Vision and Mission of the Department


Vision

To achieve excellence in Computer Science and Engineering education by nurturing innovation, research, and ethical professionals capable of addressing global challenges.

Mission

  1. Provide a strong foundation in core and emerging technologies while promoting research, innovation, and entrepreneurship
  2. Enhance industry readiness through practical exposure, collaborations, and skill development
  3. Develop professional ethics, leadership, teamwork, and encourage continuous learning to adapt to technological advancements

Programme Educational Objectives (PEOs)

PEO 1: Graduates will apply fundamental knowledge of computer science, mathematics, and engineering principles to design and develop efficient computing solutions.

PEO 2: Graduates will establish successful careers in the IT industry or pursue higher education, research, and entrepreneurship in advanced areas of computer science.

PEO 3: Graduates will analyse complex problems and develop innovative, scalable, and sustainable solutions using modern tools and technologies.

PEO 4: Graduates will demonstrate professional ethics, cybersecurity awareness, and a commitment to societal needs while developing responsible computing solutions.

PEO 5:Graduates will engage in continuous learning and adapt to evolving technologies, tools, and interdisciplinary environments.

Programme Outcomes (POs)

PO1: Engineering Knowledge
Apply knowledge of mathematics, science, engineering fundamentals, and computer science to solve complex computing problems.

PO2: Problem Analysis
Identify, formulate, and analyze complex engineering problems using principles of computing, algorithms, and data structures.

PO3: Design/Development of Solutions
Design and develop efficient, scalable, and secure software systems to meet specified needs with appropriate consideration for public health, safety, and societal factors.

PO4: Conduct Investigations of Complex Problems
Use research-based knowledge and methods, including experiments, data analysis, and interpretation, to provide valid conclusions.

PO5: Modern Tool Usage
Select and apply appropriate modern computing tools, techniques, and frameworks (such as AI/ML, cloud computing, and data analytics) with an understanding of their limitations.

PO6: The Engineer and Society
Apply reasoning informed by societal, legal, and ethical considerations in the development and deployment of computing solutions.

PO7: Environment and Sustainability
Understand the impact of computing solutions in societal and environmental contexts and promote sustainable development.

PO8: Ethics
Apply ethical principles and commit to professional ethics, responsibilities, and norms in computing practices.

PO9: Individual and Team Work
Function effectively as an individual and as a member or leader in multidisciplinary teams.

PO10: Communication
Communicate effectively with the engineering community and society through reports, presentations, and documentation.

PO11: Project Management and Finance
Demonstrate knowledge of project management principles and apply them to manage projects in multidisciplinary environments.

PO12: Life-long Learning
Recognize the need for and engage in independent and life-long learning to keep pace with technological advancements.

Programme Specific Outcomes (PSOs)

PSO1: Develop intelligent and data-driven solutions using Artificial Intelligence, Machine Learning, and Data Science techniques.

PSO2: Design, process, and manage large-scale data; build, optimize, and deploy predictive and deep learning models using modern tools.

PSO3:Apply ethical practices, data security, and scalable computing technologies such as cloud platforms to deliver reliable real-world solutions.