Chapter 32: Data Types: Bitwise Manipulation and Masks

A-level Computer ScienceOCR6 topicsHigher

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CS32-1 algorithmic complexity: describe how time complexity and space complexity operates in comparing nested loops over 10 000 records, using precise OCR H446 terminology.

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CS32-2 applied case: explain why time complexity and space complexity would affect comparing nested loops over 10 000 records, including one limitation or trade-off.

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CS32-3 task for algorithmic complexity: write a response using time complexity and space complexity in comparing nested loops over 10 000 records; produce a correct Big O classification.

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CS32-4 synoptic judgement: evaluate the suitability of time complexity and space complexity for comparing nested loops over 10 000 records, comparing it with one credible alternative.

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31. Data Types: Floating Point Arithmetic

33. Data Structures: Arrays, Tuples and Records

Key learning objectives

Understand the key principles behind Data Types: Bitwise Manipulation and Masks.
Apply these ideas to exam-style questions.
Recall the essential definitions and key terms.