Data Structures (3130702)

Teaching Scheme (in Hours)

Theory Tutorial Practical Total
3 0 4 5

Subject Credit :  5

Theory
ESE (E)
Theory
PA (M)
Practical
ESE Viva (V)
Practical
PA (I)
Total
70 30 30 20 150

Syllabus Content

Unit-1:  Introduction to Data Structure

Data Management concepts, Data types – primitive and non-primitive, Performance Analysis and Measurement (Time and space analysis of algorithms-Average, best and worst case analysis), Types of Data Structures- Linear & Non Linear Data Structures.

Unit-2:  Linear Data Structure

Array: Representation of arrays, Applications of arrays, sparse matrix and its representation Stack: Stack-Definitions & Concepts, Operations On Stacks, Applications of Stacks, Polish Expression, Reverse Polish Expression And Their Compilation, Recursion, Tower of Hanoi Queue: Representation Of Queue, Operations On Queue, Circular Queue, Priority Queue, Array representation of Priority Queue, Double Ended Queue, Applications of Queue Linked List: Singly Linked List, Doubly Linked list, Circular linked list ,Linked implementation of Stack, Linked implementation of Queue, Applications of linked list

Unit-3:  Nonlinear Data Structure

Tree-Definitions and Concepts, Representation of binary tree, Binary tree traversal (Inorder, postorder, preorder), Threaded binary tree, Binary search trees, Conversion of General Trees To Binary Trees, Applications Of TreesSome balanced tree mechanism, eg. AVL trees, 2-3 trees, Height Balanced, Weight Balance, Graph-Matrix Representation Of Graphs, Elementary Graph operations,(Breadth First Search, Depth First Search, Spanning Trees, Shortest path, Minimal spanning tree )

Unit-4:  Hashing And File Structures

Hashing: The symbol table, Hashing Functions, CollisionResolution Techniques
File Structure: Concepts of fields, records and files, Sequential, Indexed and Relative/Random File Organization, Indexing structure for index files, hashing for direct files, Multi-Key file organization and access methods.

Unit-5:  Sorting & Searching

Sorting – Bubble Sort, Selection Sort, Quick Sort, Merge Sort Searching – Sequential Search and Binary Search

Course Outcome

• Differentiate primitive and non primitive structures
• Design and apply appropriate data structures for solving computing problems
• Apply sorting and searching algorithms to the small and large data sets

BE (CE) ⇒ Semester: 3

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