Report

on

Campus Recruitment Training Phase-II

For CSE / AIML / BCA – 6th Semester Students
Duration: 9 March 2026 – 13 March 2026
Focus Areas: Soft Skills & Problem Solving using Python / Java

1. Introduction

A Campus Recruitment Training program was conducted for the students of Computer Science Engineering (CSE), Artificial Intelligence & Machine Learning (AIML), and Bachelor of Computer Applications (BCA) of the 6th semester from 9 March to 13 March 2026.The objective of this training was to prepare students for upcoming campus placement drives by strengthening their technical problem-solving abilities and essential soft skills required in the recruitment process.

2. Objectives of the Training

The main objectives of the training program were:

  • To enhance students' communication and interpersonal skills.
  • To develop logical thinking and problem-solving abilities.
  • To introduce coding practice using Python and Java for placement preparation.
  • To familiarize students with aptitude tests, technical interviews, and HR interviews.
  • To build confidence for group discussions and professional interactions.

3. Training Modules

The training program was divided into two major modules:

A. Soft Skills Development

The soft skills sessions focused on improving the overall personality and communication abilities of the students. Topics covered included:

  • Effective Communication Skills
  • Resume Building and Presentation
  • Group Discussion Techniques
  • Interview Preparation (Technical & HR)
  • Professional Etiquette and Body Language
  • Time Management and Teamwork

Interactive activities, role plays, and mock interviews were conducted to help students practice these skills.

B. Problem Solving Using Python / Java

Technical sessions focused on improving coding and logical problem-solving skills using Python and Java. Key topics included:

  • Basics of Problem Solving and Algorithmic Thinking
  • Control Structures and Loops
  • Arrays and Strings
  • Functions and Modular Programming
  • Basic Data Structures Concepts
  • Practice Problems for Placement Preparation

Students were encouraged to solve coding problems individually and in groups to strengthen their analytical abilities.

4. Training Methodology

The training sessions were conducted using a combination of:

  • Interactive lectures
  • Coding practice sessions
  • Group discussions
  • Mock interviews
  • Real-world problem-solving exercises

Students actively participated in discussions and coding activities throughout the training program.

5. Outcomes of the Training

The training program helped students to:

  • Improve their confidence in communication and interviews.
  • Develop better logical thinking and programming skills.
  • Understand the structure of campus recruitment processes.
  • Gain hands-on experience in solving programming problems using Python and Java.

6. Conclusion

The Campus Recruitment Training held from 9–13 March 2026 proved to be highly beneficial for the CSE, AIML, and BCA 6th semester students. The sessions provided valuable guidance on both technical and soft skill aspects required for campus placements.

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