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Information Technology

VISION

To achieve academic excellence by producing globally competent IT professionals with ethical values.

MISSION

DM 1: To provide quality education by imparting strong foundation to adapt the challenging technologies.

DM 2: To promote knowledge through continuous learning and technical skills in the field of Information Technology.
DM 3: To create professionals with entrepreneurship skills and ethical values for the society.

PROGRAM OUTCOMES [POs]

  1. ENGINEERING KNOWLEDGE: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. PROBLEM ANALYSIS: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. DESIGN / DEVELOPMENT OF SOLUTIONS: Design solutions for complex engineering problems and design system components or processes that meet t h e specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  4. CONDUCT INVESTIGATIONS OF COMPLEX PROBLEMS: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  5. MODERN TOOL USAGE: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
  6. THE ENGINEER AND SOCIETY: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. ENVIRONMENT AND SUSTAINABILITY: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8. ETHICS: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. INDIVIDUAL AND TEAM WORK: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. COMMUNICATION: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  11. PROJECT MANAGEMENT AND FINANCE: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  12. 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

PROGRAM SPECIFIC OUTCOMES (PSOs)

PSO 1: ANALYTICAL THINKING

Identify, formulate and solve engineering problems by applying mathematical foundations and algorithmic principles in IT environment to meet industrial challenges.

PSO 2: PRINCIPLES OF INFORMATION TECHNOLOGY

Analyze, design and develop Software, Multimedia, Web applications and Networking technologies for an efficient design of Information Technology based systems with high professional skills.

PSO 3: ENGINEERING ETHICS

Understand best practices, ethical standards and replicate the same for the industry, research and societal needs.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

PEO 1: TECHNICAL PROFICIENCY WITH EMPLOYABILITY SKILLS

To provide a strong foundation in mathematical, logical and engineering core concepts necessary to plan, analyze and solve engineering problems and to prepare them for employability.

PEO 2: CONTINUOUS LEARNING

To promote students to pursue higher studies and to continue the learning process through research and development in effective technical aspects.

PEO 3: INCULCATING ENTREPRENEURIAL SKILLS

To prepare students to be an active team player, possessing strong interpersonal skills and leadership qualities with entrepreneurial ability.

PEO 4: ETHICAL VALUES

To inculcate ethical values in students on both professional and personal practices.

Goal

  • To achieve 100% results in the university examination
  • To secure more university ranks with maximum number of students securing distinction

SL. NONameQualificationDesignation
1Dr.K.KALAIKUMARM.Tech., Ph.DHOD/ Associate Professor
2Mrs. M. MAHESWARIM.E.,(Ph.D)Assistant Professor
3Mrs. S. MARY DIANAM.E.,(Ph.D)Assistant Professor
4Mrs. JENIFER JM.Tech.,(Ph.D)Assistant Professor
5Ms. HAMLET BM.E.,(Ph.D)Assistant Professor
6Mr. JEBA KINGSLEY DB.E.,M.Tech.,MBA.,(Ph.D)Assistant Professor
7Mrs. SYLVIA SHARON DM.E.,(Ph.D)Assistant Professor
8Mrs.N.VINODHAM.EAssistant Professor
9Mrs. DIVYA.KB.Tech.,M.EAssistant Professor
10Mrs.ELAKIYA.RM.E.,(Ph.D)Assistant Professor

Laboratories :

  • Problem Solving and Python Programming Laboratory
  • Programming in C Laboratory
  • Information Technology Essentials Laboratory
  • Data Structures Laboratory
  • Object Oriented Programming Laboratory
  • Database Management Systems Laboratory
  • Operating Systems Laboratory
  • Networks Laboratory
  • Web Technology Laboratory
  • Mobile Application Development Laboratory
  • Object Oriented Analysis and Design Laboratory
  • FOSS and Cloud Computing Laboratory
  • Security Laboratory

Center of Excellence (CoE)

Dell EMC Center of Excellence (CoE)

About the Center

The Dell EMC Center of Excellence has been established to foster innovation, research, and advanced learning in the fields of cloud computing, data storage, virtualization, and emerging digital technologies. This center serves as a dedicated hub where students and faculty can collaborate with industry experts to gain hands-on experience using Dell EMC infrastructure and solutions.

The CoE provides a unique platform to bridge the gap between academic learning and industry practices, equipping students with future-ready skills in enterprise technologies.


Vision

To create a globally recognized hub of innovation and knowledge in cloud, storage, and data technologies that nurtures talent, supports research, and drives digital transformation in line with industry demands.


Mission

  • To offer training and certification programs on Dell EMC technologies.

  • To promote industry-oriented research projects in data science, AI, and cloud computing.

  • To develop skilled professionals equipped with practical expertise in enterprise IT solutions.

  • To build strong academia-industry partnerships through internships, workshops, and collaborative projects.


Objectives

  • Provide students with hands-on training in Dell EMC technologies such as cloud infrastructure, storage systems, data protection, and virtualization.

  • Encourage innovation and entrepreneurship in data-driven applications.

  • Enable students to earn global certifications from Dell EMC.

  • Support faculty development programs and research collaborations.


Key Facilities

  • Dedicated Dell EMC Lab Infrastructure with high-end servers, storage devices, and virtualization platforms.

  • Access to Dell EMC Academic Alliance curriculum and learning resources.

  • Project incubation space for student innovations.

  • Support for hackathons, workshops, and industry-driven events.


Benefits to Students

  • Industry-recognized certifications from Dell EMC.

  • Hands-on exposure to enterprise IT environments.

  • Opportunities for internships and placements with leading IT companies.

  • Guidance for research, publications, and innovation competitions.

  • Enhanced employability through future-ready skill development.


Activities & Programs

  • Training and certification programs in cloud infrastructure and storage technologies.

  • Faculty development workshops in collaboration with Dell EMC.

  • Research projects focusing on data analytics, big data, and AI applications.

  • Annual industry connect events showcasing student innovations.

Sl.NoName of the AuthorsTitle of the PaperMonth & YearVolume,Issue,&Page no.Name of the Journal With Publisher ISSN Number
1Mary Diana SUnveiling fraudulent transactions using logistic regression2024Vol 4ISBN: 978-81-97133-99-2
2Maheswari MPrediction of solar power generation and radiation usingmachine learning algorithms2024Vol 4ISBN: 978-81-97133-99-2
3R. BalamuruganNature disaster classification using tensorflow and keras model2024Vol 4ISBN: 978-81-97133-99-2
4Maheswari MHotel booking system using augumented reality2024Vol 4ISBN: 978-81-97133-99-2
5Maheswari MHotel booking system using virtual reality2024Vol 4ISBN: 978-81-97133-99-2
Mrs Mary Diana S
Mrs Jenifer J
8Nageswari VSynergizing deep learning and tkinter for brain tumor detection interface2024Vol 4ISBN: 978-81-97133-99-2
9Jeba KingsleyEnhancing diagnostics: cnns for automated malaria cell classification2024Vol 4ISBN: 978-81-97133-99-2
10VinodhaMacula oct disease images classification using deep learning techniques2024Vol 4ISBN: 978-81-97133-99-2
11Jeba KingsleyCardio insight: a hybrid approach for data analytics inpredicting and managing heart diseases2024Vol 4ISBN: 978-81-97133-99-2
12Mary Diana SAnalyse & predict the air pollution in india using memory based learning approaches2024Vol 4ISBN: 978-81-97133-99-2
13D. Jeba KingsleyModel selection of hybrid feature fusion for coffee leaf disease - classification by using2024Vol 4ISBN: 978-81-97133-99-2
15Jenifer JA broad assistance on crisis circumstance utilizing web application2024Vol 4ISBN: 978-81-97133-99-2
16Sylvia Sharon DNetwork traffic cyber attack classification using supervised machine learning techniques2024Vol 4ISBN: 978-81-97133-99-2
Sl.NoName of the FacultyDetailsIndian/othersPatent Registration NoDate of FillingStatus
1Mrs.M.MaheswariAUTONOMOUS DRONE SWARM WITH DECENTRALIZED CONTROL ALGORITHMS FOR COMPLEX TERRAIN NAVIGATIONIndia202441048100 A:22/06/2024Published
2Mrs.M.MaheswariINTEGRATION OF IOT & WSN FOR REMOTE PATIENT MONITORING DEVICEIntellectual property India407942-0012/18/2024Published
3Mrs Mary DianaINTEGRATION OF IOT & WSN FOR REMOTE PATIENT MONITORING DEVICEIntellectual property India407942-0012/18/2024Published
Sl.NoName of the AuthorsTitle of the PaperMonth & YearVolume,Issue,&Page no.Name of the Journal With Publisher ISSN NumberName of the ConferenceOrganizer
1Mary Diana SUnveiling fraudulent transactions using logistic regression2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
2Maheswari MPrediction of solar power generation and radiation usingmachine learning algorithms2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
3R. BalamuruganNature disaster classification using tensorflow and keras model2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
4Maheswari MHotel booking system using augumented reality2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
5Maheswari MHotel booking system using virtual reality2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
Mrs Mary Diana S
Mrs Jenifer J
8Nageswari VSynergizing deep learning and tkinter for brain tumor detection interface2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
9Jeba KingsleyEnhancing diagnostics: cnns for automated malaria cell classification2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
10VinodhaMacula oct disease images classification using deep learning techniques2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
11Jeba KingsleyCardio insight: a hybrid approach for data analytics inpredicting and managing heart diseases2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
12Mary Diana SAnalyse & predict the air pollution in india using memory based learning approaches2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
13D. Jeba KingsleyModel selection of hybrid feature fusion for coffee leaf disease - classification by using2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
15Jenifer JA broad assistance on crisis circumstance utilizing web application2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING
16Sylvia Sharon DNetwork traffic cyber attack classification using supervised machine learning techniques2023VOL-7ISBN: 978-81-97133-99-2RASMETDMI COLLEGE OF ENGINEERING

CLUBS

Data Science Club

Data Science Club serves as a platform for students to explore, learn, and innovate in the rapidly growing field of data science. The club focuses on building skills in data analysis, machine learning, artificial intelligence, big data, and visualization techniques through hands-on sessions, workshops, hackathons, and collaborative projects.Our mission is to cultivate analytical thinking, problem-solving skills, and industry-relevant knowledge among students, enabling them to transform data into meaningful insights. The club also encourages peer-to-peer learning, research activities, and knowledge sharing, bridging the gap between academics and real-world applications.
The Data Science Club is guided by Mrs. Jenifer J, Assistant Professor, Department of Information Technology, who mentors students in their journey to become future-ready data professionals.

AppXepert Club

The AppXepert Club of the Department of Information Technology serves as a vibrant platform for students to explore, innovate, and excel in the field of mobile and web application development. The club aims to nurture technical skills, creativity, and problem-solving abilities by encouraging students to design and develop real-time applications that address modern challenges.Through workshops, hackathons, seminars, and collaborative projects, the AppXepert Club provides hands-on learning experiences that bridge the gap between academic knowledge and industry requirements. It empowers students to stay updated with the latest tools, technologies, and trends in app development, while also fostering teamwork and leadership qualities.

The club functions under the guidance of Mrs. Divya K., Assistant Professor, Department of Information Technology, who mentors students in their journey of innovation and excellence.

Events Conducted

S.NOCOURSE CODECOURSE NAMEQUESTION BANK
1MA3354 Discrete MathematicsClick Here
2CS3352Digital Principles and Computer Organization Click Here
3CS3353Foundations of Data ScienceClick Here
4CD3291Data Structures and AlgorithmsClick Here
5CS3391 Object Oriented ProgrammingClick Here
6IT3501Full Stack Web DevelopmentClick Here
7CS3591Computer NetworksClick Here
8CS3551Distributed ComputingClick Here
9CS3691Embedded Systems and IOTClick Here
10CCW331Business AnalyticsClick Here
11CCS358Principles of Programming LanguagesClick Here
12MG8591Principles of ManagementClick Here
13CS8792Cryptography and Network SecurityClick Here
14CS8791Cloud ComputingClick Here
15IT8075Software Project ManagementClick Here
16OBM752Hospital ManagementClick Here

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