The Cambridge International AS Level Computer Science (9618) syllabus develops a deeper understanding of computational thinking, programming, and computer systems. At AS Level, students typically sit two papers:

Paper 1 – Theory Fundamentals (Written Paper)

Paper 1 assesses knowledge, understanding, and analytical skills in core computer science concepts. Questions may include structured, short-answer, and extended-response formats.

Information Representation

• Number systems: binary, hexadecimal, and decimal.

• Conversion between number systems.

• Binary arithmetic.

• Representation of text (ASCII, Unicode).

• Representation of images and sound.

• Data compression methods.

• Encryption and hashing basics.

Communication

• Networking fundamentals: LAN, WAN.

• Network topologies and protocols.

• Client-server and peer-to-peer models.

• Internet structure and packet switching.

• Security risks in networks.

Hardware and Virtual Machines

• Processor components: ALU, control unit, registers.

• Fetch–decode–execute cycle.

• Memory types: RAM, ROM, cache.

• Secondary storage devices.

• Virtual machines and abstraction layers.

System Software

• Operating system functions.

• Memory management and scheduling.

• Interrupts and buffers.

• Translation software: assembler, compiler, interpreter.

Security and Data Integrity

• Threats: malware, phishing, hacking.

• Authentication methods.

• Encryption techniques.

• Social engineering risks.

Paper 2 – Fundamentals of Problem Solving and Programming (Written Paper)

Paper 2 focuses on algorithm design and programming skills using pseudocode. Students are assessed on logical thinking and structured problem-solving.

Algorithm Design

• Problem decomposition.

• Structure diagrams.

• Pseudocode conventions.

• Flowcharts.

Programming Concepts

• Variables, constants, data types.

• Operators (arithmetic, logical, relational).

• Control structures: sequence, selection, iteration.

• Nested structures.

Data Structures

• Arrays (1D and 2D).

• Records.

• Strings and string manipulation.

Procedures and Functions

• Parameter passing.

• Local vs global variables.

• Modular programming.

• Return values.

File Processing

• Reading and writing data files.

• Sequential file access.

• Validation and verification.

Testing and Debugging

• Types of errors (syntax, logic, runtime).

• Trace tables.

• Dry runs.

• Test plans and validation.

Key Notes

• Paper 1 focuses on theoretical understanding and conceptual clarity.

• Paper 2 focuses on algorithmic thinking and structured programming.

• Strong logical reasoning and consistent pseudocode practice are essential for success.

• Theory and programming skills support each other and should be studied together.

This recorded lecture series is designed to systematically guide students through each topic, ensuring conceptual depth, exam readiness, and strong problem-solving skills for AS Level Computer Science.