When learning about algorithms, one of the most important ideas in computer science is the Big O Notation. It helps us measure how efficient an algorithm is — especially as the size of the problem gets bigger. To introduce this…
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1.1 System Architecture 1.2 Memory and Storage 1.3 Computer networks 1.4 Network security 1.5 – Systems software 1.6 – Impacts of digital technology2.1 – Algorithms 2.2 – Programming fundamentals 2.3 – Producing robust programs 2.4 – Boolean logic 2.5 – Programming languages and IDEs
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