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Subjects
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Computer Science (CS) SL

IB Sciences • SL

Computer Science (CS) SL

Browse the full topic structure and open study materials for Computer Science (CS) SL.

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1 System Fundamentals

1.1 Systems in Organisations

1.1.1 New System Planning in Organisations

1.1.2 Change Management in Systems

1.1.3 Compatibility and Legacy Challenges in Organisations

1.1.4 Remote Systems and Software as a Service (SaaS)

1.1.5 Installation Processes in Systems Development

1.1.6 Data Migration in Systems

1.1.7 System Testing in Organisations

1.1.8 User Documentation in System Implementation

1.1.9 User Training in System Implementation

1.1.10 Data Loss and Software Deployment

1.2 System Design Basics

1.2.1 Computer System Components

1.2.2 Stakeholders in System Planning

1.2.3 Information Gathering for System Solutions

1.2.4 Prototyping and Iteration in System Design

1.2.5 Social and Ethical Issues in IT Systems

1.2.6 Human and Machine Interaction

2 Computer Organisation

2.1 Basic Architecture

2.1.1 Central Processing Unit (CPU)

2.1.2 Primary Memory

2.2 Advanced Memory

2.2.1 Cache Memory

2.2.2 Persistent Storage

2.3 Application Software

2.3.1 Types of Application Software

2.3.2 Common Features of Applications

2.4 Data Representation

2.4.1 Understanding Data Types

2.5 Logic in Computing

2.5.1 Introduction to Boolean Operators and Truth Tables

2.5.2 Logic Diagrams in Computing

4 Networks

4.1 Network Fundamentals

4.1.1 Types of Networks

4.1.2 Importance of Standards

4.1.3 Network Communication Layers

4.1.4 Virtual Private Network (VPN)

4.2 Data Transmission

4.2.1 Protocols and Data Packets

4.2.2 Transmission Media

4.3 Wireless Networking

4.3.1 Pros and Cons of Wireless Networks

4.3.2 Wireless Network Security

4.4 General Principles

4.4.1 Identifying Problem-Solving Procedures in Computer Science

4.4.2 Evaluating Activity Sequences

4.4.3 Role of Sub-Procedures in Problem Solving

4.4.4 Decision-Making in Procedures

4.4.5 Conditions in Decision-Making

4.4.6 Inputs and Outputs in Solutions

4.4.7 Pre-Planning in Problem-Solving

4.4.8 Understanding Pre-Conditions

4.4.9 Handling Exceptions in Solutions

4.4.10 Concurrent Processing in Solutions

4.4.11 Abstraction in Computational Solutions

4.5 Connecting Computational Thinking and Program Design

4.5.1 Understanding and Applying Standard Algorithms

4.5.2 Algorithm Analysis and Construction

4.5.3 Efficiency and Execution of Algorithms

4.5.4 Real-World Application and Problem-Solving in Computational Thinking

4.5.5 Advanced Computational Thinking in IB Computer Science

4.6 Introduction to Programming

4.6.1 Introduction to Fundamental Computer Operations

4.6.2 Compound Computer Operations

4.6.3 Characteristics of Computer Languages

4.6.4 Necessity for Higher-Level Languages

4.6.5 Translation to Executable Code

4.6.6 Understanding Variables, Constants, and Operators

4.6.7 Algorithm Construction with Loops and Branching

4.6.8 Collections in Programming

4.6.9 The Role of Sub-Programmes in Programming

4.6.10 Ethical Implications in Programming