Computer Science & Engineering

About the Department

The Department had a humble beginning with an intake of 60 students in Under Graduate program in Computer Science and Engineering (B.E.) in the year 2010. Post Graduate program in Computer Science and Engineering (M.E.) was introduced in the year 2014 with an intake of 18 students. Today the Department caters to the needs of 396 students.

The Department has been recognized as a Research Centre by Anna University, Chennai in the year 2017. The Department has excellent infrastructure in terms of laboratories, classroom, seminar hall, etc. Laboratories are networked with seamless internet connectivity with the speed of 50Mbps. The Department has Wi-fi facility which makes the faculty and students to update and refer the latest technology in their area of interest.

The Department is stepping forward to expand its wings from the national to international arena through innovative teaching practices and industrial/academic collaborations. Department has signed MoUs with Artificial Intelligence Lab & DMS Lab, Konkuk University, Seoul, South Korea, Cloud Assert, USA and more. To equip with the state of the art technology, the students are offered with value added courses in Data Science and Big data analytics by Dell EMC², Oracle and Java.

The Special Interest Group is formed in System engineering, Network and Security, Artificial Intelligence and Data Mining which provides a wider platform for the faculty and students to explore their technical skills in their specific area of interest.

The membership activities in professional bodies like CSI, IAENG, ISTE thrives the students to participate in various state and national level technical events. The Department consistently produces University ranks. It has a constant placement record of students in CTS, Accenture, IBM, ZOHO, Oracle etc. The department continuously strives to improve its academic quality through outcome based education with the dedicated faculty and staff team.

Vision

To foster the students by providing learner centric teaching environment, continuous learning, research and development to become thriving professionals and entrepreneurs to excel in the field of computer science and contribute to the society.

Mission

Providing value based education and contented learning experience to the students.
Educating the students with the state of art technologies and cultivating their proficiency in analytical and designing skills.
Enabling the students to achieve a successful career in Computer Science and Engineering or related fields to meet the changing needs of various stakeholders.
Guiding the students in research by nurturing their interest in continuous learning towards serving the society and the country.

Courses Offered

UG (Under Graduate) – B.E Computer Science and Engineering (4 Years)
PG. (Post Graduate) – M.E. Computer Science and Engineering (2 Years)
Ph.D. (Doctor of Philosophy

Anna University Regulations

Programme Educational Objectives

The Program Educational Objectives (PEOs) of the CSE represent major accomplishments that the graduates are expected to achieve after three to five years of graduation.

PEO3 : Develop innovative ideas to establish themselves as professionals and entrepreneurs in computing industry.

PEO4 : Continue to learn new technologies through higher studies and research.

Program Outcomes

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, review 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 the 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 modeling 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.

CSE

The fundamentals of computer science will never go out of the fashion. Whatever the future holds, the basic theory of computer science will remain the same.

Program Specific Outcomes

PSO1
An ability to identify and analyze data management system like data acquisition, big data so as to facilitate the students in solving problems using the techniques of data analytics.

PSO2
An ability to apply design and development principles of hardware and software in emerging technology environments like cloud computing and cyber forensics.