Department of

INFORMATION TECHNOLOGY

ABOUT THE DEPARTMENT

The Department of Information Technology was started in the year 1998-99 with an intake of 40 students. In tune with the growing demand profile globally for IT, the intake level was enhanced to 60 in the year 2000. The Department is accredited by NBA and by NAAC with ‘A’ Grade for the period of five years. Our vision is to transform our department into a quality hub, by providing technology updated education with ethical values. We have professional membership with various reputed societies like CSI, ISTE and IEEE.

We have signed MOU’s with various reputed industries and with that relationship we are organizing several Guest Lectures, Workshops, Skill Development Programs, Value Added courses and Industrial Visits. The Department has the state-of the art facilities for various labs with newly configured machines and Latest IBM Servers, well equipped Seminar halls with Smart board facility, Capacious class rooms to support e-learning and a Department library. The Department also has 100 Mbps of Internet Connectivity.

DEPARTMENT
VISION & MISSION

VISION:

  • To transform our department into a quality hub, by providing technology updated education with ethical values.

MISSION:

  • To develop our students, with comprehensive knowledge across the technological areas and to build their ability, to apply the technical theory, design and implementation for the given problems.
  • To prepare our students, by facilitating a prominent environment for their learning’s and applications of Information Technology, which will enable them to work in teams and to become successful in their careers.
  • To motivate Scientific Research among students, that will help them in establishing technological innovations and management for the society.

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

  1. Demonstrate core competence in basic engineering and mathematics to design, formulate, analyze, and solve hardware/software engineering problems.
  2. Develop insights in foundational areas of Information Technology and related engineering to address real world problems using digital and cognitive technologies.
  3. Collaborate with industry, academic and research institutions for state-of-the- art product development and research.
  4. Inculcate a high degree of professionalism, effective communication skills and team spirit to work on multidisciplinary projects in diverse environments.

PROGRAMME OUTCOMES (POs)

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 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.

PROGRAM SPECIFIC OUTCOMES (PSOs)

PSO1: Ability to apply programming principles and practices for the design of software solutions in an internet-enabled world of business and social activities.

PSO2: Ability to identify the resources to build and manage the IT infrastructure using the current technologies in order to solve real world problems with an understanding of the tradeoffs involved in the design choices.

Programmes OFFERED

B.TECH.
INFORMATION TECHNOLOGY

HIGHLIGHTS

  • Accredited by National Board of Accreditation.
  • The Department received Rs.40 Lakhs from DST-FST.
  • The Department received funds from ICMR, AICTE & top organizations for conducting FDP, Workshops, Seminars & other events.
  • The department has a library with over 917 books & back volumes.
  • Students are motivated by doing in-House projects.
  • Our students received “Best outgoing student award “for 3 consecutive years.
  • Achieved Guinness Record “To portrait of Dr. A.P.J Abdul Kalam Face” by our student.
  • The students are taken for Industrial Visit and they undergo in-Plant training in reputed organizations to obtain technical knowledge in their relevant field.
  • The Department has set up of Coding Club Activity.
  • The faculty are members of professional bodies like IEEE, CSI, ISTE, ACM etc.
  • Every year the department conducts a National Level Technical Symposium – DESPOTIX.
  • The department conducts a National Conference every year for the benefit of Faculty and Student Community.
  • FDP, Workshops, Seminars etc. are conducted for upgrading the skills of Faculty & Students.

LIST OF FACULTY

Sl. NoName ListDesignationQualificationDOJ
1Mrs.Sermakani A MAssociate Professor & HeadM. E13.08.2007
2Dr. Geetha MProfessorM.E. PhD20.09.2023
3Ms.Julia Faith SAssistant ProfessorM. TECH14.06.2012
4Mrs.Veena TAssistant ProfessorM. TECH14.06.2012
5Mrs.Chithra DAssistant ProfessorM. E20.12.2019
6Mr.Senthil PAssistant ProfessorM. TECH08.06.2017
7Mrs.Hima VijayanAssistant ProfessorM. TECH15.07.2022
8Mrs.S.KrishnaveniAssistant ProfessorM. E13.07.2021
9Mrs.S.AshaAssistant ProfessorM. E13.07.2021
10Mrs.Seetha AAssistant ProfessorM. E02.03.2023
11Mrs.K.ValarmathiAssistant ProfessorM. E10.03.2023
12Mrs. Sutha MerlinAssistant ProfessorM. E16.06.2023

FACULTY

HEAD OF THE DEPARTMENT

Mrs.A.M.SERMAKANI

ASSOCIATE PROFESSOR

SPECIALIZATION: CLOUD COMPUTING, BIG DATA ANALYTICS, DATA MINING 

PROFESSOR

Dr. M. Geetha

PROFESSOR

SPECIALIZATION: AUTOMATA THEORY, AI WITH MACHINE LEARNING AND COMPUTATIONAL INTELLIGENCE

ASSISTANT PROFESSORS

Ms.S.JULIA FAITH

ASSISTANT PROFESSOR

SPECIALIZATION: NETWORKS, BIG DATA ANALYTICS

Mrs.T.VEENA

ASSISTANT PROFESSOR

SPECIALIZATION: ARTIFICIAL INTELLIGENCE

Mrs. D.CHITHRA

ASSISTANT PROFESSOR

SPECIALIZATION: NETWORKING

Mr.P.SENTHIL

ASSISTANT PROFESSOR

SPECIALIZATION: SOFTWARE TESTING

Mrs.HIMA VIJAYAN

ASSISTANT PROFESSOR

SPECIALIZATION: ARTIFICIAL INTELLIGENCE

Mrs.S.KRISHNAVENI

ASSISTANT PROFESSOR

SPECIALIZATION: ARTIFICIAL INTELLIGENCE

Mrs.S.ASHA

ASSISTANT PROFESSOR

SPECIALIZATION: PROGRAMMING LANGUAGES & DATA STRUCTURE

MRS. A. SEETHA

ASSISTANT PROFESSOR

SPECIALIZATION: ARTIFICIAL INTELLIGENCE, DEEP LEARNING

MRS. VALARMATHI K

ASSISTANT PROFESSOR

SPECIALIZATION: NETWORKING

Mrs. SUTHA MERLIN J

ASSISTANT PROFESSOR

SPECIALIZATION: ARTIFICIAL INTELLIGENCE,
NETWORKING