Computer Science study guides

A deep-dive Eduqas Component 2 guide to computer architecture and hardware (specification section 3.1). Covers the CPU components and the Von Neumann and Harvard architectures, the fetch-decode-execute cycle and registers, assembly language and addressing modes, CPU performance (RISC, CISC, pipelining, parallelism), the memory hierarchy and storage, and networks with topologies and models.

A deep-dive Eduqas Component 1 guide to data structures and algorithms (specification sections 2.1 and 2.2). Covers static structures (arrays and records), dynamic structures (stacks, queues and linked lists), trees, graphs and hash tables, the searching and sorting algorithms, recursion, and Big-O complexity, with the exam patterns Eduqas repeats.

A deep-dive Eduqas Component 2 guide to data transmission and representation (sections 3.2 to 3.4). Covers serial and parallel transmission with TCP/IP, binary, hexadecimal and two's complement, floating-point and normalisation, representing text, images and sound, compression, encryption and error checking, and relational databases with SQL and normalisation.

A deep-dive Eduqas Component 2 guide to functional programming and the operating system (sections 3.5 to 3.7). Covers the functional paradigm with pure functions and immutability, higher-order functions (map, filter, fold), the operating system with scheduling and interrupts, memory management with paging and virtual memory, and software applications, utilities and licensing.

A deep-dive Eduqas Component 1 guide to programming principles and construction (specification sections 2.3 to 2.5). Covers logical operations and Boolean algebra, primitive data types, variables, scope and the three constructs, procedural and object-oriented programming, translators and the stages of compilation, IDEs and maintainable code, and testing for correctness.

A deep-dive Eduqas Component 1 guide to software engineering and society (specification sections 2.6 to 2.9). Covers software engineering tools and version control, systems analysis and feasibility, system design and the data dictionary, the software development lifecycle with waterfall and agile, and the economic, moral, legal, ethical and cultural impact of computing.