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Data Structures & Algorithms Syllabus

Master core data structures and algorithmic techniques for problem solving and technical interviews. The full Data Structures & Algorithms syllabus: 7 subjects, 33 chapters and 111 topics, with 367 flashcards written against it.

7Subjects
33Chapters
111Topics
367Flashcards

Data Structures & Algorithms subjects

Data Structures & Algorithms has 7 subjects. Each one is listed below with its chapters in syllabus order; open a subject for every topic and sub-topic inside them.

Foundations & Complexity Analysis

4 chapters · 16 topics · 52 flashcards

  1. Algorithm Analysis Fundamentals · 4 topics
  2. Mathematical Preliminaries · 4 topics
  3. Recursion & Mathematical Induction · 4 topics
  4. Bit Manipulation · 4 topics

Linear Data Structures

4 chapters · 14 topics · 50 flashcards

  1. Arrays & Strings · 4 topics
  2. Linked Lists · 3 topics
  3. Stacks · 3 topics
  4. Queues & Deques · 4 topics

Hashing & Sorting

5 chapters · 18 topics · 51 flashcards

  1. Hash Tables · 4 topics
  2. Elementary Sorting · 4 topics
  3. Efficient Sorting · 4 topics
  4. Non-Comparison Sorting · 3 topics
  5. Searching Techniques · 3 topics

Trees & Hierarchical Structures

5 chapters · 16 topics · 50 flashcards

  1. Tree Fundamentals · 3 topics
  2. Binary Search Trees · 3 topics
  3. Balanced Trees · 4 topics
  4. Heaps & Priority Queues · 3 topics
  5. Tries & Specialized Trees · 3 topics

Graphs & Advanced Structures

6 chapters · 17 topics · 56 flashcards

  1. Graph Representation · 2 topics
  2. Graph Traversal · 3 topics
  3. Shortest Path Algorithms · 4 topics
  4. Minimum Spanning Trees · 2 topics
  5. Disjoint Set Union · 3 topics
  6. Advanced Graph Topics · 3 topics

Algorithmic Paradigms

5 chapters · 16 topics · 52 flashcards

  1. Divide & Conquer · 3 topics
  2. Greedy Algorithms · 3 topics
  3. Dynamic Programming · 5 topics
  4. Backtracking · 3 topics
  5. Branch & Bound · 2 topics

Specialized Algorithms & Interview Prep

4 chapters · 14 topics · 56 flashcards

  1. String Algorithms · 4 topics
  2. Computational Complexity · 3 topics
  3. Problem-Solving Patterns · 3 topics
  4. Interview Strategy · 4 topics

Data Structures & Algorithms flashcards

367 question-and-answer cards across 7 subject decks, each shown in full on its subject page.

Data Structures & Algorithms syllabus FAQ

What subjects are in the Data Structures & Algorithms syllabus?

Data Structures & Algorithms covers 7 subjects: Foundations & Complexity Analysis, Linear Data Structures, Hashing & Sorting, Trees & Hierarchical Structures, Graphs & Advanced Structures, Algorithmic Paradigms and Specialized Algorithms & Interview Prep.

How many chapters and topics are in the Data Structures & Algorithms syllabus?

33 chapters and 111 topics, across 7 subjects. Hashing & Sorting is the largest subject, with 18 topics in 5 chapters.

Are there Data Structures & Algorithms flashcards?

Yes — 367 question-and-answer flashcards in 7 subject decks. Each deck is printed in full on its subject page here, and the same cards are in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.

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