IB Computer Science Revision Guide

CPU components and the fetch-decode-execute cycle, primary memory, secondary storage, compression and cloud services — plus number bases, data representation, logic gates and truth tables, and what the operating system does.

What networks are for, the devices and protocols that make them work, topologies and layered models, IP addressing, transmission media, packet switching and routing, and the firewalls and encryption that secure them.

Relational databases, keys and referential integrity, schemas and ERDs, data types, the normal forms and normalising to 3NF, when to denormalise, and SQL from SELECT through joins to transactions.

Supervised, unsupervised and reinforcement learning, why training and inference need different hardware, and the ethics of algorithmic bias and of the everyday technology built on it.

Specifying a problem, decomposition and abstraction, tracing algorithms, then variables and data types, control structures, arrays, stacks and queues, Big O, searching and sorting, and file processing.

Classes and objects, the difference between static and non-static members, designing classes from a description, and why encapsulation lets an object enforce its own rules.