Department Profile

Department of Information Technology

Vision

The vision of our department is to assist students in becoming proficient in using the latest technologies and critical thinking, being prepared for the next level of education, and successfully attaining the skills and proficiencies required of today’s work force.

Mission

The Information Technology department is committed to provide the highest quality technology services and support, thereby enhancing the operation and educational capabilities of students.

Category:
Information Technology

ABOUT THE DEPARTMENT

The U.G Department of Information Technology was established in the year of June 2008 with two faculty members. In the year of June 2010, faculty strength was fulfilled. In that two faculty members qualified SET, one qualified NET and one qualified both SET & NET. Our department takes pride in its outstanding learning resources, featuring a comprehensive library with 224 books. Three faculty members are currently pursuing their Ph.D. at Bharathiar University, and we proudly celebrate the recent completion of Ph.D. by one of our accomplished faculty members.

Highlights

Highly qualified faculty with Ph.D., NET, and SET.
Unique and up-to-date curriculum for a contemporary education.
Organizers of the esteemed Intercollegiate Meet “Techkriti.”
Organizers of Hackathon 2k24
Conducting International/National Level Workshops and Seminar
HOD Mr. K. Vijayakumar has been awarded the “Best Teacher Award.”
Dr. C. R. Durga Devi is a Wipro certified faculty.
Conducting value added course for additional credits.
Graduates are excellently prepared for leadership roles in the profession and higher education.
E-Learning initiatives through MOOC courses
OBE, CBCS based advanced Curriculum

Association

Association

ASSOCIATION – CYBERTRON

Office Bearers

President                  :  RANJANA. S

Vice-President          :  YOKESH. K

Secretary                  :  KARTHI. L

Join Secretary           : SASMITHA. R

Treasurer                  :  GOWRIKA. D

Brainstorming thoughts of  New Era

Programme Outcomes (PEO, PO & PSO)

Programme Educational Objectives (PEOs)
The B.Sc., Information Technology programme describe accomplishments that graduates are expected to attain within five to seven years after graduation
PEO1 Prepare the students to engage in independent learning for developing the Applications based on industry and social needs.
PEO2 To train students to a level where they can readily compete for the higher educational programs.
PEO3 To make students as computer professionals, who can be directly employed or start their own work as Programmer, Web Designer, Database User, Testing professional, Designer of a System and Network administrator or implementer.
PEO4 To familiar with the contemporary issues, latest trends in technological development and there by innovate new ideas and solutions to existing problems.
PEO5 To participate effectively as a member of a development team and undertake leadership roles in appropriate arena.

 

 

Programme Outcomes (POs)
On successful completion of the B.Sc., Information Technology program
PO1 Problem Solving and Communication Skill: Ability to apply the knowledge of mathematical fundamentals and programming ability to solve complex problems in the field of Information Technology and to communicate the solution efficiently.
PO2 Disciplinary Knowledge: Exhibit the knowledge of emerging technologies and tools to create need based customized applications for Industrial Automations.
PO3 Entrepreneurship skills: Ability to become Entrepreneur by acquiring skills related to their domain and to address the industry and social needs with Environmentalconsiderations.
PO4 Research Related Skills: Ability to cultivate research-based knowledge for innovating new ideasand solutions to contemporary issues by linking knowledge of Computer Science with other domains.
PO5 Moral and Ethical Awareness/ Reasoning: Exhibit professional ethics on usage of digital data.
PO6 Life Long Learning: Knack to pursue higher studies of specialization courses by clearing entrance exams in top institutions.
PO7 Critical Thinking: Aptitude to analyze, design and implement tools and applications to solve real world hitches.
PO8 Information / Digital Literacy: Ability to handle different types of networks, hardware and other resources in large scale platform for Industry 4.0.
PO9 Data Analytic Skills: Capability of presenting and securing voluminous data with emerging tools and techniques.
PO10 Contemporary Skills: Skill enrichment to provide Web based solutions using recent technologies and tools.

 

 

Programme Specific Outcomes (PSOs)
After the successful completion of B.Sc., Information Technology program, the students are expected to
PSO1 To identify and utilize latest updation on recent technologies by applying knowledge on Artificial Intelligence, Internet of Things and Mobile computing.
PSO2 To develop the ability to integrate Information technology with business applications and to impart the knowledge on fundamentals of research.

 

 

 

 

 

 

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Research & Awards (Details)PDF File
Ms.C.R.Durga devi was awarded wipro Certified Faculty for successfully clearing the TalenNext certification assessment and is recognized as a mentor for project-based learning(PBL) in Java Full Stack.
https://www.ngmc.org/wp-content/uploads/2024/01/C.R.Durga-Devi-1-1.pdf
Our Department has received "Certificate of Appreciation" from NGP Govt. Girls Higher Secondary School, Devanurpudur, for conducting an Extension Programme named "Empower the Higher Secondary Students for Proficiency Magnification in Computer Applications" in their School Premises from 23.9.2019 to 1.10.2019https://www.ngmc.org/wp-content/uploads/2024/01/Extension-Appreciation-Letter-1.pdf
Our Department Faculty Ms. B. Kalaiselvi has received Seed Money Research Grant from NGM College from April 2022 to October 2022https://www.ngmc.org/wp-content/uploads/2024/01/3.1.2-Seed-Money-Sanction-Letter-1.pdf
Our Department Faculty Ms. V. Prabavathi has received Seed Money Research Grant from NGM College from April 2023 to October 2023https://www.ngmc.org/wp-content/uploads/2024/01/3.1.2-Seed-Money-Sanction-Letter-3-1.pdf
Ms. B. Kalaiselvi awarded Mentor for the NPTEL online certificate Course 2022https://www.ngmc.org/wp-content/uploads/2024/01/bkalaimcagmail.com_noc22-cs65-1.pdf
Ms. V. Prabavathi awarded Mentor for the NPTEL online certificate Course 2022https://www.ngmc.org/wp-content/uploads/2024/01/NPTELMEN23S24007677-1.pdf
Mr. K. Vijayakumar, HOD has received SMART INSPIRER 2022-2023 award from Ennangal Mental Health Research and Training Instiutehttps://www.ngmc.org/wp-content/uploads/2024/01/Award-Certificate-KV-1.pdf
Ms. C.R. Durgadevi awarded Mentor certificate for the NPTEL online certificate Course 2023https://www.ngmc.org/wp-content/uploads/2024/07/C.R.-Durgadevi-mentor-certificate.pdf
Mr. R. Sekar received ICSSR Minor Project Fund of Rs. 3.5 Lakhs in the year 2022.https://www.ngmc.org/wp-content/uploads/2024/07/ICSSR-Sekar.pdf
Mr. R. Sekar received Organizer Appreciation Award from IIT Bombay for the year of 2021-2022 and 2022-2023https://www.ngmc.org/wp-content/uploads/2024/07/2021-22-Organiser-Certificate-Mr.-R.-Sekar-.pdf
Mr. R. Sekar received Organizer Appreciation Award from IIT Bombay for the year of 2022-2023https://www.ngmc.org/wp-content/uploads/2024/07/2022-23-Organiser-Certificate-Mr.-R.-Sekar.pdf

A COMPREHENSIVE EXAMINATION OF MACHINE LEARNING IN IMAGE COMPRESSION TECHNIQUES

Ms. V. Prabavathi

Shodha Prabha (UGC CARE Journal)

2023

FILE (PDF)

STUDY ON MACHINE LEARNING AND CRYPTOGRAPHIC METHODS FOR IMAGE COMPRESSION AND SECURED TRANSMISSION

Ms. V. Prabavathi

Journal of the Maharaja Sayajirao University of Baroda

2023

FILE (PDF)

ENHANCED IMAGE COMPRESSION USING WAVELET MODIFIED SINGLE LAYER LINEAR COUNTER PROPAGATION NETWORK

Ms. V. Prabavathi

Journal of the Maharaja Sayajirao University of Baroda

2022

FILE (PDF)

Poisson Wavelet Quantized Piecewise Regressive Distributed Coding for Image Compression and Transmission

Ms. V. Prabavathi

Tuijin Jishu/Journal of Propulsion Technology

2023

FILE (PDF)

Implementation of Improved Throttled Load Balancing Algorithm Using Cloud Analyst

C. R. Durga Devi

CiiT International Journal of Programmable Device Circuits and Systems

2019

FILE (PDF)

EFFICIENT JOB SCHEDULING USING TASK CLASSIFIER AND FIREFLY OPTIMIZATION IN CLOUD

C. R. Durga Devi

Journal of Xi’an Shiyou University,

2019

FILE (PDF)

Resource Optimized Ensemble Gradient Boosting Classifier for Traffic Aware Big Data Analytics

C. R. Durga Devi

Jour of Adv Research in Dynamical & Control Systems,

2018

FILE (PDF)

Multivariate Logistic Regression based Gradient Descent Firefly Optimized Round Robin Scheduling with Big Data

C. R. Durga Devi

Jour of Adv Research in Dynamical & Control Systems,

2019

FILE (PDF)

EFFICIENT TASK SCHEDULING AND LOAD BALANCING TECHNIQUES TO OPTIMIZE RESOURCE UTILIZATION IN CLOUD ENVIRONMENT

C. R. Durga Devi

Journal of the Maharaja Sayajirao University of Baroda

2023

FILE (PDF)

Support Vector Regression based Mapreduce Throttled Load Balancer for Data Centers

C. R. Durga Devi

International Journal of Innovative Technology and Exploring Engineering (IJITEE)

2019

FILE (PDF)

ACADEMIC PERFORMANCE PREDICTION FOR FIRST YEAR STUDENTS IN COVID PANDEMIC PERIOD USING DATA MINING TECHNIQUE

B. Kalaiselvi

Journal of the Maharaja Sayajirao University of Baroda

2020

FILE (PDF)

ANALYSIS OF PLACEMENT PERFORMANCE PREDICTION ON STUDENTS DATA USING MACHINE LEARNING ALGORITHM

B. Kalaiselvi

Journal of the Maharaja Sayajirao University of Baroda

2022

FILE (PDF)

Ensemble Machine Learning AdaBoost with NBTree Model for Placement Data Analysis

B. Kalaiselvi

IEEE (2nd International Conference on Intelligent Technologies (CONIT))

2022

FILE (PDF)

ENHANCED ENSEMBLE VOTING BASED MACHINE LEARNING TECHNIQUE FOR STUDENT CAMPUS PLACEMENT PREDICTION

B. Kalaiselvi

Journal of Data Acquisition and Processing

2023

FILE (PDF)

Ensemble voting machine learning model for prediction of campus placement of the student

B. Kalaiselvi

AIP Conference Proceedings

2023

FILE (PDF)

A REVIEW PAPER ON CURRENT TECHNOLOGIES FOR LEAF DISEASES PREDICTION USING MACHINE LEARNING TECHNIQUES

R. Sekar

Journal of The Maharaja Sayajirao University of Baroda

2023

FILE (PDF)

TRANSFORMATION SEARCH: ENHANCING WEB PAGE RE-RANKING WITH TRANSFORMER-BASED DEEP LEARNING ALGORITHMS

Dr. C. R. Durga Devi

Journal of The Maharaja Sayajirao University of Baroda

2023

FILE (PDF)

Ensemble Voting Classifier-based Machine Learning Model for Predictive Modeling of Campus Student Placements

B. Kalaiselvi

BP International

2024

FILE (PDF)
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