AI happens to be the buzz word in the recent years. Artificial intelligence (AI) has become a game-changing technology in plethora of domains and its effects on leveraging higher education is drawing more and more attention. AI has several options for enhancing the standard and accessibility of education, with the ability to revolutionise administrative, teaching, and learning procedures. It is the most sought out technology in the current times.Owing to the importance of Artificial Intelligence, the management of Nallamuthu Gounder Mahalingam College had a fore thought to introduce a UG Programme in Computer Science with Artificial Intelligence & Machine Learning. The department had its inception in the Academic Year 2022-2023. Our three-year Artificial Intelligence and Machine learning course has been structured to give thorough understanding of the field of computer science whilst providing you with the opportunity to develop a strong theoretical grounding in Artificial Intelligence with many opportunities to put things in to practice. Artificial Intelligence is one of the current hot topics in Computer Science and of the society more broadly. It is at the heart of everyday technology and the understanding and application of AI holds the key to solve many current and future real-world problems.
Department Profile
Dept of Artificial Intelligence and Machine learning
Vision
To be a leading school of emerging trends in Artificial Intelligence and Machine Learning that affords quality education to equip students with the technical know-how, ascertain their hidden talents, provide ambient environment to show case their highest potential and to transform the students to be creative and innovative leaders and entrepreneurs as anticipated by the Industry
Mission
• To offer a broad and balanced academic plans that strengthens and emphasizes high quality and creative instruction
• To strive for quality education that will prepare young minds for imbibing knowledge, skills and sensitivity.
• To create a platform for students for exploring their creative potential and nurturing the spirit of entrepreneurship and critical thinking.
• To inculcate a strong belief in hard work and equip students with the skills needed to adapt better to the changing global scenario and gain access to multiple career opportunities.
Category:
Highlights
HIGHLIGHTS OF THE COURSE
• Curriculum matching the global standards, Strong industry-academia interface.
• Facilitate students to meet the demands of the Cutting Edge technology
• Provision of Adjunct faculty to handle specialized course contents
• State of the art laboratory facilities to provide hands-on experience through Laboratory and project-based Learning
• Internships and Project Mentoring by industry
• Blended Learning
• ICT Class rooms
• Extra emphasis on Training & Placement Programs
• Global exposure via international exchange programs
• Top recruiters including blue-chip firms
Association
Department of Artificial Intelligence & Machine Learning
Association name: COGNITIVES
Motto: “Change your thoughts and Sculptor the world”
Office bearers for the Academic Year 2023-2024
President Mr. T. Nagagowtham
Secretary Mr. T. Yogesh
Treasurer Ms. P. Vaishnavi
Ms. T. Nivitha
| Program Educational Objectives (PEOs) | |
| The B.Sc. Computer Science with Artificial Intelligence & Machine Learning program describe accomplishments that graduates are expected to attain within five to seven years after graduation. | |
| PEO1 | Expertise with the principles of Artificial Intelligence and problem solving, inference, perception, knowledge representation, and learning |
| PEO2 | Exhibit high standards with regard to application of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning and deep learning models |
| PEO3 | Investigate with a machine learning model for simulation and analysis and explore the scope, potential, limitations, and implications of intelligent systems. |
| PEO4 | Establish the ability to Listen, read, proficiently communicate and articulate complex ideas with respect to the needs and abilities of diverse audiences. |
| PEO5 | Instill key technologies in Artificial Intelligence, Machine Learning and deep learning, visualization techniques, Natural language processing and Robotics. |
| Programme Outcomes (POs) | |
| On successful completion of the B.Sc. Computer Science with Artificial Intelligence & Machine Learning | |
| PO1 | Domain Knowledge: Demonstrate a sound understanding of all the main areas of Machine Learning & AI and also demonstrate the ability to exercise critical judgement in the evaluation of Machine Learning and AI applications. |
| PO2 | Problem Analysis: Understand how to distill a real-world challenge as an artificial intelligence problem, involving explicit representation and learning of symbolic and numeric models; reasoning about such models; and using such models for decision making, action selection, and interaction with humans. |
| PO3 | Design/development of solutions: Design and develop research-based solutions for complex problems in artificial intelligence and machine learning industry through appropriate consideration for the public health, safety, cultural, societal, and environmental concerns. |
| PO4 | Communicative & oratorical Skills:Establish the ability to Listen, read, proficiently communicate and articulate complex ideas with respect to the needs and abilities of diverse audiences. |
| PO5 | Exhibit Entrepreneurial Skills: Deliver innovative ideas to instigate new business ventures and possess the qualities of a good entrepreneur. |
| PO6 | Ethics: Recognize the social impact of artificial intelligence and the underlying responsibility to consider the ethical, privacy, moral, and legal implications of artificial intelligence technologies. |
| PO7 | Individual and teamwork:Graduates will be able to undertake any responsibility as an individual/member of multidisciplinary teams and have an understanding of team leadership. |
| PO8 | Use of State-of-the-Art AI and machine learning tools & techniques: Design, analyze, implement, and use state-of-the-art AI and machine learning tools & techniques for dealing with real-world data, including data involving vision, language, perception, and uncertainty. |
| PO9 | Dynamism and Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |
| PO10 | Research instinct: Apply AI and ML specific research techniques, tools,methods, design of experiments, analysis and synthesis of the information for conducting investigations of complex problems. |
| Programme Specific Outcomes (PSOs) | |
| After the successful completion of BSc Computer science with Artificial Intelligence and Machine Learning program, the students are expected to | |
| PSO1 | Exhibit good domain knowledge and completes the assigned responsibilities effectively and efficiently in par with the expected quality standards for Artificial Intelligence and Machine Learning professional. |
| PSO2 | Apply the technical and critical thinking skills in the discipline of artificial intelligence and machine learning to find solutions for complex problems. Design and develop research-based solutions for complex problems in artificial intelligence and machine learning industry through appropriate consideration for the public health, safety, cultural, societal, and environmental concerns.
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| Research & Awards (Details) | PDF File |
|---|---|
| Dr.S.Niraimathi Served as a Resource Person for a Techtalk series on a "Sneak peek into Artificial Intelligence and its Use Cases" on 12.12.2022 organized by the Department of Computer Science at KPR College of Arts, Science & Research | https://www.ngmc.org/wp-content/uploads/2024/04/niramathimam-thanks.pdf |
| Dr.S.Niraimathi Acted as a Resource person in an International Webinar on "Scientific Story Telling: Weaving Narratives for Research Impact" held on February 15, 2024, organized by the Department of Biochemistry and Bioinformatics, of MGR Janakiammal College of Arts & Science, Chennai | https://www.ngmc.org/wp-content/uploads/2024/04/Dr.Niraimathi-MGRJanakicollegeResourceperson.pdf |
| Dr.S.Niraimathi has done NPTEL Online certification funded by MOE, Govt of India and has Sucessfuly completed the course on Software Conceptual Design conducted by IIT Bombay | https://www.ngmc.org/wp-content/uploads/2024/04/Software-Conceptual-DesignCertificate.pdf |
| Dr.S.Niraimathi has done Faculty Development Programme jointly organised by NPTEL in association with AICTE funded by MOE, Govt of India and has Sucessfuly completed the course on Software Conceptual Design conducted by IIT Bombay | https://www.ngmc.org/wp-content/uploads/2024/04/FDP23CS66S74450015720278757.pdf |
| Dr.S.Niraimathi Served as a Resource person for a Faculty Development Programme on "AI TOOLS FOR TEACHERS" Conducted by the Department of ComputerScience(SF) and the P.G.Department of Botany held on 10.08.2023 at NGM college Pollachi | https://www.ngmc.org/wp-content/uploads/2024/04/RESOURCEPERSONAITOOLS.pdf |
| Dr.S.Niraimathi has done Faculty Development Programme jointly organised by NPTEL in association with AICTE funded by MOE, Govt of India and has Sucessfuly completed the course on Software Testing conducted by IIT Bombay | https://www.ngmc.org/wp-content/uploads/2024/04/Software-Testing-1.pdf |
| Dr.S.Niraimathi has done NPTEL Online certification funded by MOE, Govt of India and has Sucessfuly completed the course on Software Testing conducted by IIT Bombay | https://www.ngmc.org/wp-content/uploads/2024/04/Software-Testing.pdf |
A DEEP NEURAL NETWORK TO CLASSIFY THE SPECIES OF NATURAL VEGETATION BASED ON VEGETATION INDEX
Dr.S.Niraimathi
R.K Publishers
2023
BIPOLAR DISORDER DIAGNOSIS WITH RECURRENT NEURAL NETWORKS USING PROBABILITY DENSITY FUNCTION
Dr.S.Niraimathi
A Journal of New Zealand Herpetology
Volume Vol 12 Issue 02, Year 2023
A Fully Connected Deep Neural Network Model For Dynamic Natural Vegetation Environment
Journal of European chemical bulletin
Volume 12, Issue- 1(2023). ISSN 2063-5346, April 22,2023
A MODERN WAY TO ANALYSE AND CLASSIFY NATURAL VEGETATION SPECIES USING DEEP LEARNING APPROACHES
Dr.S.Niraimathi
BioGecko, A journal for New-Zealand Herpetology
Volume Volume 12,Issue 03 2023,ISSN No:2230-5807, Year 2023
A NOVEL APPROACH FOR BIPOLAR DISORDER PREDICTION USING PSO-GKFCM HYBRID CLUSTERING AND WEIGHTED FEATURE SELECTION
Dr.S.Niraimathi
European Chemical Bulletin
Volume VOL 12 Special Issue 4, Year 2023
Design of Deep Network Model for Vegetation Monitoring and Classification using Learning Approaches
Dr.S.Niraimathi
Journal of Fundamental and Comparative Research,
Volume Vol. VIII, No. 1(XXII) : 2022 ISSN: 2277-7067, Year 2022
Constructing an efficient Classifier Model for Natural Vegetation Using Regional Convolutional Neural Networks
Dr.S.Niraimathi
Research Opportunities of Computing in Life Science
2022
A REVIEW ON DETECTION AND PREDICTION OF BIPOLAR DISODER USING DEEP LEARNING
Dr.S.Niraimathi
Indian journal of Natural Science
Volume Vol.13 ,Issue 75, Year 2022
BD-MDL: BIPOLAR DISORDER DETECTION USING MACHINE LEANRING AND DEEP LEARNING
Dr.S.Niraimathi
ournal of Pharmaceutical Negative Result
Volume Vol 13, Issue 7, Year 2022
An Intelligent And Optimal Resource Allocation Approach In Sensor Networks For Smart Vegetation-IoT
Dr.S.Niraimathi
Multidisciplinary Research Organized By Indian Academicians And Researchers Association
Volume Volume 8, Issue 3 (IV) Part -1, ISSN 2394 – 7780, Year 2021
Survey on Natural Vegetation using Data Mining Algorithms and IoT Techniques
Dr.S.Niraimathi
Zeichen Journal
Volume Volume 6,Issue 11, Year 2020
A Preview of Natural Vegetation and Pedo-diversity in India Estimated Using Data Mining Techniques
Dr.S.Niraimathi
Karpagam JCS
Volume Vol.14 Issue 2, Year 2020
Transmogrified Imputation Algorithm for Clustering Data in Missing Data Imputation
Dr.S.Niraimathi
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
ISSN: 2321-9653, Volume Vol.7 Issue 3, Year 2019
PERFORMANCE ANALYSIS OF MACHINE LEARNING CLASSIFICATION TECHNIQUES TO PREDICT LUNG DISEASES
Dr.B.Azhagusundari
Journal of the Maharaja Sayaijirao University of Baroda
2023
LUNGS SEGMENTATION AND CLASSIFICATION USING MACHINE LEARNING IN CHEST X-RAY IMAGES
Dr.B.Azhagusundari
Shodha Prabha (UGC CARE Journal) Shri Lal Bahadur Shastri Rashriya Sanskrit Vidyapeetha
2023
PARTICLE SWARM OPTIMIZER GUIDED ACTIVE CONTOUR MODEL FOR LUNG IMAGE SEGMENTATION
Dr.B.Azhagusundari
ADALYA JOURNAL
2023
“HIERARICAL CLUSTER BASED DATA PRE-PROCESSING FOR STOCK MARKET DATA PREDICTION”
Dr.B.Azhagusundari
Journal of Pharmaceutical Negative Results
2022
“A Novel Ensemble classification techniques method to Improve the prediction of Cardiovascular Disease”
Dr.B.Azhagusundari
Journal of the Maharaja Sayaijirao University of Baroda
2022
Enhanced weighted quadratic random forest algorithm for heart disease prediction
Dr.B.Azhagusundari
Design Engineering
2021
Heart Disease Data Pre-Processing Using Enhanced Data Mining Techniques
Dr.B.Azhagusundari
nternational Journal of Advanced Science and Technology
2020
A REVIEW ON HEART DISEASE PREDICTION USING MACHINE LEARNING
Dr.B.Azhagusundari
IJRSE
2020
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UG, PG and Research Departments (Self Financing)
