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Skills available for India class XII maths curriculum

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12.1 Determinants and Matrices

12.2 Boolean Algebra

  • 12.2.1 Boolean algebra as an algebraic structure, principle of duality, Boolean function. Switching circuits, application of Boolean algebra to switching circuits.

12.3 Conics

  • 12.3.1 As a section of a cone.

  • 12.3.2 Definition of Foci, Directrix, Latus Rectum.

  • 12.3.3 PS = ePL where P is a point on the conics, S is the focus, PL is the perpendicular distance of the point from the directrix. (i) Parabola

  • 12.3.i Parabola

  • 12.3.ii Ellipse

  • 12.3.iii Hyperbola

    • 12.3.iii.1 x²/a² - y²/b² =1, e> 1, b² = a² (e² - 1)

    • 12.3.iii.2 Cases when coefficient y² is negative and coefficient of x² is negative.

    • 12.3.iii.3 Rough sketch of the above.

    • 12.3.iii.4 Focal property i.e. SP - S'P = 2a.

    • 12.3.iii.5 Transverse and Conjugate axes; Latus rectum; coordinates of vertices, foci and centre; and equations of the directrices and the axes.

    • 12.3.iii.6 General second degree equation ax²+ 2hxy + by² + 2gx +2fy + c = 0 represents a parabola if h² = ab, ellipse if h² < ab, and hyperbola if h² > ab.

    • 12.3.iii.7 Condition that y = mx + c is a tangent to the conics.

12.4 Inverse Trigonometric Function

  • 12.4.1 Principal values.

  • 12.4.2 sin-1x, cos-1x, tan-1x etc. and their graphs.

  • 12.4.3 sin-1x, cos-1√(1-x²) = tan-1x/√(1-x²)

  • 12.4.4 sin-1x= cosec-11/x; sin-1x + cos-1x = π/2 and similar relations for cot-1x, tan-1x, ect.

  • 12.4.5 Addition formulae.

    • 12.4.5.1 sin-1x ± sin-1(x√(1 - y²) ± y √(1 - x²))

    • 12.4.5.2 cos-1x ± cos-1y=cos¹(xy √(1 - y²) √(1 - x²))

    • 12.4.5.3 similarly tan-1x ± tan¹y= tan¹ (x ± y)/(1 ± xy), < 1

    • 12.4.5.4 Similarly, establish formulae for 2sin-1x, 2cos-1x, 2tan-1x, 3tan-1x etc. using the above formula.

  • 12.4.6 Application of these formulae.

12.5 Calculus

12.6 Correlation and Regression

12.7 Probability

12.8 Complex Numbers

12.9 Differential Equations

  • 12.9.1 Differential equations, order and degree.

  • 12.9.2 Solution of differential equations.

  • 12.9.3 Variable separable.

  • 12.9.4 Homogeneous equations and equations reducible to homogeneous form.

  • 12.9.5 Linear form dy/dx + Py = Q where P and Q are functions of x only. Similarly for dx/dy.

12.10 Vectors

  • 12.10.1 Scalar (dot) product of vectors.

  • 12.10.2 Cross product - its properties - area of a triangle, collinear vectors.

  • 12.10.3 Scalar triple product - volume of a parallelopiped, co-planarity.

  • 12.10.4 Proof of Formulae (Using Vectors)

    • 12.10.4.1 Sine rule.

    • 12.10.4.2 Cosine rule

    • 12.10.4.3 Projection formula

    • 12.10.4.4 Area of a δ = ½absinC

12.11 Co-ordinate geometry in 3-Dimensions

  • 12.11.i Lines

    • 12.11.i.1 Cartesian and vector equations of a line through one and two points.

    • 12.11.i.2 Coplanar and skew lines.

    • 12.11.i.3 Conditions for intersection of two lines.

    • 12.11.i.4 Shortest distance between two lines.

  • 12.11.ii Planes

    • 12.11.ii.1 Cartesian and vector equation of a plane.

    • 12.11.ii.2 Direction ratios of the normal to the plane.

    • 12.11.ii.3 One point form.

    • 12.11.ii.4 Normal form.

    • 12.11.ii.5 Intercept form.

    • 12.11.ii.6 Distance of a point from a plane.

    • 12.11.ii.7 Angle between two planes, a line and a plane.

    • 12.11.ii.8 Equation of a plane through the intersection of two planes i.e. - P1 + kP2 = 0.

    • 12.11.ii.9 Simple questions based on the above.

12.12 Probability

12.13 Discount

  • 12.13.1 True discount; banker's discount; discounted value; present value; cash discount, bill of exchange.

12.14 Annuities

  • 12.14.1 Meaning, formulae for present value and amount; deferred annuity, applied problems on loans, sinking funds, scholarships.

12.15 Linear Programming

  • 12.15.1 Introduction, definition of related terminology such as constraints, objective function, optimization, isoprofit, isocost lines; advantages of linear programming; limitations of linear programming; application areas of linear programming; 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, feasible and infeasible solutions, optimum feasible solution.

12.16 Application of derivatives in Commerce and Economics in the following:

  • 12.16.1 Cost function, average cost, marginal cost, revenue function and break even point.

12.17 Index numbers and moving averages

  • 12.17.1 Price index or price relative.

  • 12.17.2 Simple aggregate method.

  • 12.17.3 Weighted aggregate method.

  • 12.17.4 Simple average of price relatives.

  • 12.17.5 Weighted average of price relatives (cost of living index, consumer price index).

  • 12.17.6 Meaning and purpose of the moving averages.

  • 12.17.7 Calculation of moving averages with the given periodicity and plotting them on a graph.

  • 12.17.8 If the period is even, then the centered moving average is to be found out and plotted.