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NGM College – Pollachi
Nallamuthu Gounder Mahalingam College, Pollachi
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Dept of Artificial Intelligence and Machine learning

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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:
Artificial Intelligence

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.

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

  • Faculty
  • Programme Outcomes (PEO, PO & PSO)
  • Syllabus
  • Calendar of Events
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Dr. S. Niraimathi

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

Associate Professor & Head

EMail: niraimathi@ngmc.org
Profile (Vidwan-IRINS)

Dr.B.Azhagusundari

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

Associate Professor

EMail: azhagusundari@ngmc.org
Profile (Vidwan-IRINS)
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 & Researchhttps://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 Bombayhttps://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 Bombayhttps://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 Pollachihttps://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 Bombayhttps://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 Bombayhttps://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

FILE (PDF)

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

FILE (PDF)

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

FILE (PDF)

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

FILE (PDF)

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

FILE (PDF)

Constructing an efficient Classifier Model for Natural Vegetation Using Regional Convolutional Neural Networks

Dr.S.Niraimathi

Research Opportunities of Computing in Life Science

2022

FILE (PDF)

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

FILE (PDF)

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

FILE (PDF)

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

GOLD MARKET DATA PREDICTION USING KNN WITH PSO

Dr.B.Azhagusundari

ADALYA JOURNAL

2023

FILE (PDF)

PARTICLE SWARM OPTIMIZER GUIDED ACTIVE CONTOUR MODEL FOR LUNG IMAGE SEGMENTATION

Dr.B.Azhagusundari

ADALYA JOURNAL

2023

FILE (PDF)

“HIERARICAL CLUSTER BASED DATA PRE-PROCESSING FOR STOCK MARKET DATA PREDICTION”

Dr.B.Azhagusundari

Journal of Pharmaceutical Negative Results

2022

FILE (PDF)

“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

FILE (PDF)

Heart Disease Data Pre-Processing Using Enhanced Data Mining Techniques

Dr.B.Azhagusundari

nternational Journal of Advanced Science and Technology

2020

FILE (PDF)

A REVIEW ON HEART DISEASE PREDICTION USING MACHINE LEARNING

Dr.B.Azhagusundari

IJRSE

2020

FILE (PDF)
INTRA INSTITUTIONAL START-UP COMPETITION

INTRA INSTITUTIONAL START-UP COMPETITION

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PEER-TO-PEER SEMINAR

PEER-TO-PEER SEMINAR

2025-08-13 14:00:00
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IIC Seminar

IIC Seminar

2025-01-02 10:00:00
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A Skill Based Development Programme on Foundations of Mathematics and Computer Science

A Skill Based Development Programme on Foundations of Mathematics and Computer Science

2022-08-16 10:00:00
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SKILL BASED DEVELOPMENT PROGRAMME ON DATA ANALYTICS  USING HADOOP

SKILL BASED DEVELOPMENT PROGRAMME ON DATA ANALYTICS USING HADOOP

2022-12-18 10:00:00
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Workshop on “An Insight into Project building using Data Science Libraries”

2023-04-27 10:00:00
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Seminar on The Role of Artificial Intelligence and Data Science in  Innovative Research

Seminar on The Role of Artificial Intelligence and Data Science in Innovative Research

2024-01-12 10:00:00
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Workshop on “Hands on Session on Applications Development Using  Python Machine Learning Libraries”

Workshop on “Hands on Session on Applications Development Using Python Machine Learning Libraries”

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