The Department of Computer Science & Engineering is a lively and invigorating academic center for higher education, research, and innovation in key areas of computing. The vision of the department is to be a center of excellence that provides high quality education to develop future leaders in all aspects of computing including education and entrepreneurship, contributes practically relevant and cutting edge research, and catalyzes IT entrepreneurship.

The driving mission for the department is to:

Conduct high quality education and research in scientific, technological, engineering, mathematical, entrepreneurial, human, educational, and interdisciplinary aspects of computing. Graduate world-class computing professionals at the bachelor’s and master’s levels with imagination and competence to identify and solve significant problems in industry and society through technology and innovation.

Engage in academic leadership activities such as development of academic and computational resources and organization of faculty development programs, conferences, workshops etc.

The department attracts talented students and faculty from all over India. The main Endeavour of the department is to develop students’ technical competence as well as creative and critical thinking ability. The department provides the students with a platform to develop insight to face real life challenges and to come out with innovative technical solutions. They are frequently evaluated with multiple assignments, hands on exercises, mini projects, surprise tests and presentations as they progress through the different programs in the department. The department uses a diversified set of pedagogical approaches that includes interactive lectures and practical hands-on exercise etc.

The team has dedicated and well qualified faculty members to facilitate high standard of teaching & learning process. These faculty members are also involved in research work attaining research publications in repute international conferences and journals.

The department of computer science & engineering will strive to become an excellent center for research and innovation in various knowledge domains within computer science and between computer science and other disciplines with focus on empowering human potential to deliver service to science and society.

1. To nurture an excellent learning environment and creating opportunities for an individual to emerge as a technocrat who will be able to analyses complex engineering problems in society and provide innovative and fair solutions applying the knowledge of contemporary technologies and tools for the ease of its social acceptance at large.
2. To promote an educational environment of high moral values and discipline where all students can learn and contribute towards the growth of self and their society
3. To ensure all students progress through regular practice and implementation of new think ideas and creativity with an innovative approach.

1. To produce computer science graduate engineers with an ability to comprehend, understand and analyze real life problems for providing sustainable solutions teams in the light of disruptive technologies.
2. To inculcate life-long learning skills in graduates preparing them for work in changing environments and multidisciplinary teams in order to enhance their capabilities being globally employable.
3. To make the graduates adaptable to changing career opportunities who have the potential to excel in industry/ public sector/ higher studies or entrepreneurship exhibiting global competitiveness.

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 modeling 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

1. Students should acquire proficiency in developing and implementing efficient solutions using emerging technologies, platforms and Free and Open-Source Software (FOSS).
2. Enabling them to gain critical understanding of hardware and software tools catering to the contemporary needs of IT industry.
3. Graduates will possess a multidisciplinary approach, a professional mindset and ethics, communication and teamwork skills, and the ability to address social challenges through employment, higher education, and research.

Mr. SATENDRA KUMAR
HEAD OF DEPARTMENT

Prasad Institute of Technology Jaunpur (PIT Jaunpur) is located near the banks of river Gomati and the city of Jaunpur has historical importance. The Department of Computer Science and Engineering at PIT Jaunpur was formed in 2002. The department focused on Information Technology and is currently offering the degree of Bachelor of Technology (B.Tech.) in Computer Science and Engineering. The department has strong undergraduate programme, designed to create innovators and researchers.

Our students are very passionate and enthusiastic in learning. Students are given a strong foundation in CSE that includes both theoretical and experimental frameworks. The Department aims to produce quality professionals in the field of Computer Science and Engineering and strive for excellence in research and develop. Our faculty have excellent academic knowledge and assist students to be dynamic in choosing and pursuing their interest. Students are encouraged to take ICT projects such as Smart City, IoT, Robotics, Data Science, Graphics, Future Networks, Artificial Intelligence, Machine Learning, Green Technology and Grid Computing, etc.

The department provides excellent infrastructure and facilities for faculties and students to excel in teaching and to be dynamic to accept any research challenge.

Data Structure Using C Lab: Stack, Queue, Linked list, Searching and sorting algorithms are implemented using C Language.

Theory of Automata and Formal Language Lab: The Land Surveying Laboratory is established with the purpose of enabling students to practice land surveying techniques using a wide spectrum of surveying equipment.

Discrete Structure and Logic Lab: The Set theory, propositional and predicate logic concepts are implemented using Prolog Language.

Database Management System Lab: Perform simple and join queries to implement all the DDL, DML and DCL Commands using Oracle database.

Design Analysis Algorithm Lab: Searching, sorting, string matching, dynamic programming algorithms are being implemented using recursive and non-recursive functions using C.

Principle of Programming Lab: Program for Searching, sorting and making of dictionary is implemented in Standard Meta Language.

Web Technology Lab: Web page designing using HTML, JSP, XML, PHP, interaction with Apache Tomcat Server, Connectivity with databases such as MYSQL, SQL Server. Implementation of various programs using Java Swing, Java Servlet is done.

Computer Network Lab: Live demonstration of different types of servers such as RED HAT Server, DNS Server and DHCP Server is done.

Compiler Design Lab: Lexical analysis phase using LEX, syntax analysis phase using YACC and code generation is done using FLEX tool.

Data Warehouse & Data Mining Lab: Data Mining and Warehousing algorithms and concepts are implemented using Rapid Miner and WEKA tool.