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CS Revision Guides

CS2: Data Structures, Algorithms and Complexity

Year 1 / ASYear 2 / A-Level All Boards (AQA, Edexcel, OCR, WJEC, CCEA) AQA

Stacks, queues, linked lists, binary search trees, Big-O notation, Dijkstra's algorithm, sorting (Merge, Quick, Bubble).

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šŸ“‹ Key Definitions and Core Concepts

Big-O Notation: Mathematical classification of algorithmic efficiency in terms of time and space scaling with input size n.
Dijkstra's Algorithm: Single-source shortest path algorithm on weighted graphs using a priority queue.

šŸ” Key Principles & Specification Requirements

  • Time complexities: Binary search O(log n), Merge sort O(n log n), Bubble/Insertion sort O(n²), Hash table lookup O(1).
  • Data structures: Stack (LIFO: push/pop), Queue (FIFO: enqueue/dequeue), BST (left < node < right).
  • Graph traversals: Depth-First Search (DFS using stack/recursion), Breadth-First Search (BFS using queue).

šŸ’” Worked Example Question

Exam-Style Question

Question:

Trace a binary search for target 18 in array [2, 5, 8, 12, 16, 18, 24, 30].

Model Solution & Mark Scheme:

Array length 8, indices 0..7.
1. mid = (0+7)//2 = 3 (val = 12). 18 > 12 => search right half [4..7].
2. mid = (4+7)//2 = 5 (val = 18). 18 == 18 => Target found at index 5. (2 comparisons total).

ā“ Practice Questions & Mark Schemes

Q1: Explain the significance of Data Structures, Algorithms and Complexity in A-Level examination contexts.

Show Model Answer

Answer: Demonstrate clear conceptual understanding of Data Structures, Algorithms and Complexity, defining core terminology and citing relevant principles or case examples.

Q2: Evaluate key arguments or methodologies concerning Data Structures, Algorithms and Complexity.

Show Model Answer

Answer: Contrast competing perspectives, discuss empirical evidence or theoretical limitations, and synthesize a balanced, well-reasoned conclusion.

šŸŽ¬ Video Resources

šŸ“„ Past Papers & Exam Resources

šŸ”— Further Reading & Resources

🧠 Flashcards (Spaced Repetition)

šŸ“ Exam Questions by Topic

šŸŽÆ Target Tests (Auto-Graded)

šŸŽ“ Smart Lesson (Guided)