The CSE curriculum is designed to provide students with a balanced understanding of fundamental and emerging areas of computing. Key areas include programming, data structures and algorithms, database management, computer networks, operating systems, software engineering, artificial intelligence, machine learning, cloud computing, cybersecurity, and web and mobile application development.

Through project-based learning and continuous assessment, students gain opportunities to apply theoretical concepts to real-world problems and develop solutions that address industry and societal needs.

Program Educational Objectives (PEOs)

Our graduated would

PEO1 : Excel professionally in the field of Computer Science and Engineering with an aspiration of lifelong learning.

PEO2 : Pursue higher education and research in multidisciplinary domains

PEO3 : Exhibit good leadership qualities, interpersonal skills and ethical values in diversified teams and contribute to societal needs

Program Specific Outcomes (PSOs)

PSO 1 : Ability to apply mathematical models, software engineering principles and programming paradigms to solve real world problems.

PSO2 : Ability to comprehend various aspects of computer hardware, communication models and security principles for developing computing solutions.

PROGRAM OUTCOMES (POs)

Engineering Graduates will be able to:

  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 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 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.
sumithra_d_2026

HEAD OF THE PROGRAM

PROFESSOR

PhD in Image Processing

Vision

To be a renowned academic and research centre in Computer Science and allied domains, nurturing skilled women professionals.

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Mission

  1. To impart quality technical education in a conducive learning and research environment that nurtures innovation, critical thinking, and lifelong learning.
  2. To mould ethically responsible women engineers, academicians, and researchers equipped with professional competence and leadership qualities.
  3. To foster industry collaboration and community engagement, catering to the evolving needs of society while empowering women to excel in Computer science and allied domains.

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smithamolmb-cse

PROFESSOR

Ph.D in Enhancing Trust for Storage and Access in Cloud Environment

anithakumari_s_2022

PROFESSOR

M.Tech,
PhD in Cloud Computing

smithaes_cse

PROFESSOR

M.Tech,
PhD in Social Network Sentiment Analysis (Anna University)

dileep

ASSOĀ­CIATE PROFESSOR

M.Tech,
PhD in Computer Science & Engineering

Gemini_Generated_Image_ijfa4mijfa4mijfa (1)

ASSOĀ­CIATE PROFESSOR

M.E,
PhD in Computer Science & Engineering

janishaA

ASSISĀ­TANT PROFESSOR

M.Tech,
Doing PhD

diliyamkhan

ASSISĀ­TANT PROFESSOR

M.Tech,
Doing PhD

pragisha_k_cse

ASSISĀ­TANT PROFESSOR

M.Tech,
Doing PhD

pic_new

ASSISĀ­TANT PROFESSOR

M.Tech,
Doing PhD

Gisha

ASSISĀ­TANT PROFESSOR

M.Tech,
Doing PhD

anjuJ

ASSISĀ­TANT PROFESSOR

M.Tech,
Doing PhD

rehna_rs

ASSISĀ­TANT PROFESSOR

M.Tech,
Doing PhD