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Schools Parents Learning Science

GCSE Computer Science · OCR

Performance

Completion

Proficiency

Course

1. Computer Systems

1.1 Systems Architecture

1.1.1 Architecture of the CPU 1.1.2 CPU Performance 1.1.3 Embedded Systems

1.2 Memory and Storage

1.2.1 Primary Storage (Memory)1.2.2 Secondary Storage 1.2.3 Units 1.2.4 Numbers 1.2.5 Characters 1.2.6 Images 1.2.7 Sound 1.2.8 Compression

1.3 Computer Networks, Connections and Protocols

1.3.1 Computer Networks 1.3.2 Network Types 1.3.3 Network Hardware 1.3.4 The Internet as a Collection of Networks 1.3.5 Network Topologies 1.3.6 Wired and Wireless Networks 1.3.7 Network Protocols 1.3.8 Protocol Layers

1.4 Network Security

1.4.1 Threats To Computer Systems and Networks 1.4.2 Identifying and Preventing Vulnerabilities

1.5 Systems Software

1.5.1 Operating Systems 1.5.2 Utility Software

1.6 Ethical, Legal, Cultural and Environmental Impacts of Digital Technology

1.6.1 Impacts of Digital Technology on Wider Society 1.6.2 Legislation Relevant to Computer Science 1.6.3 Software Licences

2. Computational Thinking, Algorithms and Programming

2.1.1 Computational Thinking 2.1.2 Designing, Creating and Refining Algorithms 2.1.3 Searching Algorithms 2.1.4 Sorting Algorithms

2.2 Programming Fundamentals

2.2.1 Programming Fundamentals 2.2.2 Programming Constructs 2.2.3 Data Types 2.2.4 String Manipulation 2.2.5 File Handling 2.2.6 SQL (Structured Query Language)2.2.7 Arrays 2.2.8 Subprograms 2.2.9 Random Number Generation

2.3 Producing Robust Programs

2.3.1 Defensive Design 2.3.2 Testing

2.4 Boolean Logic

2.4.1 Boolean Logic

2.5 Programming Languages and Integrated Development Environments

2.5.1 Languages 2.5.2 The Integrated Development Environment (IDE)

GCSE Computer Science · OCR

Performance

Completion

Proficiency

Course

1. Computer Systems

1.1 Systems Architecture

1.1.1 Architecture of the CPU 1.1.2 CPU Performance 1.1.3 Embedded Systems

1.2 Memory and Storage

1.2.1 Primary Storage (Memory)1.2.2 Secondary Storage 1.2.3 Units 1.2.4 Numbers 1.2.5 Characters 1.2.6 Images 1.2.7 Sound 1.2.8 Compression

1.3 Computer Networks, Connections and Protocols

1.3.1 Computer Networks 1.3.2 Network Types 1.3.3 Network Hardware 1.3.4 The Internet as a Collection of Networks 1.3.5 Network Topologies 1.3.6 Wired and Wireless Networks 1.3.7 Network Protocols 1.3.8 Protocol Layers

1.4 Network Security

1.4.1 Threats To Computer Systems and Networks 1.4.2 Identifying and Preventing Vulnerabilities

1.5 Systems Software

1.5.1 Operating Systems 1.5.2 Utility Software

1.6 Ethical, Legal, Cultural and Environmental Impacts of Digital Technology

1.6.1 Impacts of Digital Technology on Wider Society 1.6.2 Legislation Relevant to Computer Science 1.6.3 Software Licences

2. Computational Thinking, Algorithms and Programming

2.1.1 Computational Thinking 2.1.2 Designing, Creating and Refining Algorithms 2.1.3 Searching Algorithms 2.1.4 Sorting Algorithms

2.2 Programming Fundamentals

2.2.1 Programming Fundamentals 2.2.2 Programming Constructs 2.2.3 Data Types 2.2.4 String Manipulation 2.2.5 File Handling 2.2.6 SQL (Structured Query Language)2.2.7 Arrays 2.2.8 Subprograms 2.2.9 Random Number Generation

2.3 Producing Robust Programs

2.3.1 Defensive Design 2.3.2 Testing

2.4 Boolean Logic

2.4.1 Boolean Logic

2.5 Programming Languages and Integrated Development Environments

2.5.1 Languages 2.5.2 The Integrated Development Environment (IDE)

Subjects2.1 Algorithms2.1.3 Searching Algorithms

2.1.3 Searching Algorithms

In this lesson, you will learn how standard searching algorithms are used to find values in lists. You will explore binary search and linear search, apply each algorithm to data sets, compare how they work, and learn to recognise their key features in code or pseudocode.

SummaryRevision

Topic 1

Standard Searching Algorithms

Topic 2

Binary Search

Topic 3

Linear Search

Topic 4

Comparing Searching Algorithms

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