CS3301 Data Structures Syllabus - Anna University
Explore the Anna University CS3301 Data Structures syllabus for Computer Science and Engineering students.
CS3301 DATA STRUCTURES
L T P C: 3 0 0 3
COURSE OBJECTIVES:
- To understand the concepts of ADTs.
- To Learn linear data structures - lists, stacks, and queues.
- To understand non-linear data structures - trees and graphs.
- To understand sorting, searching and hashing algorithms.
- To apply Tree and Graph structures.
UNIT I LISTS
Abstract Data Types (ADTs) - List ADT - Array-based implementation - Linked list implementation - Singly linked lists - Circularly linked lists - Doubly-linked lists - Applications of lists - Polynomial ADT - Radix Sort - Multilists.
UNIT II STACKS AND QUEUES
Stack ADT - Operations - Applications - Balancing Symbols - Evaluating arithmetic expressions- Infix to Postfix conversion - Function Calls - Queue ADT - Operations - Circular Queue - DeQueue - Applications of Queues.
UNIT III TREES
Tree ADT - Tree Traversals - Binary Tree ADT - Expression trees - Binary Search Tree ADT - AVL Trees - Priority Queue (Heaps) - Binary Heap.
UNIT IV MULTIWAY SEARCH TREES AND GRAPHS
B-Tree - B+ Tree - Graph Definition - Representation of Graphs - Types of Graph - Breadth-first traversal - Depth-first traversal - Bi-connectivity - Euler circuits - Topological Sort - Dijkstra's algorithm - Minimum Spanning Tree - Prim's algorithm - Kruskal's algorithm
UNIT V SEARCHING, SORTING AND HASHING TECHNIQUES
Searching - Linear Search - Binary Search. Sorting - Bubble sort - Selection sort - Insertion sort - Shell sort -. Merge Sort - Hashing - Hash Functions - Separate Chaining - Open Addressing -Rehashing - Extendible Hashing.
COURSE OUTCOMES:
At the end of this course, the students will be able to:
- CO1: Define linear and non-linear data structures.
- CO2: Implement linear and non-linear data structure operations.
- CO3: Use appropriate linear/non-linear data structure operations for solving a given problem.
- CO4: Apply appropriate graph algorithms for graph applications.
- CO5: Analyze the various searching and sorting algorithms.
TOTAL:45 PERIODS
TEXT BOOKS
- Mark Allen Weiss, Data Structures and Algorithm Analysis in C, 2nd Edition, Pearson Education, 2005.
- Kamthane, Introduction to Data Structures in C, 1st Edition, Pearson Education, 2007
REFERENCES
- Langsam, Augenstein and Tanenbaum, Data Structures Using C and C++, 2nd Edition, Pearson Education, 2015.
- Thomas H. Cormen, Charles E. Leiserson, Ronald L.Rivest, Clifford Stein, Introduction to Algorithms", Fourth Edition, Mcgraw Hill/ MIT Press, 2022.
- Alfred V. Aho, Jeffrey D. Ullman,John E. Hopcroft ,Data Structures and Algorithms, 1st edition, Pearson, 2002.
- Kruse, Data Structures and Program Design in C, 2nd Edition, Pearson Education, 2006.