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Computer Science · Theme B: Computational thinking and problem-solving

B2.4 — Programming algorithms

Computer Science · SL / HL · syllabus-mapped notes

  1. CS_B2.4.1

    Big O notation and efficiency

    Time and space complexity, calculating Big O, and choosing by scalability.

  2. CS_B2.4.2

    Linear search and binary search

    Constructing, tracing and comparing the two search algorithms.

  3. CS_B2.4.3

    Bubble sort and selection sort

    Constructing, tracing and evaluating the time and space complexities of each sort.

  4. CS_B2.4.4

    The concept of recursion (HL)

    Fundamentals, advantages and limitations, with applications including quicksort.

  5. CS_B2.4.5

    Constructing recursive algorithms (HL)

    Constructing and tracing simple, non-branching recursive algorithms.

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