Computer Science and Business System
Computer Science and Business System
HOD’s Message

Nandha Kumar N
Educational Qualification : M.E
Teaching Experience :23 Years
Industry Experience : NIL
Computer Science and business systems is one of the fastest growing engineering fields in all over the world. We are also part of that. The Department seeks to combine excellence in education and research with service to the industry. Our vision is to be recognized as innovative and leading Computer Science and business systems Department in the India and beyond.
Our goal is to provide students with a balance of intellectual and practical experiences that enable them to serve a variety of societal needs.
We train all students such a way that, they are compatible at national level as well as also stand at international level. Our highly qualified faculty members not only provide knowledge to the student but motivate them to be intellectuals and professionals in their approach.
Vision & Mission
Programs Outcomes & Objective
Programme Outcomes (POs)
Program Outcome describe the knowledge, skills and attitudes the students should have at the end of a four year engineering program.
Engineering Graduates will be able to:
- 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.
Programme Specific Outcomes (PSOs)
- To display competence in Computer Science while appreciating the significance of the management sciences and human ethics.
- To formulate, identify, and apply relevant strategies, resources, and advanced engineering and business technologies, including predictive modeling and data analytics, to complex engineering and business activities.
List of Laboratory
Problem Solving and Python Programming Laboratory
Physics and Chemistry Laboratory
Engineering Practices Laboratory
Data Structures Design Laboratory
Department Activities
Code of Conduct
Our Department of Computer Science and Engineering & Computer Science and Business Systems conducted “Code of Conduct” at A1 Block – 102 & 103 on 03.07.2023 for the 3rd year students. Dr.P.C.Senthil Mahesh HOD/CSE welcomed and addressed the students about neat dress code, wearing ID Cards, shoes, professional haircut, not using mobile phones in classrooms during class hours, computer centre, library, Maintenance of attendance percentage, Value Added Programs details, Honors and Minor Degree for 2021-2025 batch students, One credit course, NPTEL course Details, Course Registration Form Details, Fast track Mode, Placement Trainings, Not paying Tuition Fees/Hostel Fees/any other charges by specified time, No one is allowed to come to college by bike and All students are directed to ensure that they maintain discipline at all times etc.,
Value Added Course on “Data Analytics”
ATOS sponsored CSR initiative 15 days Value Added Course on “Data Analytics” conducted by Department of Computer Science and Engineering & Computer Science and Business Systems at TVR Hall. The resource person is Mr.Deepak Ganesan, Senior Technical Trainer, ICT ACADEMY. It is a good way to start preparing so that you can build up your resume and start applying for data analytics jobs is with some hands-on experience. Data analytics projects for grade students can help them learn big data analysis by doing instead of just gaining theoretical knowledge. Data analytics projects for practice help one identify their strengths and weaknesses with various big data tools and technologies. You may feel that you are better able to understand and grasp some projects or some parts of a project more than others. Exploring various big data projects gives a better idea of where your interests lie while working with different analytics tools. Working on advanced projects boosts your confidence with respect to working in the field of data analytics and gives you a sense of accomplishment once you manage to complete a certain project.
Faculty Name List (2021-2022, 2022-2023, 2023-2024, 2024-2025, 2025-2026)
S.No | Name of Faculty | Designation | Qualification | Specialization | Date of Joining | Total Year of Experience |
1 | MATHI V | ASSISTANT PROFESSOR | M.E. | CSE | 01-07-2019 | 6 |
2. | NANDA KUMAR N | ASSISTANT PROFESSOR | M.E. | CSE | 20-06-2022 | 23 |
3. | NATHIYA S | ASSISTANT PROFESSOR | M.E. | CSE | 02-03-2022 | 8 |
4. | SARAVANAN AP | ASSISTANT PROFESSOR | M.E. | CSE | 01-03-2023 | 13 |
5. | TAMILSELVI M | ASSISTANT PROFESSOR | M.E. | CSE | 06-11-2023 | 2 |
6. | KARTHIKA S | ASSISTANT PROFESSOR | M.E. | CSE | 01-03-2024 | 1 |
7. | BOOBALAN P | ASSISTANT PROFESSOR | M.E. | CSE | 05-06-2024 | 1 |
8. | THENMOZHI N | ASSISTANT PROFESSOR | M.E. | ECE | 01.08.2024 | 1 |