Semester Syllabus PDF
CSE - Regulation 2021
CS3301 Data Structures Syllabus - Anna University
Access the updated Anna University CS3301 syllabus for Data Structures on LearnSkart. This Anna University subject syllabus PDF presents the updated semester 3 syllabus aligned with Regulation 2021 for Computer Science and Engineering students and related branches. It covers unit-wise subject unit topics and supports exam preparation syllabus planning for internal assessments and semester examinations under Anna University engineering syllabus standards.
Whole Syllabus PDF
CSE - Regulation 2021
What you get on this page
This page provides the complete Anna University syllabus for CS3301 Data Structures (subject code: CS3301), following the latest Regulation 2021.It also provides syllabus overview of CS3301 Data Structures. You can easily view the syllabus directly on this page or download the official syllabus PDF for offline use. The syllabus is organized unit-wise, making it simple to understand each topic and plan your studies effectively. This helps students prepare for exams, manage internal assessments, and get a clear overview of what’s expected in each unit. All content is accurate, regularly updated, and designed for easy access, so you can trust you’re getting the latest information. Whether you’re looking for Anna University syllabus details, subject syllabus PDFs, or engineering notes, this section supports your academic journey and exam preparation with clarity and reliability.
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.
Frequently Asked Questions about LearnSkart Syllabus
Q1: What is LearnSkart?
LearnSkart is an academic platform that provides Anna University syllabus, previous year question papers, notes, and study resources to help engineering students prepare effectively for semester examinations.
Q2: Is the syllabus on LearnSkart updated according to Anna University regulations?
Yes. The syllabus provided on LearnSkart is aligned with the latest Anna University Regulation 2021 and 2025 syllabus for engineering courses.
Q3: Why is the Anna University syllabus important for exam preparation?
The official syllabus helps students understand unit-wise topics, important concepts, and the overall course structure required for internal and semester examinations.
Q4: Can I download the Anna University syllabus from LearnSkart?
LearnSkart provides easy access to Anna University syllabus pages where students can view the syllabus and understand all unit topics required for their subjects.