The department started offering B.Tech. Program in Computer Science & Engineering in 2016 with an initial intake of 60 students and subsequently raised to 120. The department is proud to have a record of good placement for the last 05 years. The department also offers two M.Tech. programs, one in Computer Science & Engineering with Artificial Intelligence & Data Science and the other in Computer Science & Engineering with Artificial Intelligence & Machine Learning.
The faculty of the department has specialized areas for advanced studies and research in Distributed Computing, Software Engineering, Computer Networks, Database, and Data Mining, Natural Language Processing, Information, and Cyber Security, and Image Processing.
The department is well equipped with state-of-the-art laboratories in all major domains of Computer Engineering and Information Technology with excellent intranet, servers, hardware, and software support.
Vision
To address societal needs and global industry challenges in the field of Computer and IT with state-of-art education and research.
Mission
M1: To create a platform for education, research, and development by providing sound theoretical knowledge and practical skills in Computer Engineering and Information Technology.
M2: To produce motivated professional technocrats capable of generating solutions for industry and society.
M3: To develop the ability to work ethically at individual and team levels and be responsive to socio-economic needs.
Program Education Objectives (PEOs):
PEO-1: Students will have successful careers in the field of computer science and allied sectors as an innovative engineers.
PEO-2: Students will continue to learn and advance their careers through participation in professional activities, attainment of professional certification, and seeking advanced studies.
PEO-3: Students will be able to demonstrate a commitment to life-long learning.
PEO-4: Students will be ready to serve society in any manner and become responsible and aware citizens.
PEO-5: Establishing students in a leadership role in any field.
Program Outcomes (POs) :
PO-1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO-2: Problem Analysis: Identity, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
PO-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 public health and safety, and cultural, societal, and environmental considerations.
PO-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.
PO-5: 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.
PO-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.
PO-7: Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO-8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO-9: Individual and Team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-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.
PO-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.
PO-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.
Program Specific outcomes (PSOs)of the UG program are:
PSO-1: Ability to apply and analyze computational concepts in the areas related to algorithms, machine learning, cloud computing, web designing, and web services.
PSO-2: Ability to apply standard practices and methodologies in software development and project management.
PSO-3: Ability to employ fundamental concepts and emerging technologies for innovative research activities, carrier opportunities & zeal for higher studies.
LABORATORY DETAILS
Computer Science & Engineering Department, IE, DSMNRU Lucknow has laboratories in the following specializations. These laboratories are well-equipped to cater to the academic and research requirements of UG students.
- Distributed Computing Lab
- Computer Networks Lab
- Compiler Design Lab
- Automata Lab
- Project Lab
- Software Engineering Lab
- Computer Graphics Lab
- Object Oriented Programming Lab
- Operating System Lab
- Data Structure Lab
- DBMS Lab
- C Programming Lab
- Python Programming Lab
Faculty Profile:
Mr. Varun Kumar
Assistant Professor ( Head of Department )
MTech.( Computer Science and Engineering )
Indian Institute of Technology (Indian School of Mines), Dhanbad)
B.Tech. ( Computer Science and Engineering )
Uttar Pradesh Technical University, Lucknow
Email: varunkumar121994@gmail.com
Research Interest: Artificial Intelligence, Operating Systems, Algorithms&Data Structures, Database
Mr. Vijay Kumar
Assistant Professor
M. Tech. ( Computer Science and Engineering )
Kamla Nehru Institute of Technology, Sultanpur.
B.Tech. ( Computer Science and Engineering )
Integral University, Lucknow
Email: vijaykumar5391@gmail.com
Research Interest: Parallel Processing, Data Science, and Machine Learning.
Ms. Vandana Kumari
Assistant Professor
M. Tech. ( Computer Science and Engineering )
N.I.T. Delhi
B.Tech. ( Computer Science and Engineering )
BCE Bhagalpur.
Email: vandnasinha82@gmail.com
Research Interest : Migration form relational database (MySQL) to NoSQL (MongoDB) database
Programming language: C, C++, SQL, Python
Ms. Amrita Yadav
Assistant Professor
M. Tech. ( Computer Science and Engineering )
Rajasthan Technical University, Kota
B.Tech. ( Computer Science and Engineering )
Rajasthan Technical University, Kota
Email: amrita.yadav26@gmail.com
Research Interest: Artificial Intelligence, Networks, Algorithms and Data Structures, Database
Mr. Ajit Shukla
Assistant Professor
M. Tech. ( Software Engineering )
M.N.N.I.T Allahabad, Prayagray.
B.Tech. ( Computer Science and Engineering )
Northern India Engg College(N.I.E.C), Lucknow
Email: ajit11shuklaiet@gmail.com
Research Interest: Algorithm and Data Structure, Computer Network., Software Engg