Algorithm design
Cambridge IGCSE Computer Science (0478) · Unit 7: Algorithm design and problem solving · 9 flashcards
Algorithm design is topic 7.1 in the Cambridge IGCSE Computer Science (0478) syllabus , positioned in Unit 7 — Algorithm design and problem solving , alongside Searching and sorting and Testing and validation. In one line: An algorithm is a step-by-step procedure or set of instructions for solving a problem. Its importance lies in providing a clear and structured approach to problem-solving, enabling efficient program creation and execution.
This topic is examined in Paper 1 (computer systems theory) and Paper 2 (algorithms, programming and logic).
The deck below contains 9 flashcards — 8 definitions and 1 key concept — covering the precise wording mark schemes reward. Use the 8 definition cards to lock down command-word answers (define, state), then move on to the concept and application cards to handle explain, describe and compare questions.
The term 'algorithm' and explain its importance in computer science
An algorithm is a step-by-step procedure or set of instructions for solving a problem. Its importance lies in providing a clear and structured approach to problem-solving, enabling efficient program creation and execution.
What the Cambridge 0478 syllabus says
Official 2026-2028 specThese are the exact learning objectives Cambridge sets for this topic. Match the command word (Describe, Explain, State, etc.) in your answer to score full marks.
- Understand Understand the program development life cycle including analysis, design, coding and testing
- Understand Understand that every computer system is made up of sub-systems, which are made up of further sub-systems
- Understand Understand how a problem can be decomposed into its component parts including inputs, processes, outputs, storage
- Use Use different methods to design and construct a solution to a problem including structure diagrams, flowcharts, pseudocode
- Explain Explain the purpose of a given algorithm including stating the purpose and describing the processes involved
- Understand Understand standard methods of solution including linear search, bubble sort, totalling, counting, finding maximum, minimum and average values
- Understand Understand the need for validation checks including range check, length check, type check, presence check, format check, check digit
- Understand Understand the need for verification checks including visual check and double entry check
- Suggest Suggest and apply suitable test data including normal, abnormal, extreme, boundary
- Complete Complete a trace table to document a dry-run of an algorithm
- Identify Identify errors in given algorithms and suggest ways of correcting these errors
- Write Write and amend algorithms for given problems or scenarios, using pseudocode, program code and flowcharts
Define the term 'algorithm' and explain its importance in computer science.
An algorithm is a step-by-step procedure or set of instructions for solving a problem. Its importance lies in providing a clear and structured approach to problem-solving, enabling efficient program creation and execution.
Explain the purpose of pseudocode in algorithm design and provide an example.
Pseudocode is a human-readable, informal language used to describe an algorithm's logic without strict syntax.
Describe the role of a flowchart in representing an algorithm. Provide 2 flowchart symbols and their meanings.
Flowcharts use diagrams with symbols to visually represent the flow of an algorithm.
Explain the purpose of a trace table in algorithm testing.
A trace table is used to manually test an algorithm by tracking the values of variables as the algorithm executes step-by-step. It helps identify errors in logic or calculations.
What is 'decomposition' in the context of algorithm design, and why is it beneficial?
Decomposition is breaking down a complex problem into smaller, more manageable sub-problems. This makes the problem easier to understand, solve, and test.
Define 'abstraction' as it relates to algorithm design and provide an example.
Abstraction involves hiding complex implementation details and focusing on essential features or functionalities.
Describe 'sequence' as a basic control structure in algorithm design. Give an example.
Sequence refers to the execution of instructions in a linear, step-by-step order.
Explain 'selection' and provide an example of its implementation in pseudocode.
Selection allows an algorithm to choose between different paths of execution based on a condition.
Define 'iteration' and explain its purpose within algorithms. Give an example.
Iteration (or looping) is the repetition of a block of code until a condition is met.
Key Questions: Algorithm design
Define the term 'algorithm' and explain its importance in computer science.
An algorithm is a step-by-step procedure or set of instructions for solving a problem. Its importance lies in providing a clear and structured approach to problem-solving, enabling efficient program creation and execution.
Explain the purpose of pseudocode in algorithm design and provide an example.
Pseudocode is a human-readable, informal language used to describe an algorithm's logic without strict syntax.
Describe the role of a flowchart in representing an algorithm. Provide 2 flowchart symbols and their meanings.
Flowcharts use diagrams with symbols to visually represent the flow of an algorithm.
Explain the purpose of a trace table in algorithm testing.
A trace table is used to manually test an algorithm by tracking the values of variables as the algorithm executes step-by-step. It helps identify errors in logic or calculations.
Define 'abstraction' as it relates to algorithm design and provide an example.
Abstraction involves hiding complex implementation details and focusing on essential features or functionalities.
More topics in Unit 7 — Algorithm design and problem solving
Algorithm design sits alongside these Computer Science decks in the same syllabus unit. Each uses the same spaced-repetition system, so progress in one informs the next.
Cambridge syllabus keywords to use in your answers
These are the official Cambridge 0478 terms tagged to this section. Mark schemes credit responses that use the exact term — weave them into your answers verbatim rather than paraphrasing.
Key terms covered in this Algorithm design deck
Every term below is defined in the flashcards above. Use the list as a quick recall test before your exam — if you can't define one of these in your own words, flip back to that card.
How to study this Algorithm design deck
Start in Study Mode, attempt each card before flipping, then rate Hard, Okay or Easy. Cards you rate Hard come back within a day; cards you rate Easy push out to weeks. Your progress is saved in your browser, so come back daily for 5–10 minute reviews until every card reads Mastered.
Study Mode
Space to flip • ←→ to navigate • Esc to close
You're on a roll!
You've viewed 10 topics today
Create a free account to unlock unlimited access to all revision notes, flashcards, and study materials.
You're all set!
Enjoy unlimited access to all study materials.
Something went wrong. Please try again.
What you'll get:
- Unlimited revision notes & flashcards
- Track your study progress
- No spam, just study updates