Admission Help Desk
CET Code: E209
COMEDK Code: E156
Call us for more @ +91 90711 17475

Announcements >>

Hands-On Session on Data Structures

Subject: Data Structures(18CS32)
Title: Hands-On Session on Data Structures
Date: [I7/01/2022 & 02/02/2022]
Faculty In-Charge: Dr.Abhishek K
Venue: 4 th Floor Lab

1. Objective:
To provide students with practical exposure to core data structure concepts such as arrays, linked lists, stacks, queues, trees, and graphs through hands-on programming sessions in the laboratory environment.

2. Description of the Session:
As a part of the Data Structures laboratory curriculum, a hands-on session was conducted for students of 2 nd year to enhance their understanding of theoretical concepts through practical implementation. Students were provided with a set of programming problems covering the following topics:
 Implementation of arrays and linked lists
 Stack and queue operations using arrays and linked lists
 Tree traversal techniques (Inorder, Preorder, Postorder)
 Graph representation and traversal (BFS and DFS)
Students utilized programming languages such as C/C++/Python to implement these structures, depending on their familiarity and course requirements.

3. Learning Outcomes:
By the end of the session, students were able to:
 Understand memory representation of various data structures
 Implement basic operations such as insertion, deletion, traversal, and searching
 Apply appropriate data structures to solve computational problems
 Develop problem-solving and debugging skills in a programming environment

4. Session Highlights:
 Interactive coding with real-time problem solving
 One-on-one mentoring during the session
 Live debugging demonstrations
 Emphasis on algorithmic efficiency and code optimization

5. Conclusion:
The hands-on session provided a valuable learning experience for the students. It bridged the gap between theoretical knowledge and practical application, equipping them with essential programming skills needed for solving real-world problems using data structures.

Facebook
Twitter
LinkedIn
Email