Advanced Data Structure

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KHUDKIBOOK
ADVANCED DATA STRUCTURE ME01000611
FREE PDF ME01000611
Code: ME01000611 Credits: 4 Semester 1 IT

Advanced Data Structure

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Advanced Data Structure Syllabus — Unit-wise Content

The official GTU curriculum for Advanced Data Structure (subject code ME01000611) as prescribed for IT · Semester 1 divides the course into 6 units, covering 35 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (ME01000611)

Unit 1 Dictionaries

6 lecture hours

  • Dictionary Abstract Data Type
  • Implementation of Dictionaries
  • Hashing: Review of Hashing
  • Hash Function
  • Collision Resolution Techniques in Hashing
  • Separate Chaining
  • Open Addressing
  • Linear Probing
  • Quadratic Probing
  • Double Hashing
  • Extendible Hashing

Unit 2 Skip Lists

5 lecture hours

  • Need for Randomizing Data Structures and Algorithms
  • Search and Update Operations on Skip Lists
  • Probabilistic Analysis of Skip Lists
  • Deterministic Skip Lists

Unit 3 Trees

  • Binary Search Trees
  • AVL Trees
  • Red Black Trees
  • Splay Trees 08 19

Unit 4 Text Processing

11 lecture hours

  • Sting Operations
  • Brute-Force Pattern Matching
  • The Boyer- Moore Algorithm
  • The Knuth-Morris-Pratt Algorithm
  • Standard Tries
  • Compressed Tries
  • Suffix Tries
  • The Huffman Coding Algorithm
  • The Longest Common Subsequence Problem (LCS)
  • Applying Dynamic Programming to the LCS Problem

Unit 5 Computational Geometry

10 lecture hours

  • One Dimensional Range Searching
  • Two Dimensional Range Searching
  • Constructing a Priority Search Tree
  • Searching a Priority Search Tree
  • Priority Range Trees

Unit 6 Recent Trends in Hashing, Trees, and various computational geometry

  • methods for efficiently solving the new evolving problem 05 10

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