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Computer Science Engineering

About CSE

Overview

Advisory board

Facilities

Industrial visit

Research centre

Events & Workshops

Facilities

The Department of Computer Science and Engineering at Sambhram Institute of Technology, affiliated with Visvesvaraya Technological University (VTU), boasts state-of-the-art computing facilities designed to support advanced academic and research activities. Each laboratory is meticulously designed to accommodate 30 students per session, fostering an environment conducive to collaborative learning and hands-on experience. The department is equipped with a total of 287 computer systems, complemented by essential peripheral devices, to ensure comprehensive access to cutting-edge technology.

To guarantee uninterrupted learning and research, all laboratories are supported by an efficient UPS power backup system. Additionally, the computer systems are seamlessly connected through a robust Wi-Fi and Local Area Network (LAN), enabling efficient data exchange and resource sharing across the laboratories. Furthermore, all laboratories are equipped with modern projector facilities to facilitate interactive teaching, presentations, and demonstrations. These facilities collectively provide an optimal environment for students and faculty to engage in academic excellence and technological innovation.

The Department has a well-furnished Seminar hall with a Smart Board, Audio System and Projector facility. Seminars, Workshops, Technical Talks and various other technical and non-technical events are conducted regularly in the seminar hall for the benefit of students

The details about the various laboratories are as follows:

SL.NO. Lab Names Total Systems Operating System Software & Version
1 Computer Network Lab 30 Ubuntu-18.0 NS3, JDK1.8, Eclipse Mars
2 C Programming & Data Structure Lab 31 Fedora GCC
3 AI & ML 36 Windows 10 Anaconda
4 System Software & OS 27 Fedora GCC
5 Mobile Applications and Development 30 Windows10 Android-Flamingo
6 Micro Controller Lab 29 Windows 7 Keil,Flashmagic
7 Computer Graphics Lab 27 Windows XP Visual Studio-6
8 DBMS Lab 27 Windows XP Oracle Express Edition 10
9 ADE Lab 29 Windows 7 Xylinx-12,Multi Sim
10 R Programming Lab 85 Windows 10 R-Studio
11 DAA Lab 85 Windows 10 JDK 1.8,Eclipse Mars

 

COMPUTER PROGRAMMING LABORATORY

 

This is the first computer laboratory that the students are introduced to in their first year of engineering. In this lab students get an opportunity to understand simple problem statements and identify appropriate solutions. They understand how to use an Integrated Development Environment (IDE), C Compiler, and identify and rectify the syntax and semantic errors during programming. Students understand the process of development of algorithms and programs using constructs of C programming language.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

DATA STRUCTURES & ALGORITHMS LABORATORY

Students are introduced to Data Structures laboratory in the 3rd semester and Algorithms Lab in the 4th semester. In Data Structures laboratory, basic data structures like arrays, stacks, queues, linked lists, trees etc. and operations associated with them are implemented using C programming language. In Algorithms lab, students design, develop and implement algorithms for various problems like Sorting, Searching, Knapsack Problem, Single Source Shortest Path problem, Minimal Spanning Tree problem, All Pairs Shortest Path problem etc. using C or JAVA programming language.

DBMS LABORATORY

Students get introduced to DBMS lab in the 4th semester. In this lab, students will design, develop, and implement specified queries for a variety of problems using Oracle, MySQL, MS SQL Server, or any other DBMS under LINUX/Windows environment. Students will also create Schema and insert records in tables and add appropriate database constraints. In addition, the students must also develop a simple database application using Java, C#, PHP, Python, or any other similar front-end tool as a mini project.

WEB TECHNOLOGY LABORATORY

Students get introduced to WT lab in the 5th semester. In this lab, students learn HTML 5 elements and their use, use of CSS for enhanced user interface presentation. Students also gain knowledge of JavaScript, AJAX, PHP and jQuery for dynamic presentation. From the knowledge gained in this lab, students will be in a position to design and develop Websites and Web applications.

WEB TECHNOLOGY LABORATORY

Students get introduced to ML lab in the 6th semester. In this lab, students get introduced to various machine learning algorithms such as similarity-based learning, regression, decision trees, and clustering. Students also become familiar with data and visualize univariate, bivariate, and multivariate data using statistical techniques and dimensionality reduction. Students familiarize themselves with learning theories, probability-based models and develop the skills required for decision-making in dynamic environments

Classrooms with Projectors & Seminar Hall with Smart Board and Projector

Teaching Learning Process

Teaching is an active process where information is shared to help individuals improve, while learning is the assimilation of this information, leading to personal growth. The teaching-learning process is a planned interaction aimed at promoting progress, distinct from natural growth or coincidence.

The objective of the teaching-learning process is to define the scope of a degree program or course and the overall learning outcomes. The university designs courses based on current industry needs, and the department follows an advanced teaching-learning process to meet these requirements and enhance student competency. This includes faculty preparing PowerPoint presentations and using pedagogical methods with analogies.

To improve faculty quality, the department organizes Faculty Development Programs (FDPs) and sends faculty members to attend FDPs at industries like Infosys, Wipro, and other universities. The department’s teaching-learning process aims to strengthen students’ skills and achieve good university results, making them industry-ready.

At the start of each academic year, students are divided into groups of 15-20, each supervised by a faculty member (proctor). The proctor tracks students’ progress through feedback, attendance, and addresses learning challenges. These groups focus on improving communication skills and confidence through presentations, group discussions, and debates.

The department’s strong teaching-learning process contributes to excellent university results and the production of university rank holders. Additionally, industry experts and academicians are invited to share knowledge on emerging technologies and industry trends, further enhancing the students’ learning

Industry Partnerships and MoUs

Sl. No.

Organization Name

MOU signed date

1

Information Data Systems

14/06/2024

 

2

IBM India private limited

26/12/2023(5 years)

3

ExcelR Edtech Private Limited

07/12/2023(2 years)

4

Creatise

12/01/2023

5

Pragyan SmartAI Technology LLP

23/03/2023

6

MySmartShala Edu-Easy India Private Limited

07/01/2023 to 06/01/2026

7

Vtricks Technologies

04/05/2022 to 04/05/2026

8

India Block Chain Alliance

27/10/2021 to 27/10/2026

SDPS CONDUCTED

SDP on Cloud infrastructure Management & Automation for Industry
Conducted from 17/03/25 to 22/03/25 for the 6th Sem Students
Resource Person for the SDP was Mr.Vinay Harista, Technical Director, Vtricks Technologies. 228 students participated in the SDP.

SDP on Industrial Training on Java Programming
Conducted from 11/11/24 to 16/11/24 for the 3rd Sem Students
Resource Person for the SDP was Mr.Vinay Harista, Technical Director, Vtricks Technologies. 228 students participated in the SDP

A 50-hour Student Development Program (SDP) on Robotics Process and Automation was organized in collaboration with Vtricks Technologies as part of the 4th Semester training. A total of 248 students actively participated in the program.

A Student Development Program (SDP) for 5th Semester students was conducted in collaboration with Vtricks Technologies on the topic “Data Analytics, Visualization and Its Application using Power BI.” The program spanned 50 hours and witnessed the active participation of 248 students.

A Student Development Program (SDP) was conducted for 1st Semester students in collaboration with Genesis on the topic “Soft Skills and Aptitude.” The program was held for 30 hours and had 227 students participating.

For 2nd Semester students, an SDP on “Behavioural Cognitive English” was organized in association with Genesis. The program lasted 30 hours and saw the participation of 226 students.

A 50-hour SDP on “Aptitude, Soft Skills and Coding” was conducted for 3rd Semester students in collaboration with Genesis, with 226 students attending.

SDP for 3rd Semester students was organized in collaboration with Vtricks Technologies on “Industrial Training on Java Programming.” The program was held for 50 hours, with 224 students participating.

A Student Development Program (SDP) was conducted for 8th Semester students in collaboration with ICT, powered by Mphasis Foundation on the topic “Data Analytics.” The duration of the program was 130 hours, and 50 students participated.

A Student Development Program (SDP) was conducted for 6th Semester students in collaboration with ICT, powered by Capgemini on the topic “Web Developer – Python.” The duration of the program was 26 days, and 63 students participated.

A Student Development Program (SDP) on “Cloud Infrastructure Management & Automation for Industry” was conducted. The resource persons for the program were Mr. Vinay (Technical Director) and Mr. Gangadhar (Team Lead) from Vtricks Technologies.

TOP Students

Year of Passing

USN

Name

Percentage

2024

1ST20CS126

Suraj Kumar

93%

2023

1ST19CS087

Swathi P

94.8%

2022

1ST18CS091

Pallavi

90.84%

2021

1ST17CS135

Sagar Dixit

90.76%

2020

1ST16CS006

Abhishek Ranjan

81.5%

2019

1ST15CS025

ARUN J

94.5%

TOP Alumni Students

Sl.no

Name

Company

Designation

1

Kiran Desai

ISRO

Head-Models Stimulation Validation

2

Kailash Vahisth

Indian Army

Captain

3

Shreeja

Indian Navy

Lieutenant

4

Antony Suraj

Google

Web Development Consultant

5

Sanjana

Boeing India

Programmer Analyst

6

Manisha

Mercedes Benz

Senior Test Engineer

7

Chaitra S

Goldman Sachs

IT Analyst

8

Anzar Zulfiqar

Samsung Research Institute

Senior Chief Engineer

Contact CSE

Test Coordinator

Anuradha U

Jyothi S S

 

Exam Coordinator

Dr Asha S R

Anitha K

Proctor Coordinator

Dr.Asha S R

Time table Coordinator

Suchitra Devi A

Anuradha V

Sports Coordinator

Giridhar Rao

 Cultural coordinator

Mallamma C G

Library Coordinator

Jyothi SS

Project Coordinator

Dr.Balakrishnan K

Mallamma C G

Hanumantha Rao

Sunitha B

 

Internship Coordinator

Anuradha U

Suchitra Devi A

Hanumnatha Rao

Giridhar Rao

Placement Coordinator

Mallamma C G

Hanumantha Rao

Semester Coordinator

Dr.Balakrishnan K

Result Analysis Coordinator

Indi Jayashree

Gnaneshwari T R

Bhargavi Go

ERP Coordinator

Saranya B

Poovitha S

KSCST Coordinator

Mallamma C G

Event Coordinator

Dr.Balakrishnan K

Mallamma C G

Sourna Lakshmi P

Research Coordinator

Dr.Balakrishnan K