Learning objective
Abstract data types/data structures: Be familiar with the concept and uses of a: • queue • stack • graph • tree • hash table • dictionary • vector. Be able to use these abstract data types and their equivalent data structures in simple contexts. Students should also be familiar with methods for representing them when a programming language does not support these structures as built-in types. Be able to distinguish between static and dynamic structures and compare their uses, as well as explaining the advantages and disadvantages of each. Describe the creation and maintenance of data within: • queues (linear, circular, priority) • stacks • hash tables.
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Data structures and abstract data types
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Abstract data types/data structures
Aqa A Level Computer ScienceFundamentals of data structures
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Quick explanation
Abstract data types/data structures: Be familiar with the concept and uses of a: • queue • stack • graph • tree • hash table • dictionary • vector. Be able to use these abstract data types and their equivalent data structures in simple contexts. Students should also be familiar with methods for representing them when a programming language does not support these structures as built-in types. Be able to distinguish between static and dynamic structures and compare their uses, as well as explaining the advantages and disadvantages of each. Describe the creation and maintenance of data within: • queues (linear, circular, priority) • stacks • hash tables
- This point belongs to Data structures and abstract data types, especially Abstract data types/data structures.
- You need to be able to abstract data types/data structures: Be familiar with the concept and uses of a: • queue • stack • graph • tree • hash table • dictionary • vector. Be able to use these abstract data types and their equivalent data structures in simple contexts. Students should also be familiar with methods for representing them when a programming language does not support these structures as built-in types. Be able to distinguish between static and dynamic structures and compare their uses, as well as explaining the advantages and disadvantages of each. Describe the creation and maintenance of data within: • queues (linear, circular, priority) • stacks • hash tables.
- Use the linked flashcards and practice questions to check recall, then practise applying the idea in an exam-style answer.
Why it matters
This objective helps connect Abstract data types/data structures to exam-style questions, flashcards, and revision notes for Data structures and abstract data types.
Quick student answer
Which abstract data type follows the first-in, first-out principle?
Direct answer
A queue
Key terms
- Abstract data type: A logical description of a type of data and the operations that can be performed on it, independent of how it is implemented.
- Priority queue: A queue in which the next item removed is selected according to priority rather than simply by arrival order.
Common trap
Confusing a stack with a queue: Remember that a stack is LIFO and a queue is FIFO. Relate the rule to the end from which items are removed.
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