IB Computer Science 2027 – Topic A: Complete A Paper Bundle

IB Computer Science 2027 – Theme A: Complete A Paper Bundle

A complete teaching resource bundle covering Theme A: Concepts of Computer Science for the new IB Computer Science 2027 syllabus.

This comprehensive bundle includes classroom-ready lessons covering computer fundamentals, networks, databases and machine learning. Each lesson includes a presentation, student worksheet and mark scheme.

What’s Included

• Complete Theme A lesson presentations
• Student worksheets for every lesson
• Mark schemes / answer documents
• Classroom activities
• Student tasks
• Exam-focused questions
• Real-world scenarios
• Practical and application-based activities
• Resources for both SL and HL
• Coverage of all four Theme A topics

Syllabus Coverage A1 – Computer Fundamentals

Covers the key concepts of computer systems, including:

• Computer architecture
• Operating systems
• Data representation
• System software
• Computer organisation
• Emerging technologies

A2 – Networks

Covers:

• Network characteristics
• Digital infrastructures
• Network devices
• Network protocols
• TCP/IP model
• Network topologies
• Network servers
• Network models
• Network segmentation
• IP addressing
• Data transmission
• Packet switching
• Static and dynamic routing
• Firewalls
• Network vulnerabilities
• Network countermeasures
• Encryption and digital certificates

A3 – Databases

Covers:

• Relational databases
• Database schemas
• Entity relationship diagrams
• Data types
• Constructing tables
• Normal forms
• Database scenarios
• Denormalising databases
• Data language types
• Constructing queries in SQL
• Updating data with SQL
• SQL aggregate functions
• Database views
• Database transactions
• Different types of databases
• Data warehouses
• OLAP and data mining
• Distributed databases

A4 – Machine Learning

Covers:

• Types of machine learning
• Hardware required for machine learning
• Data cleaning
• Feature engineering
• Dimensionality reduction
• Linear regression
• Classification
• Model evaluation
• Hyperparameters
• Unsupervised learning
• Reinforcement learning
• Genetic algorithms
• Artificial neural networks
• Convolutional neural networks
• Model selection
• Ethical considerations

Suitable For

• IB Diploma Programme Computer Science
• Standard Level (SL) and Higher Level (HL)
• New 2027 Computer Science syllabus
• First assessment: May 2027
• Secondary students aged 16–18

Resource Type

Complete Theme A Bundle

A comprehensive, ready-to-use resource for teaching the complete A Paper content, with presentations, worksheets and mark schemes for every lesson.

The new IB Computer Science course is first assessed in May 2027.

These are original teaching resources and are not affiliated with, endorsed by, or produced by the International Baccalaureate Organization (IBO).