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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)

Subjects2.3 Producing Robust Programs2.3.2 Testing

2.3.2 Testing

In this lesson, you will learn why programs are tested throughout and at the end of development. You will explore iterative and final testing, identify syntax and logic errors, select normal, boundary, invalid, and erroneous test data, construct test plans, and use testing results to refine algorithms so that programs work correctly and are easier to maintain.

SummaryRevision

Topic 1

The Purpose of Testing

Topic 2

Types of Testing

Topic 3

Identifying Syntax and Logic Errors

Topic 4

Selecting and Using Suitable Test Data

Topic 5

Test Plans

Topic 6

Refining Algorithms

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