Computer Science & Engineering

  • Intake : 180

  • Duration : 4 Years

Department

About The Department

Computer Science & Engineering is a fast evolving branch of Engineering with rapid advancements in the areas like Cloud Computing, Software Development, Artificial Intelligence, Deep Learning, Distributed Systems and so on., creating a huge requirement of software engineers across the globe.

Computer Science & Engineering deals with the theoretical foundations of information and computation along with practical techniques for implementation and application. Computer Science engineers can contribute as Software Developers, Hardware Engineers, Database Analysts (SQL), AI and Data SCience Engineers, System analysts or System Engineers, Security analysts, Business System Database Developer, Data Modeller, Software Quality Assurance (QA) apart from multi-disciplinary research.

Vision

Contribute dedicated, skilled, intelligent Computer Engineers to architect strong India and the world

Mission
  • To promote activities that imparts high quality technical education in core domains of Computer engineering and also interdisciplinary areas.
  • To imbibe innovative projects and research based skills using software tools to solve real time problems for building modern India and the world.
  • To create a conductive environment for lifelong learning with ethnical responsibilities to produce globally competent computer professionals and entrepreneurs.
To prepare graduates who are able to :
PEO1 : Graduates will have the expertise in analyzing real time problems and providing appropriate solutions related to Computer Science & Engineering.
PEO2 : Graduates will have the knowledge of fundamental principles and innovative technologies to succeed in higher studies, and research.
PEO3 : Graduates will continue to learn and to adapt technology developments combined with deep awareness of ethical responsibilities in profession.
PO1. Engineering knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO2. Problem analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3. Design/development of solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO4. Conduct investigations of complex problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)
PO5. Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 to WK6)
PO6. The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5 & WK7)
PO7. Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8. Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9. Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10. Project management and finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11. Life-long learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
WK1. A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
WK2. Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
WK3. A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
WK4. Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
WK5. Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
WK6. Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
WK7. Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
WK8. Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
WK9. Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.
Graduates will be able to :
PSO1 : Apply the skills of core computer science engineering, artificial intelligence, machine learning, deep learning, to solve futuristic problems.
PSO2 : Demonstrate Computer Knowledge, practical competency and innovative ideas in computer science engineering, artificial intelligence and machine learning using machine tools and technoques.
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