cs

Data representation is how information is stored and organized in computers.

Multimedia in computer science combines text, audio, video, and graphics for interactive content.

Compression in computer science encodes data to reduce size while preserving essential information.

The internet at AS-level covers global connections and data sharing through protocols and services.

AS-level networking covers device communication, protocols, and network types.

AS-level hardware and storage covers computer components and devices like CPUs, RAM, and HDDs/SSDs.

AS-level input and output devices cover data reception (e.g., scanner) and display (e.g., speakers).

AS-level logic gates perform basic operations (AND, OR, NOT) on binary data.

AS-level monitoring and control systems use sensors and software to manage processes.

Processor fundamentals cover how the CPU executes instructions using clock speed, cores, and cache.

Assembly language uses symbolic instructions to directly control hardware.

Bit manipulation involves altering data at the bit level using operations like AND, OR, and shifts.

Information Representation Complete

Ch2 Communication Complete

Ch 3 Hardware Complete

Ch 4 Processor Fundamentals Complete

System software manages hardware and allows applications to run.

Covers how language translators convert high-level code into machine code for execution.

Data Security covers protecting data from unauthorized access and threats.

Data Integrity ensures data accuracy, consistency, and reliability.

Ethics and Ownership covers responsible technology use, privacy, and intellectual property.

In AS-level Computer Science, a database is an organized system for storing and retrieving data.

The chapter on DBMS covers how data is stored, organized, and managed efficiently.

The chapter covers DDL for defining structures and DML for manipulating data.

Ch 5 System Software Complete

Ch 6 Security Privacy and Integrity Complete

Ch 7 Ethics and Ownership Complete

Ch 8 Databases Complete

Computational Thinking (9.1) focuses on problem-solving with algorithms and abstraction

Algorithms (9.2) focuses on designing and analyzing efficient problem-solving procedures.

Arrays and Algorithms (10.2) covers using arrays and algorithms to process data efficiently

Files (10.3) covers reading from and writing to files for data storage and retrieval.

ADTs are data structures defined by their operations, like stacks and queues.

Built-in functions are pre-defined operations for common tasks in programming.

Structured programming uses functions, loops, and conditionals for clearer, maintainable code