PG Department of Computer Science

Department Profile

PG Department of Computer Science

Vision

Exploring innovative approaches to enhance learning opportunities through the integration of technology and to develop more responsive strategies for adapting curriculum and changing demands in the Computing Profession

Mission

To provide strong theoretical foundation complemented with extensive practical training.
Provide a learning ambience to enhance innovations, problem solving skills, leadership qualities, team-spirit, ethical responsibilities

Category:

Computer Science PG

The PG Department of Computer Science was established in the year 2010 with the total allotted strength of 50 students.

The M.Sc Computer Science programme was introduced in the year 2010. Currently the department has the strength of 5 faculties and around 83 students. Curriculum is developed by describing the learning goals and outcomes of the academic programmes. This involves showing how the programme of study fits together and how it is designed to help the students to achieve the programme goals. The syllabus is revamped every year and is on par with the current trend in the IT industry. The department has produced quality professionals holding key positions in the IT industry in India and abroad.

INFRASTRUCTURE

Class rooms with greenish atmosphere
Excellent Laboratory with internet facility and cutting edge software tools
Exclusive Lab for IoT
Projectors for interactive classroom teaching

Highlights

• Highly qualified and dedicated faculty with PhD
• Innovative academic curriculum to meet current IT trends and research needs
• Regular Group Discussion, Aptitude, peer learning, Flipped classroom and Technical Test for better placement
• Seminars/ Guest Lectures from Industry Experts, alumni and Academia
• National Science Day is celebrated as an Inter-Department Technical Meet
• Software club, Data Science club, Research club and Cyber Security club has been initiated to enculturate diverse technical and security skills among students
• Industrial Visit once in a year
• An Elite Extension Programme – “Spot-light on E- Business” for Self- Help Groups
• Periodic Women Counseling in post college hours
• Providing Community services like distributing saplings and herbal plants, fund donation to orphanage, books to farmers etc through department and also provide services for the needy by Rotaract Club.
Uniqueness of the Department
• Providing Value added courses (VAC) to enhance employability skills.
• IoT lab for empowering students to innovate with cutting-edge IoT technology.
• Celebrating International Programmers’ Day to inspire students to engage in programming competitions and advance their technical expertise.
• Conducting Skill enhancement programs with hands-on sessions to prepare students for real-world tech challenges
• Celebrating Natinal Science day by conducting various technical events.
• An Elite Extension programme for Self Help groups with NGO’s to inculcate social responsibility and also Community Service Programme with Lions club of Green Earth.
• Celebrating National Science Day to highlight the importance of skills in advancing technology and innovation by conducting various events.
• Promote MyGov platform to facilitate a pledge for students, promoting their commitment to responsible citizenship and social responsibility.
• International Women’s Day events to empower girl students by celebrating women’s achievements and fostering gender equality.

Association

MINERVA

Explore the hidden potentials, Promote team work Inculcate social responsibilities and Build a network of young minds.

OFFICE BEARERS FOR THE ACADEMIC YEAR 2024-2025
President: SRIDHAR.S – II MSc CS
Vice-President: KARTHI. A – I MSc CS
Secretary: SINDHU.M – II MSc CS
Joint Secretary: ASNA.M – I MSc CS
Treasurer: SOUNDER SARAN.M – II MSc CS

Dr. M. Sakthi

M.Sc., M.Phil., Ph.D

Associate Professor & Head

EMail: sakthi@ngmc.org

Dr. M.Rathamani

M.C.A., M.Phil., Ph.D.

Assistant Professor

EMail: rathamani@ngmc.org

Dr. R. Deepa

M.C.A., M.Phil., Ph.D

Assistant Professor

EMail: deepa@ngmc.org

Dr.M.Meena Krithika

M.Sc.,M.phil.,Ph.D.,

Assistant Professor

EMail: meenakrithika@ngmc.org

Ms. S. S. Shanthi

MCA., M.Phil.,

Assistant Professor

EMail: shanthis.s@ngmc.org

Program Educational Objectives (PEOs)
The M.Sc. Computer Science program, describe accomplishments that graduates are expected to attain within five to seven years after graduation.

PEO1	To provide students with a clear understanding of the course goals and to visualize their needs.
PEO2	Employed in the software sector and attempting to acquire and implement new ideas and concepts as the field progresses.
PEO3	To instill the value of continuous learning and the importance of research and development for the betterment of society and the country as a whole.
PEO4	Enhanced to cope with evolving technologies on the frontiers of computer science and incorporating Industry 5.0 Technologies into their careers based on industry requirements
PEO5	Practice ethics and human values in their profession.

Program Specific Outcomes (PSOs)

On successful completion of the M.Sc. Computer Science with Artificial Intelligence & Machine Learning

PO1	Disciplinary Knowledge: Develop core competence in computer science and to take up a career in the IT industry as well as to impart the analytical skills in research and development.
PO2	Problem Analysis: Ability to instill various thrust areas of computer science with sound knowledge of theory and hands-on practical skills.
PO3	Design Thinking : Graduate Attribute Title: Ability to design, implement and evaluate the principles of computer science and apply these in the multidisciplinary environments to manage project.
PO4	Opportunity Level: Ability to analyze the local, global needs of computing in par with IT industry and society.
PO5	Skill Enhancement: Develop innovative computing skills through information technology solutions.
PO6	Tool: Review of the most up-to-date tools and mechanisms for tool handling.
PO7	Team Work: Work in accordance with ethical and professional standards.
PO8	Decision Making: Determine the viewpoint on business practices, risks, and constraints.
PO9	Entrepreneurial Skills: Develop responsibilities on entrepreneurial spirit roles.
PO10	Problem Solving : Ability to plan, conduct, and analyze experiments, as well as extrapolate results

Programme Specific Outcomes (PSOs)

PSO – 01	Soft Skills: Able to understand, analyze and develop computer programs in the areas related to various domains for efficient design of computer-based systems of varying complexity.
PSO – 02	Enhancing Knowledge: Acquire foundation for research into the theory, practice of programming and apply the knowledge gained during the course of the program from advanced computing and solve real life complex problems faced in society.

MSc-CS-Syllabus-Batch-2018-2020.pdf application/pdf

2019-2020-Even.pdf application/pdf

Research & Awards (Details)	PDF File
Dr.M.Sakthi got recognition of outstanding servise and Valuble contribution to Self Halp Group Pollachi North for giving awareness about Spotlight on E-Business in different phases given by Ministry of information and Broadcasting, Coimbatore	https://www.ngmc.org/wp-content/uploads/2024/04/IMG-20240228-WA0002-1.pdf
Dr.M.Rathamani got I2OR Research Excellence Award (National Science Day Awards2022) on February 28th of 2022.	https://www.ngmc.org/wp-content/uploads/2024/04/30-Dr.-M.-RATHAMANI.pdf

Study On Machine Learning And Cryptographic Methods For Image Compression And Secured Transmission

Dr.M.Sakthi

Journal of the Maharaja Sayajirao University of Baroda

2023

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

Dr.M.Sakthi

Journal of Propulsion Technology

2023

A Comprehensive Examination Of Machine Learning In Image Compression Techniques

Dr.M.Sakthi

Shodha Prabha

2023

6 G Technologies Security Requirements and Challenges

Dr.M.Sakthi

Journal of the Maharaja Sayajirao University of Baroda

2023

Enhanced Image Compression Using Wavelet Modified Single Layer Linear Counter Propagation Network

Dr.M.Sakthi

Journal of the Maharaja Sayajirao University of Baroda

2022

A Self Organizing Map Approach for an Enhanced K-means Clustering Algorithm

Dr.M.Sakthi

Zeichen Journal

2021

An Enhanced K-Means Clustering Algorithm to Improve the Accuracy of Clustering using Centroid Identification Based on Compactness Factor

Dr.M.Sakthi

Journal of Xi’an University of Architecture & Technology

2021

An Improved K-Means Clustering Algorithm Based on Regional Centroid Component (RCC)

Dr.M.Sakthi

Alochana Chakra Journal

2020

PG Department of Computer Science

Department Profile