The Department of Computer Science and Engineering (CSE) was established in the year 2001 with an intake of 45 students, since the start of the college and increased to 60 in the year 2002, and further increased by 120 students in the year 2007. The Post Graduate programme, M.E. – Computer Science and Engineering was established in the year 2007. The current intake of PG programme is 9. Computer Science and Engineering (Artificial Intelligence and Machine Learning) has been introduced in the year 2023 with an intake of 60 students. The primary objective of CSE department is to provide a world-class education in Computer Science and Engineering, preparing students to become leaders in their fields. The department has state-of-the-art laboratory facilities with high-speed internet connection and Wi-Fi connectivity.
To become a centre of excellence in computer science with strong research and teaching environment that adapts swiftly to the real world challenges of the current era.
Graduates can
PEO1: Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
PEO2: Conduct cutting edge research and develop solutions on problems of social relevance.
PEO3: Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.
PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and anengineering specialization to the solution of complex engineering problems.
PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, naturalsciences, and engineering sciences.
PO3: Design/development of solutions: Design solutions for complex engineering problems and design system componentsor processes that meet the specified needs with appropriate consideration for the publichealth and safety, and the cultural, societal, and environmental considerations.
PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design ofexperiments, analysis and interpretation of data, and synthesis of the information toprovide valid conclusions.
PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modem engineeringand IT tools including prediction and modeling to complex engineering activities with anunderstanding of the limitations.
PO6: 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 theprofessional engineering practice.
PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal andenvironmental contexts, and demonstrate the knowledge of, and need for sustainabledevelopment.
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities andnorms of the engineering practice.
PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10: Communication: Communicate effectively on complex engineering activities with the engineeringcommunity and with society at large, such as, being able to comprehend and writeeffective reports and design documentation, make effective presentations, and give andreceive clear instructions.
PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and managementprinciples and apply these to one’s own work, as a member and leader in a team, tomanage projects and in multidisciplinary environments.
PO12: 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.
The Students will be able to
PSO1: Exhibit design and programming skills to build and automate business solutions using cutting edge technologies.
PSO2: Strong theoretical foundation leading to excellence and excitement towards research, to provide elegant solutions to complex problems.
PSO3: Ability to work effectively with various engineering fields as a team to design, build and develop system applications.
To become a centre of excellence in computer science with strong research and teaching environment that adapts swiftly to the real world challenges of the current era.
PEO1: Develop proficiency as a computer science engineer who can solve a wide range of computational problems and develop sustainably in the industry or any other work environment.
PEO2: Analyze and adapt quickly to new environments and technologies, gather new information, and work on emerging technologies to solve multidisciplinary engineering problems.
PEO3: Possess the ability to think analytically and logically to understand technical problems with computational systems for lifelong learning, to pursuing research.
PEO4: Adopt ethical practices to collaborate with team members and team leaders to build technology with cutting-edge technical solutions for computing systems
PEO5: Strongly focus on design thinking and critical analysis to create innovative products and become entrepreneurs.
PO1: An ability to independently carry out research/investigation and development work to solve practical problems.
PO2: An ability to write and present a substantial technical report/document.
PO3: Students should be able to demonstrate a degree of mastery over the area of Computer Science and Engineering.
PO4: Efficiently design, build and develop system application software for distributed and centralized computing environments in varying domains and platforms.
PO5: Understand the working of current Industry trends, the new hardware architectures, the software components, and design solutions for real-world problems by Communicating and effectively working with professionals in various engineering fields and pursuing research orientation for lifelong professional development in computer and automation arenas.
PO6: Model a computer-based automation system and design algorithms that explore the understanding of the tradeoffs involved in digital transformation.
| S.NO | NAME OF THE FACULTY | QUALIFICATION | DESIGNATION |
| 1. | Dr. GUNASEKARAN.G | M.E., Ph.D. | PROFESSOR & DEAN |
| 2. | Dr. CH. SARADA DEVI | M.Tech., Ph.D. | ASSOCIATE PROFESSOR & HEAD OF THE DEPARTMENT |
| 3. | Ms. D. REJITHA | B.Tech., M.E., (Ph.D.) | ASSISTANT PROFESSOR |
| 4. | Ms. K. CHITRA | B.E., M.E., (Ph.D.) | ASSISTANT PROFESSOR |
| 5. | Ms. E. BABY SALINI | B.E., M.E. | ASSISTANT PROFESSOR |
| 6. | Mr. S. ANANTHAKOOTHAN | B.E., M.E., (Ph.D.) | ASSISTANT PROFESSOR |
| 7. | Mr. D. SURESH | B.E., M.Tech. | ASSISTANT PROFESSOR |
| 8. | Mr. R.P SUDHAKAR | B.Tech., M.E. | ASSISTANT PROFESSOR |
| 9. | Ms. A. LYDIA JOYCE | B.E., M.E. | ASSISTANT PROFESSOR |
| 10. | Ms. T. AMALA | B.E., M.E. | ASSISTANT PROFESSOR |
| 11. | Mr. P. MANICKAVASAHAN | B.E., M.E. | ASSISTANT PROFESSOR |
| 12. | Ms. G. BRUNDHA | B.Tech., M.E. | ASSISTANT PROFESSOR |
| 13. | Mr. S. KUMARESAN | B.Tech., M.Tech. | ASSISTANT PROFESSOR |
| 14. | Ms. S. SHRI PREETHA | B.E., M.E. | ASSISTANT PROFESSOR |
| 15. | Ms. R. LAVANYA BAI | B.E., M.E. | ASSISTANT PROFESSOR |
| 16. | Mr. M. VIJAYAN | B.Tech., M.Tech. | ASSISTANT PROFESSOR |
| 17. | Ms. D. SHANMATHY | B.E., M.E. | ASSISTANT PROFESSOR |
| 18. | Ms. M. SHANMUGAPRIYA | B.E., M.E. | ASSISTANT PROFESSOR |
| 19. | Ms. U. LEELAVATHI | B.E., M.E. | ASSISTANT PROFESSOR |
| 20. | Ms. D. PUNITHA | B.E., M.E. | ASSISTANT PROFESSOR |