It started its humble beginning in 2011 as an unaided Self-Financing department with the objective of imparting quality education in the field of Computer Science. With rapidly evolving technology, the department aspires to reassert the significance of high quality education by producing competent professionals who can shape the destiny of our country.
Department Profile
Department of Computer Technology
Vision
To continue to be the Premier Department for Computer Technology and to become regionally top-ranked and nationally recognized for Academic Excellence
Mission
To offer a broad-based education, encourage lifelong learning, foster teamwork, promote creativity, discovery and competitiveness.
To turn out highly qualified graduates into world-class professionals capable of competing in the IT Arena as well as in a research environment.
Category:
Highlights
• Highly qualified faculties with Ph.D and NET/SET
• Excellent infrastructure & computing facilities
• Smart classrooms are available to motivate ICT enabled teaching
• OBE, CBCS based advanced Curriculum
• Well defined student mentoring process and excellent academic results
• Motivation for Self learning initiatives through MOOC courses
• Orientation programs for 1st year students
• Conducting International/National Level Workshops and Seminar
• Conducting value added course for additional credits.
• Excellent placement records
Association
- CYGNET
Creating Young Generation for Next Emerging Technologies
As an effort to highlight the inner determination to go forward despite the challenges and create self-affirmation in our students, association activities are started.
CYGNET Office bearers for the Academic Year 2024 -2025.
President | P. Vaishnavi – D3 CT |
Vice-President | S. Sanjay – D2CT |
Secretary | N. Sakthivel – D3CT |
Joint Secretary | A. Arbina Khatum – D2CT |
Treasurer | M. Sree Dharshini – D1CT |
Joint Treasurer | G. Nehashree – D1CT |
CYGNET Office bearers for the Academic Year 2023 -2024.
President | K. Ganesh Kumar – D3CT |
Vice-President | Ashifa. M – D3CT |
Secretary | Ms. A. Arbina Khatum – D1CT |
Joint Secretary | N. Ramyakrishnan – D1CT |
Treasurer | S. Sareswathi – D2CT |
Joint Treasurer | V.K. Praveena – D2CT |
- Faculty
- Programme Outcomes (PEO, PO & PSO)
- Syllabus
- Calendar of Events
- Research & Awards
- Publications
- News & Events
- Photos & Videos
Programme Educational Objectives (PEOs) | |
The B.Sc., Computer Technology programme describe accomplishments that graduates are expected to attain within five to seven years after graduation | |
PEO1 | Demonstrating the concepts and technologies of Software Industry |
PEO2 | Motivate to select one domain knowledge and develop smart software solutions as per industry standard |
PEO3 | Focus to solve real time problems in terms of various technologies. |
PEO4 | Understand the concepts of software project life cycle during software development. |
PEO5 | Apply the knowledge of various levels of security in computer field. |
Programme Outcomes (POs) | |
On successful completion of the B.Sc., Computer Technology program | |
PO1 | Problem Solving: Analyze complex problems, develop innovative solutions, evaluate
alternative solutions, implement solutions, monitor and evaluate solutions and collaborate effectively. |
PO2 | Disciplinary Knowledge: Understand the fundamental principles, concepts, and theories
related to information technology. |
PO3 | Critical Thinking: Analyse complex problems, evaluate information, synthesize information, apply theoretical concepts to practical situations, identify assumptions and biases, make informed decisions and communicate effectively. |
PO4 | Information/digital literacy :Implement industry standard projects of their own choice using latest tools. |
PO5 | Analytical & Scientific Reasoning: Apply scientific methods, collect and analyse data, test hypotheses, evaluate evidence, apply statistical techniques and use computational models. |
PO6 | Physical and mental wellness: The Under Graduate students are recognize
the Human Excellence and ethical responsibilities through yoga in various disciplines |
PO7 | Reflective thinking and Communication Skills: Demonstrate global Industry demand related subjects and transferable skills that a relevant to global industry and employment opportunities |
PO8 | Self-directed & Lifelong Learning: Set learning goals, manage their own learning, reflect on their learning, adapt to new contexts, seek out new knowledge, collaborate with others and to continuously improve their skills and knowledge, through ongoing learning and professional development, and contribute to the growth and development of their field. |
PO9 | Cooperation/Team work: Ability to analyze the local and global impact of computing on individuals, organizations and society. |
PO10 | Multicultural competence: Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large. |
Programme Specific Outcomes (PSOs) | |
After the successful completion of B.Sc., Computer Technology program, the students are expected to | |
PSO1 | Academic skills and abilities: Acquire academic excellence with professional skill for employment and higher studies. |
PSO2 | Explore Software Development Solutions: Create, select and apply modern tools and techniques to analyze and develop successful software in IT Industry. |
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Syllabus-2016-2019.pdf
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Syllabus-2017-2020.pdf
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Syllabus-2018-2021.pdf
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Syllabus-2019-2022.pdf
Syllabus-2019–2022.pdf
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Syllabus-2021-2024.pdf
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Syllabus-2022-2025.pdf
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Syllabus-2023-2026.pdf
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Open 57.67 MB 2024-04-03 April 3, 2024 2024-04-02 April 2, 2024Syllabus-2019–2022.pdf
Open 46.72 MB 2024-02-21 February 21, 2024 2024-03-02 March 2, 2024Syllabus-2020-2023.pdf
Open 21.47 MB 2024-02-21 February 21, 2024 2024-03-02 March 2, 2024Syllabus-2021-2024.pdf
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Open 15.87 MB 2024-02-21 February 21, 2024 2024-03-02 March 2, 2024Syllabus-2023–2026.pdf
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Research & Awards (Details) | PDF File |
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Ms. A. Kalaivani has worked as an Organiser for ICT Based Teaching and Learning Methodologies for Students and Faculties of Nallamuthu Gounder Mahalingam College, for the academic year 2021- 2022 is offered by the Spoken Tutorial Project, IIT Bombay. | https://www.ngmc.org/wp-content/uploads/2024/01/Appreciation-Letter_Ms.-A-Kalaivani-Nallamuthu-Gounder-Mahalingam-College-Tamil-Nadu_2022-23-1.pdf |
Dr. A. Kalaivani, received Best Paper Award for presented a Paper in National Conference NCAIRPA 2022 with the titled "A Review on Robot Process Automation in Various Future Business Industries" , organized by PSGR Krishnammal College for Women, Coimbatore, On 25.03.202. | |
Ms.K.S.Leelavathi got "Best Teacher Award", awarded by Akshaya Institute of Management, Coimbatore,in the year 2013 | https://www.ngmc.org/wp-content/uploads/2024/01/Leela-award-photo-1.pdf |
Ms. C. Keerthana awarded Mentor for the NPTEL online certificate Course 2023 | https://www.ngmc.org/wp-content/uploads/2024/01/DBMS-Mentor-2023.pdf |
Dr. M. Rajasenathipathi, awarded Seed Money Project by the NGM College Management during March 2021 To October 2021. | |
Dr. A. Kalaivani, awarded Seed Money Project by the NGM College Management during March 2022 To October 2022. | |
Ms. C. Keerthana, awarded Seed Money Project by the NGM College Management during March 2023 to October 2023. | |
Dr. R. Jayaprakash, awarded Seed Money Project by the NGM College Management during December 2023 To June 2024. | |
Dr. R. Jayaprakash, Completed NPTEL Online Certification Course “Data Base Management System”, Funded by MHRD, Govt. of India on Apr’2019 | https://www.ngmc.org/wp-content/uploads/2024/01/Apr-2019-1.pdf |
Dr. R. Jayaprakash, Completed NPTEL Online Certification Course “Cloud Computing”, Funded by MHRD, Govt. of India on Nov 2020. | https://www.ngmc.org/wp-content/uploads/2024/01/Nov-2020.pdf |
Dr. R. Jayaprakash, Completed NPTEL Online Certification Course “Computer Networks and Internet Protocal”, Funded by MHRD, Govt. of India on April 2021 | https://www.ngmc.org/wp-content/uploads/2024/01/Apr-2021.pdf |
Dr. R. Jayaprakash, as membership in the International Society for Development and Sustainability (ISDS) from the year 2022. | https://www.ngmc.org/wp-content/uploads/2024/01/Gmail-Associate-Membership-Confirmation-Dr-Jayaprakash-Ramasamy-1.pdf |
Dr. A. Kalaivani Received Organizer Appreciation Certificate for Organizing IT Skill Courses Training by IIT Spoken Tutorial , IIT Bombay on 01.02.2024. | https://www.ngmc.org/wp-content/uploads/2024/02/Spoken-Tutorial-IIT-Bombay-Organiser-Certificate-Ms.-A.-Kalaivani-Nallamuthu-Gounder-Mahalingam-College-Pollachi-T.N-2022-23.pdf |
Ms. K.S.Leelavathi, Analysis of South Indian Agriculture production data using Machine Learning Classification Techniques, Journal of the Maharaja Sayajirao University of Baroda , ISSN: 0025 – 0422, Oct, 2021. | https://www.ngmc.org/wp-content/uploads/2024/03/3.4.3-UGC-K-S-Leelavathi-proof-1.pdf |
Dr. R. Jayaprakash, Static and Dynamic Routing Protocols in wireless Network: An Effective Approach, Journal of the Maharaja Sayajirao University of Baroda, vol. 55, no. 1(XI), pp.47-55, Sept. 2021.(UGC CARE Group I Journal) | https://www.ngmc.org/wp-content/uploads/2024/03/Static-Dynamic-routing-protocol-1.pdf |
Dr. R. Jayaprakash, Load Balancing Optimization Fore Cast Analysis In wireless Sensor Networks Using Network Efficient Protocol, Journal of the Maharaja Sayajirao University of Baroda, Vol56, No 1(VIII), 2022. | https://www.ngmc.org/wp-content/uploads/2024/03/LOAD-BALANCING-OPTIMIZATION-FORECAST-ANALYSIS-IN-WIRELESS-SENSOR-1.pdf |
Dr. A. Kalaivani, Machine Learning and Deep Learning Techniques for Classification of Skin Disease Diagnosis: A Review, Journal of Education: Rabindra Bharati University, ISSN: 0972-7175,2022. | https://www.ngmc.org/wp-content/uploads/2024/03/A.-Kalaivani-1.pdf |
Ms. C. Keerthana, Novel Ensemble Classification Technique Method to Improve the , Journal of the Maharaja Sayajirao University of Baroda, ISSN: 0025-0422,Sep. 2022. | https://www.ngmc.org/wp-content/uploads/2024/03/A-Novel-Ensemble-Classification-Technique-Method-to-improve-the-prediction-of-Cardiovascular-Disease-1.pdf |
Dr. R. Jayaprakash, A survey on Issues and Challenges of Marine Communication using Big-Data, International Journal of life Science Pharma Research. ISSN: 2250-0480, 2022. | https://www.ngmc.org/wp-content/uploads/2024/03/A-SURVEY-ON-ISSUES-AND-CHALLENGES-OF-MARINE-COMMUINCATION-USING-BIG-176-184-1.pdf |
Ms. C. Keerthana, Performance Analysis of Machine Learning Classification Techniques to predict Lung Diseases, Journal of the Maharaja Sayajirao University of Baroda, ISSN: 0025 – 0422, July 2023. | https://www.ngmc.org/wp-content/uploads/2024/03/CK-Maharaja-2023-1.pdf |
Ms. C. Keerthana, Lungs Segmentation and Classification using Machine Learning in Chest X-ray Images, Shodha Prabha, ISSN: 0974-8946, Sep. 2023. | https://www.ngmc.org/wp-content/uploads/2024/03/CK-Shodha-Prabha-2023-1.pdf |
Dr. R. Jayaprakash & Dr. A. Kalaivani, A NETWORK APPROACH FOR LOAD BALANCING AND PRIVACY PATH SELECTION IN WIRELESS COMMUNICATION, Journal of the Maharaja Sayajirao University of Baroda, ISSN: 0025 – 0422, Nov. 2023. | https://www.ngmc.org/wp-content/uploads/2024/03/A-NETWORK-APPROACH-FOR-LOAD-BALANCING-AND-PRIVACY-PATH-SELECTION.pdf |
Dr. R. Jayaprakash & Dr. A. Kalaivani, EFFECTIVE DEEP LEARNING ARCHITECTURES TO IMPROVE AGRICULTURAL PRODUCTION QUALITY, Journal of the Maharaja Sayajirao University of Baroda, ISSN: 0025 – 0422, Dec. 2023 | https://www.ngmc.org/wp-content/uploads/2024/03/EFFECTIVE-DEEP-LEARNING-ARCHITECTURES-TO-IMPROVE-AGRICULTURAL.pdf |
Dr. R. Jayaprakash & Dr. A. Kalaivani, EFFECTIVE DEEP LEARNING ARCHITECTURES TO IMPROVE AGRICULTURAL PRODUCTION QUALITY, Journal of the Maharaja Sayajirao University of Baroda, ISSN: 0025 – 0422, Dec. 2023 | https://www.ngmc.org/wp-content/uploads/2024/03/10-Dec-2023.pdf |
A. Kalaivani & Dr. S. Karpagavalli, SKIN DISEASE SEGMENTATION AND CLASSIFICATION USING DEEP LEARNER NETWORK MODEL, Journal of the Maharaja Sayajirao University of Baroda, ISSN: 0025-0422, Volume-57, No.1(IV) : 2023 | https://www.ngmc.org/wp-content/uploads/2024/03/2-1.pdf |
Dr. R. Jayaprakash,CBPPRS: Cluster Based Privacy Preserving Routing Selection in Wireless Networks, International Journal of Engineering & Technology, 7 (3.12) (2018) 439-443 . | https://www.ngmc.org/wp-content/uploads/2024/04/JP-scopus-indexed-published.pdf |
Dr. A. Kalaivani, Aspects for the Web Future: Semantic Web Application and Ontology Language for World Wide Web, International Journal of Advanced Research Trends in Engineering and Technology (IJARTE, Vol. 5, Special Issue 12, April 2018 | https://www.ngmc.org/wp-content/uploads/2024/04/Aspects-for-the-Web-Future-Semantic-Web.pdf |
Machine Learning and Deep Learning Techniques for Classification of Skin Disease Diagnosis: A Review
Dr. A. Kalaivani
UGC Care List journal
2022
Enhanced Graph Theoretic Modeling for Estimating Node Localization and Reachability in WSN
Dr. A. Kalaivani
InInternational Journal of Advanced Science and Technology (IJAST),
2020
A Trusted Key Management Protocol (TKMP) For Cluster Based Wireless Networks
Dr. R. Jayarpakash
Journal of Adv Research in Dynamic & Control Systems (JARDCS)
2020
DLBPS: Dynamic Load Balancing Privacy Path Selection Routing in Wireless Networks
Dr. R. Jayarpakash
Lecture Notes in Electrical Engineering – Advanced in Electrical and computer Technologies, Springer Nature Singapore
2020
Analysis of South Indian Agriculture production data using Machine Learning Classification Techniques
Ms. K. S. Leelavathi
Journal of the Maharaja Sayajirao University of Baroda
2021
A study and Analysis of Rice and Wheat Production in India Based on Season using Machine Learning Classification Algorithms
Ms. K. S. Leelavathi
International Journal of Research in Computer Applications and Robotics(IJRCAR)
2023
A Survey on Heart Disease Prediction using Machine Learning
Ms. C. Keerthana
International Journal of Computer Science and Technology (IJCSET)
2020
Heart Disease Data Pre-Processing Using Enhanced Data Mining Techniques
Ms. C. Keerthana
International Journal of Advanced Science and Technology (IJAST)
2020
Analysis of Rice and Wheat Production in India based on Season using Machine Learning Classification Techniques
Dr. M. Rajasenathipathi
Journal of the Asiatic Society of Mumbai
2023
An EWOA – WTDCNN Model: Effective Whale Optimization Algorithm Incorporating with weight – Tuned Deep Convolutional Neural Network for Forecasting Indian crop yield Process
Dr. M. Rajasenathipathi
Tuijin/ Jishu Journal of Propulsion Technology
2023
CBPPRS: Cluster Based Privacy Preserving Routing Selection in Wireless Networks
Dr. R. Jayarpakash
International Journal of Engineering & Technology
2018
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