.

Chapter 10 — Vector Algebra
Vectors, components, section formula, dot product and cross product.

Chapter 11 — Three Dimensional Geometry
Direction cosines and ratios, equations of a line, angle between lines, shortest distance between skew lines.

Chapter 12 — Linear Programming
Constraints, objective function, feasible region and the graphical method.

Chapter 13 — Probability
Conditional probability, multiplication theorem, independent events, total probability and Bayes’ theorem.

Board Readiness
Full-length practice, revision plan and exam-day strategy.

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