Computer Science & Engineering (CSE)

The Department of Computer Science & Engineering, established in 2007, has emerged as a pioneering force within the institute, offering a comprehensive B.Tech. program in Computer Science & Engineering, Data Science, and Artificial Intelligence & Machine Learning. Since its inception, the department has experienced consistent growth, now standing as one of the leading departments in the institute. The department attracts students who have completed their 10+2 education, with a growing preference for pursuing B.Tech. in Computer Science & Engineering, Data Science, or Artificial Intelligence & Machine Learning for their undergraduate studies.

This attests to the increasing recognition and relevance of these fields in the contemporary academic and professional landscape. A cornerstone of the department's success lies in its infrastructure, which includes well-equipped classrooms, state-of-the-art laboratories, and an extensive library. These resources contribute to creating a conducive learning environment for students pursuing their academic and research endeavors. One of the key strengths of the Department of Computer Science & Engineering is its faculty. The department boasts a team of highly qualified faculty members who bring both academic expertise and industry experience to the table.

Their dedication to excellence in teaching and research enhances the overall educational experience for students. In addition to the standard curriculum, the department emphasizes practical, hands-on learning experiences. Training programs, conducted beyond the conventional coursework, play a pivotal role in shaping students into competent professionals. Throughout the four-year duration of their program, students receive training in a spectrum of programming languages and cutting-edge technologies. This includes but is not limited to C, C++, JAVA, Python, Data Structure, Machine Learning, Artificial Intelligence, AWS, MS Azure, and Sales- force. This comprehensive training equips students with the skills and knowledge necessary to navigate the dynamic and competitive technology landscape. The aim is to make them not only trainable and employable but also industry-ready, ensuring they can seamlessly transition into the workforce upon graduation.

As the Department of Computer Science & Engineering continues to evolve, it remains committed to providing a holistic education that prepares students for the challenges and opportunities in the rapidly advancing fields of Computer Science, Data Science, and Artificial Intelligence and Machine Learning.

Highlights

Well qualified and experienced faculty members.
Well equipped laboratory and library with online subscription of various journals.
Industry collaborations with various renowned industries.
Advanced training on various Programming Languages and Technologies.
Regular training by Industry experts on soft skills, and various technologies.
Book bank facility is available for all the students.

Courses Outcome

Course Outcomes

Quick Links

IOPs / Value-added Courses

Innovative Practices

Research and Development

HOD's Message

Since its establishment in 2007, the Department of Computer Science & Engineering has been dedicated to groom socially conscious technocrats and entrepreneurs who make meaningful contributions not only to society but also to the nation and the world.

The Department of Computer Science & Engineering committed to academics, training, research, and innovation in the field Computer Science and Engineering, Data Science and Artificial Intelligence & Machine Learning.

The department use contemporary student’s centric teaching and learning approaches and try to imbibe the best professional practices to make them ethical and socially responsible citizens to contribute to the nation and global development as its mission says.

The Department of Computer Science & Engineering offers B.Tech. program in Computer Science & Engineering, Data Science and Artificial Intelligence & Machine Learning. Our faculty members are our strength who nurture the students and makes them trainable and industry ready.

In addition to the regular course curriculum, the department also offers various beyond curriculum industries oriented programs to our student, these short term programs and trainings makes them aware about the state-of-the-art technologies and platforms.

These training programs help them to develop their minor and major projects and also help to grab the best opportunity during the placement drives.

The students are encouraged to regularly participate in various competitive coding competitions, and hackathons that increase their ability of critical thinking, and problem solving.

All these efforts make them able to apply their knowledge and skills to solve real-life problems.

The faculty members and students are also involved in cutting edge research in the area of Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Wireless Sensor Networks and other interdisciplinary areas.

The faculty members are regularly published their research contribution in research journals and well known conferences.

The department also encouraged the students to regularly organize and participate in various curricular, co-curricular and extra-curricular activities which are regularly organized through different student’s societies and clubs.

Students are also encouraged to participate in various activities which are organized by different institutions/ organizations at national or international level.

The department tries to fulfill as its mission states - To imbibe the best professional practices to make them ethical and socially responsible citizens to contribute to the nation and global development.

We invite the students to join us to achieve professional excellence and be an integral part of our journey towards societal impact and development.

Dr. M I H Ansari

Program Outcome

Engineering Graduates will be able to:

PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2: 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.
PO3: 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.
PO4: 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.
PO5: 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.
PO6: 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.
PO7: 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.
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10: 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.
PO11: Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to oneâ€Ÿs own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12: 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.