Put These Notes into Practice
Reading the notes is a great start. Now practice with unlimited AI-generated questions and get instant feedback. 100,000+ students are already improving their grades.
Computer Science 7517
9 sections available · 55 chapters available
Free Computer Science 7517 study notes for AQA A Level students. Each chapter breaks down a key concept with examples and practice prompts you can turn into AI drills in the thinka app.
Fundamentals of programming
Data types, variables and operations
Subroutines, parameters and scope
Stack frames and recursion
Programming paradigms and object-oriented programming
Aspects of software development
Fundamentals of data structures
Data structures and abstract data types
Queues
Stacks
Graphs
Trees (including binary trees)
Hash tables
Dictionaries
Vectors
Fundamentals of algorithms
Graph-traversal
Tree-traversal
Reverse Polish
Searching algorithms
Sorting algorithms
Optimisation algorithms
Theory of computation and functional programming
Abstraction and automation
Regular languages
Context-free languages
Classification of algorithms
A model of computation
Functional programming paradigm
Writing functional programs
Lists in functional programming
Fundamentals of data representation
Number systems
Number bases
Units of information
Binary number system
Information coding systems
Representing images, sound and other data
Data compression and encryption
Fundamentals of computer systems
Hardware and software
Classification of programming languages
Types of program translator
Logic gates
Boolean algebra
Computer organisation and architecture
Internal hardware components of a computer
The stored program concept
The processor, registers and the Fetch-Execute cycle
Machine code, addressing modes and assembly language
External hardware devices
Communication, networking and consequences of computing
Communication
Networking
The Internet and Internet security
The TCP/IP protocol
Consequences of uses of computing
Databases and Big Data
Conceptual data models and entity relationship modelling
Relational databases
Database design and normalisation techniques
Structured Query Language (SQL)
Client server databases
Big Data
Done reading? Test yourself with AI practice questions
Practice This Topic Now