Department of Computer Science & Engineering

About the Department

The Department of Computer Science and Engineering (CSE) was formed in the year 2002. It is AICTE approved and Affiliated to Anna University, Chennai. The Department is recently accredited by the National Board of Accreditation, New Delhi for two years on Outcome Based Education with effective from 2014. The Department offers a four year B.E. Computer Science and Engineering Programme with a sanctioned intake of 120 from 2014-2015 onwards. The sanctioned intake was 60 for a period from 2002 to 2014. The Department of CSE also offers a two year Post graduation Programme namely M.E. Computer Science and Engineering, started in the academic year 2013-2014. The sanctioned intake of the PG programme is 18. The Department follows the curriculum of Anna University which is updated regularly to keep up with the growing demands and the changing trends of the software industry and research laboratories. Besides the faculty members make sure that they also include ‘additional topics to be covered’ at the time of course plan preparation. This enables our students to remain updated and thereby provoke competency and interaction levels during their teaching-learning period at the institution.

The Department has state-of-the-art infrastructure and computing equipment supported by high speed Internet and wireless networks. The Department comprises of three smart classrooms and two laboratories exclusively for conducting the UG programme. Smart Classroom includes BenQ projector, projector screen, two speakers, an amplifier, two microphones, a CC camera and a computer system. The CSE Lab comprises of seventy two i3 WIPRO systems and a white board for effective teaching and learning. The NET lab comprises of sixty nine i3 WIPRO systems and a white board for effective teaching and learning. The Net lab supports Ubuntu 14.0 OS. There are two classrooms and a laboratory exclusively for PG programme.

The Department is headed by Professor Dr. R.M.S.Parvathi. The Department comprises of twenty knowledge rich and amicable members of faculty. The members of faculty aim at delivering top class education blending their rich research experience with classroom teaching. Among twenty members, two members have completed their Ph.D degrees and nine members are pursuing research in areas like Image Processing, Biometrics, Ad hoc Networks and Soft computing. All faculties are the active members of various professional societies like ISTE, CSI, ACM and the like. This enables them to bridge their knowledge with the students and be information rich. Computer systems with Internet connectivity is provided for each staff cabin which again helps in equipping them for preparing their lectures. The members of faculty also educate the interested students for various certification exams like CISCO, IIT initiated Spoken tutorials on various courses, NPTEL online courses, Infosys Campus Connect programmes, GATE coaching etc. The members of faculty are very keen to attend Faculty Development Programmes conducted by IIT and other institutions for their upliftement.


B.E. Computer Science and Engineering

M.E. Computer Science and Engineering

Anna University Research Centre for Ph.D

Message from Head of Department

Welcome to Department of Computer science and engineering. Our department’s vision is to be the center of excellence in higher education and offer high quality educational programmes based on the needs of our society through focused activities and excellence of its faculty, staff, graduates and facilities.

Our mission is to serve the public and the university community by providing superior career integrated education in computer science and engineering. This has been case for more than a decade and we fully expect to do this with an even higher sense of enthusiasm for many years to come.

  • To be a Centre of Excellence in Computer Science and Engineering
  • To promote the value of education and higher learning,
  • To develop positive attitude among students, and
  • To be productive based on the needs of our society
  • To prepare the students for a prospective career in the industry, academia, and public sector organizations,
  • To provide an outstanding environment for teaching, learning and research, and
  • To train the students in applying theory for practical applications

Consistent with the stated Vision and Mission of the institute and the programme, the faculty of the Department of Computer Science and Engineering strive to educate and train the students in a technologically sound and challenging environment in order to achieve the following educational objectives:

  • PEO1: Graduates of Computer Science and Engineering Programme will have successful technical / professional career
  • PEO2: Graduates of Computer Science and Engineering Programme will continue to learn and adapt in a world of constantly evolving technology
  • PEO3: Graduates of Computer Science and Engineering Programme are proficient and competent with sound knowledge, skills and attitudes that will allow them to make tangible contributions, meet new technological challenges, contribute effectively as team members, and be innovators in computer hardware, software, design, analysis and applications for the real life problems
  • 1. Engineering knowledge: Apply the knowledge of mathematics, science,engineering fundamentals, and an engineering specialisation for the solution of complex engineering problems.
  • 2. Problem analysis: Identify, formulate, research literature, and analyse 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 public health and safety, and 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 t h e 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 t h e 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: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
  • Ability to apply the fundamental principles of mathematics and Computer Science Engineering in finding feasible solutions.
  • Ability to develop software systems / products as per design specifications.
  • Ability to identify, select and use modern software tools and distributed computer architectures to conduct investigation on data and algorithms to arrive at valid conclusions or to identify and mitigate vulnerabilities.
  • Ability to adapt as members of diverse teams by exhibiting excellent communication skills and ethical values and engage in lifelong learning in the field of Computer Science and Engineering.

Department Facilities

Laboratory Library