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 offers a four year B.E. Computer Science and Engineering Programme with a sanctioned intake of 120 from 2014-2015 onwards and a sanctioned intake of 180 from 2017-2018 onwards. The sanctioned intake was 60 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 9. 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. P.S.Prakash. The Department comprises of thirty seven 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 thirty seven members, ten members have completed their Ph.D degrees and ten 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 upliftment.


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.

  • The vision of the Computer Science and Engineering department is to develop in to a globally visible knowledge community, imparting technical training and research advancements with high technical competency and moral values.
  • The Mission of Computer Science and Engineering department is to produce Quality Engineers, Entrepreneurs, Researchers and Technical consultants capable of demonstrating unbounded programming skills, domain knowledge and excellent moral values for the advancement of sustainable societal needs.
  • 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 who effectively demonstrate engineering knowledge and entrepreneurial skills by providing practical solutions.
  • PEO2: Graduates of computer science and engineering who effectively demonstrate professionalism in multi- disciplinary engineering environment, leadership quality and teamwork.
  • PEO3: Graduates of computer science and engineering who make contributions to knowledge and establish best engineering practice through research and development.
  • PEO4: Graduates of computer science and engineering who demonstrate an ethical commitment to the community and the profession through involvement with professional organizations and society.
  • PEO5: Graduates of computer science and engineering who engage in life-long learning as demonstrated through career advancement.
  • 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.
  • PSO1: Engineering Knowledge: Apply the knowledge of programming fundamentals, algorithms, networks, architectures, software systems, and Computational Science for the solution of complex engineering problems
  • PSO2: Modern Tool Usage: Create, select and apply visual computing tools, human interaction systems, intelligent prediction and modelling to complex engineering activities with an understanding of its social and professional impact.

Department Facilities

Laboratory Library