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ICS (Intermediate in Computer Science) Mathematics (Part II) - Calculus and Analytic Geometry Syllabus

Every chapter and topic of Mathematics (Part II) - Calculus and Analytic Geometry examined in ICS (Intermediate in Computer Science) — 7 chapters, 26 topics, plus 50 flashcards written against it.

7Chapters
26Topics
0Sub-topics
~20hEst. first pass
10%Of ICS (Intermediate in Computer Science)
50Flashcards

Mathematics (Part II) - Calculus and Analytic Geometry syllabus — full chapter and topic list

Expand any chapter to see its topics and sub-topics. This is the whole examinable outline for Mathematics (Part II) - Calculus and Analytic Geometry in ICS (Intermediate in Computer Science), not a summary of it.

  1. Functions and Limits

    4 topics
    • Types of Functions
    • Limit of a Function
    • Theorems on Limits
    • Continuity and Discontinuity
  2. Differentiation

    4 topics
    • Derivative by First Principle
    • Rules of Differentiation
    • Chain Rule and Implicit Differentiation
    • Derivatives of Trigonometric, Exponential and Logarithmic Functions
  3. Integration

    4 topics
    • Indefinite Integration
    • Methods of Integration
    • Definite Integration
    • Area Under a Curve
  4. Introduction to Analytic Geometry

    3 topics
    • Coordinate System and Distance Formula
    • Division of a Line Segment
    • Translation and Rotation of Axes
  5. Linear Inequalities and Linear Programming

    3 topics
    • Linear Inequalities in Two Variables
    • Feasible Region
    • Optimization and Objective Function
  6. Conic Sections

    4 topics
    • The Circle
    • The Parabola
    • The Ellipse
    • The Hyperbola
  7. Vectors

    4 topics
    • Introduction to Vectors
    • Scalar (Dot) Product
    • Vector (Cross) Product
    • Scalar Triple Product

Mathematics (Part II) - Calculus and Analytic Geometry flashcards for ICS (Intermediate in Computer Science)

20 of 50 cards from the Mathematics (Part II) - Calculus and Analytic Geometry deck — real questions with worked answers.

  1. Define a function from set X to set Y.

    A function f: X to Y is a rule that assigns to each element x in X exactly one element y in Y. X is the domain, Y is the codomain, and the set of all images is the range.

  2. What is an even function and what symmetry does its graph have?

    A function f is even if f(-x) = f(x) for all x in the domain. Its graph is symmetric about the y-axis. Example: f(x) = x^2, cos x.

  3. What is an odd function and what symmetry does its graph have?

    A function f is odd if f(-x) = -f(x) for all x in the domain. Its graph is symmetric about the origin. Example: f(x) = x^3, sin x.

  4. Distinguish between an algebraic function and a transcendental function.

    An algebraic function involves only algebraic operations (polynomial, rational, radical) on x. A transcendental function cannot be expressed algebraically; examples include trigonometric, inverse trigonometric, exponential and logarithmic functions.

  5. What is a one-to-one (injective) function?

    A function f is one-to-one if distinct inputs give distinct outputs: f(x1) = f(x2) implies x1 = x2. Graphically, it passes the horizontal line test.

  6. Define the composition of functions (fog)(x).

    (fog)(x) = f(g(x)). The output of g becomes the input of f. It is defined where g(x) lies in the domain of f. In general fog is not equal to gof.

  7. What condition must a function satisfy to have an inverse, and how are domain and range related?

    A function must be one-to-one (bijective on its range) to have an inverse f^-1. The domain of f becomes the range of f^-1, and the range of f becomes the domain of f^-1.

  8. Give the definitions of the hyperbolic functions sinh x and cosh x.

    sinh x = (e^x - e^-x)/2 and cosh x = (e^x + e^-x)/2. They satisfy the identity cosh^2 x - sinh^2 x = 1.

  9. Give the intuitive meaning of the limit of a function: lim(x->a) f(x) = L.

    It means f(x) can be made as close to L as we wish by taking x sufficiently close to a (but not equal to a). The behaviour of f exactly at a is irrelevant.

  10. State the formal (epsilon-delta) definition of lim(x->a) f(x) = L.

    For every epsilon > 0 there exists delta > 0 such that whenever 0 < |x - a| < delta, it follows that |f(x) - L| < epsilon.

  11. What is the relationship between one-sided limits and the existence of a limit?

    lim(x->a) f(x) = L exists if and only if both one-sided limits exist and are equal: lim(x->a-) f(x) = lim(x->a+) f(x) = L.

  12. Evaluate lim(x->0) (sin x)/x.

    lim(x->0) (sin x)/x = 1, where x is measured in radians. This is a fundamental trigonometric limit.

  13. Evaluate lim(x->0) (1 - cos x)/x.

    lim(x->0) (1 - cos x)/x = 0. (A related limit is lim(x->0) (1 - cos x)/x^2 = 1/2.)

  14. Evaluate lim(x->0) (a^x - 1)/x.

    lim(x->0) (a^x - 1)/x = ln a. In particular, lim(x->0) (e^x - 1)/x = 1.

  15. State the two standard limits that define the number e.

    e = lim(n->infinity) (1 + 1/n)^n, and equivalently e = lim(x->0) (1 + x)^(1/x). The value is approximately 2.71828.

  16. Evaluate lim(x->infinity) (1 + 1/x)^x.

    lim(x->infinity) (1 + 1/x)^x = e (approximately 2.71828).

  17. State the limit laws for sum and product of functions.

    If lim f(x) = L and lim g(x) = M, then lim [f(x) + g(x)] = L + M and lim [f(x) g(x)] = L M (limits taken as x->a).

  18. State the quotient law for limits and its condition.

    If lim f(x) = L and lim g(x) = M with M not equal to 0, then lim [f(x)/g(x)] = L/M (as x->a).

  19. State the Sandwich (Squeeze) Theorem for limits.

    If g(x) <= f(x) <= h(x) near a, and lim(x->a) g(x) = lim(x->a) h(x) = L, then lim(x->a) f(x) = L.

  20. How do you evaluate lim(x->a) of a polynomial function?

    For a polynomial p(x), lim(x->a) p(x) = p(a) by direct substitution, because polynomials are continuous everywhere.

See more Mathematics (Part II) - Calculus and Analytic Geometry flashcards →

Planning Mathematics (Part II) - Calculus and Analytic Geometry for ICS (Intermediate in Computer Science)

Mathematics (Part II) - Calculus and Analytic Geometry is about 10% of the ICS (Intermediate in Computer Science) syllabus by topic count — 26 of 252 topics, spread over 7 chapters. At roughly 45 minutes per topic plus 12 minutes per sub-topic, a first pass runs to about 20 hours.

The heaviest chapters are Functions and Limits (4 topics), Differentiation (4 topics), Integration (4 topics) . Front-load those while your energy is high; the short chapters are better revision filler later.

Work top-down: read the chapter, then tick topics off individually rather than marking the whole chapter done. Sub-topics are where silent gaps hide.

Mathematics (Part II) - Calculus and Analytic Geometry (ICS (Intermediate in Computer Science)) FAQ

What is in the ICS (Intermediate in Computer Science) Mathematics (Part II) - Calculus and Analytic Geometry syllabus?

Mathematics (Part II) - Calculus and Analytic Geometry is split into 7 chapters — Functions and Limits, Differentiation, Integration, Introduction to Analytic Geometry, Linear Inequalities and Linear Programming and Conic Sections, and 1 more, containing 26 topics and 0 sub-topics in total.

How is Mathematics (Part II) - Calculus and Analytic Geometry structured in the ICS (Intermediate in Computer Science) syllabus?

7 chapters. Mathematics (Part II) - Calculus and Analytic Geometry accounts for about 10% of the topics in the whole ICS (Intermediate in Computer Science) syllabus (26 of 252).

How long should I spend on Mathematics (Part II) - Calculus and Analytic Geometry for ICS (Intermediate in Computer Science)?

Budget around 20 hours for a first pass through Mathematics (Part II) - Calculus and Analytic Geometry — about 45 minutes per topic plus 12 minutes per sub-topic across its 26 topics. Add revision cycles on top.

Are there flashcards for ICS (Intermediate in Computer Science) Mathematics (Part II) - Calculus and Analytic Geometry?

Yes — a 50-card Mathematics (Part II) - Calculus and Analytic Geometry deck. Sample cards are printed on this page, and the full deck is free in the Examius app with spaced repetition scheduling.