Best Placements in 8 Consecutive Years

Department of Information Technology | Page Visit : 4 1 7 2

About Department

A four-year undergraduate degree (B.Tech) in information technology is offered by the Department of Information Technology, which is established in the year 2022. The Department offers a broad curriculum including: Database Management, Software Engineering, Management of Information Systems, Data mining, Computer Graphics, Advanced Internet Technology, Computer Networks, Machine Learning, Data science, Cyber Security, Operating System, Data Structures and Algorithms as the main courses and other courses in collaboration with the other departments of the institute at the undergraduate level.

All theory courses contain practical sessions with a greater emphasis on project-based learning in the syllabus, which helps students develop their logical reasoning and programming skills. The teaching and grading strategies used by our department's professors in all theoretical and lab courses are activity-based. The Department has collaborated with various industries for student and faculty training, industry-sponsored projects, and internships. Data science and machine learning are two important fields of study.

Short-Term Goals

    • Encourage students for Industrial Project and Internship.
    • Achieve academic outcomes of at least 80%.
    • Prepare students for an average placement package of Rs 3 lakh per year.

Long-Term Goals

  • Create consulting projects for the IT sector.
  • Establish Industry powered Research Centre.
  • Sign MoUs with major companies.
  • Work towards NBA accreditation.


  • To create intellectual IT professional leaders equipped with original thought, ground-breaking concepts and hands-on experience to tackle the worldwide challenges of contemporary Information Technology.


    • To provide dynamic learning environment for students and faculty for continuous learning to investigate, apply and transfer knowledge.
    • To facilitate the latest tools and technologies through Workshops, Conferences, Symposiums, Project Exhibitions, Student Conventions, MOOCs, NPTEL courses etc.
    • To promote fundamental research in the thrust areas of Information and Communication Technology through funding agencies.
    • To develop highly analytical and qualified IT engineers by imparting technical training in the field of Information Technology, machine learning, bigdata, Cyber security, Artificial Intelligence and IOT.
    • To maintain state-of-the-art facilities and laboratories where students and faculty can enhance their understanding of technology.
    • To establish computing centers of excellence in the fields of wearable computing, data science, machine learning, and robotics in order to expose students on latest software tools and computing technologies.
    • To encourage students to do research-based project and activities through industry institute interaction.
    • Incubate, apply and spread innovative ideas by collaborating with relevant industries and R&D labs through focused research groups.


    Graduates will be able to

    • Demonstrate technical competence with analytical and critical thinking to understand and meet the diversified requirements of industry, academia and research.
    • Exhibit technical leadership, team skills and entrepreneurship skills to provide business solutions to real world problems.
    • Work in multi-disciplinary industries with social and environmental responsibility, work ethics and adaptability to address complex engineering and social problems.
    • Pursue lifelong learning, use cutting edge technologies and involve in applied research to design optimal solutions.


    • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
    • Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
    • Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
    • 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.
    • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
    • 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.
    • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need B.TECH. INFORMATION TECHNOLOGY 2 for sustainable development.
    • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
    • Individual and team work : Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
    • 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.
    • 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.
    • 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.


    To ensure graduates

    • Have proficiency in programming skills to design, develop and apply appropriate techniques, to solve complex engineering problems.
    • Have knowledge to build, automate and manage business solutions using cutting edge technologies.
    • Have excitement towards research in applied computer technologies.

Head of the Department


Faculty Members







Professor & Head

Computer science and Engineering



Associate Professor

Software Engineering



Associate Professor

Computer science and Engineering

Laboratory Details





Python Programming lab

 FF 01

Computer Systems with Printer

Opensource OS,Projector,Audio system,Internet and  Free Wifi Facility

Database Lab

SF 02

Computer Systems with Printer

Opensource OS,Projector,Internet and  Free Wifi Facility

Operating System Lab

SF 03

Computer Systems with Printer

Opensource OS,Projector,Internet and  Free Wifi Facility

Communication Lab

New Block

Computer Systems with Printer

Opensource OS,Projector,Internet and  Free Wifi Facility`

Project Lab

FF 01

Computer Systems with Printer

Opensource OS,Projector,Internet and  Free Wifi Facility

Centre of Excellence


Teaching Methodology



Students studying engineering need to develop new life skills such as creativity, critical thinking, problem-solving and decision-making, as well as the ability to communicate and work with courses on a big scale that anyone can join online. The potential online education platforms include NPTEL, Coursera, Udacity, and edX, among many more. Online courses, also referred to as MOOCs, are a fantastic way to learn and develop one's skills in a specific sector.


The Anna University offers one credit courses to give students the opportunity to learn new skills and receive training that is relevant to the workplace.


  • Vaijayanthimala, J & Padma, T2019, ‘Synthesis Score Level Fusion Based Multifarious Classifier for Multi-Biometrics Applications’, Journalof Medical Imaging and Health Informatics, American Scientific Publishers, DOI:, vol. 9, no. 8, pp. 1673-1680(8), (Online)(Annexure I,Impact Factor:0.549).
  • Vaijayanthimala, J & Padma, T 2019, ‘Multi-Modal Biometric Authentication System Based On Face And Signature Using Legion Feature Estimation Technique’, Multimedia Tools and Applications, Springer,, pp. 1-20, ISSN1380-7501 (Print),ISSN1573-7721 (Online) (Annexure I,Impact Factor: 2.101).
  • J.Vaijayanthimala,O.Vaishnavi,P.D.Ramya,T.C.Sivapriya,” Technocard Cognizance using finger prints” in International journal for Innovative research in science and technology,volume 4,issue 10,march 2018.
  • J.Vaijayanthimala,Indhumathi.R “Melanoma Early Detection and Prevention with Real-Time Automated Skin Lesion using Dual Classifier” in Journal of Recent Research in Engineering and Technology 3(4), 2016, pp 17-26 Article ID J41604 ISSN (Online): 2349 –2252, ISSN (Print):2349 –2260.
  • J.Vaijayanthimala,R.Umagowri,Dr.T.Padma “Color Stabilization of Images through AWB and AE Correction methods” in Indian Journal of Engineering,2015,12(30),374-379 ,ISSN 2319-7757 ,EISSN 2319-7757.
  • Anoopkumar, J.Vaijayanthimala, Dr.T.Padma, “ Passive continuous authentication system using Artificial Bee Colony” in International journal of Latest Technology in engineering ,Management and applied science”( IJLTEMAS), ISSN 2278 - 2540 Vol 3, Issue 5, May 2014.
  • Thomas, J.Vaijayanthimala, “A Review of Automatic License Plate Detection Using Edge Detection Methods” in International Journal for Research in Applied Science and Engineering in Technology” (IJRASET), Vol 2 , Issue V, May 2014 ,ISSN: 2321-9653.
  • J.Vaijayanthimala,” Diminution of packet drop by Efficient Selection of network route in MANET” in International Journal of Computer Science Information Technology(IJCSIT), 2014,volume 5 isuue 2 pages 1852-1855,ISSN 0975-9646.
  • G.Kuppulakshmi,J.Vaijayanthimala,“Energy –“An Integrated Wireless sensor Network for monitoring gully pot Drainage, Land slides and Waste Gas Measurement” in International Journal of Scientific Engineering and Research, (IJSER) ISSN 2229-5518 Volume 04, Issue : 05 May 2013.
  • J.Vaijayanthimala, Dr.T.Padma, “A Novel approach to Signature Verification using Fractal Dimension”, Journal of Computer Applications (JCA) ISSN 0974-1925, Volume IV, Issue 3, 2011.
  • T.Sugapriya, J.Vaijayanthimala,“Energy –Efficient Dynamic Data Aggregation and Routing Trees for WSN” in International Journal of Communications and Engineering, (IJCE) Volume 05- No.5, Issue: 04 March 2012.
  • J.Vaijayanthimala, Dr.T.Padma, “ Multimodal Biometric System- Literature Survey ” in Journal of Management and Science (JMS) with ISSN number: 2249-1260 published by Non Olympic Times, Coimbatore.
  • J.Vaijayanthimala,Gowthapriya.P “Building Monitoring System for Low power wireless sensor network” International Research Journal in Advanced Engineering and Technology (IRJAET) E-ISSN-2454-4752 P-ISSN:2454-4744.












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Opposite Salem Airport,
Sikkanampatty Post,

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Dhirajlal Gandhi College of Technology

TNEA Code : 2345

Opposite Salem Airport, Sikkanampatty (po),

Omalur (Tk), Salem - 636 309.

Contact : +91 9500000651,+91 9489900130
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College Hours : 9:00am - 5:00pm