Department of Computer Science and Engineering was established in 2001 to offer Bachelor of Technology in Computer Science and Engineering.The department maintains an excellent teaching/learning and research environment with dedicated, qualified and dynamic faculty members and well equipped laboratories.The core competencies of the department include software engineering, computer network and security, soft computing, relational database management system, operating system etc.The students of our department take up careers in various computing industries and large engineering companies, start-up companies, management companies and other government based research organizations.

Department of Computer Science and Engineering balances the practical and theoretical aspects of computer science and provide students with a background for professional employment and also to pursue further studies in the discipline.The department has always been on a high growth path and to keep pace with the current technological trends and has started Master of Technology in Computer Science and Engineering in 2004.The M.Tech  programme is designed to help graduates and working professionals enhance their professional qualifications and career prospects, imparting advanced knowledge in specialized areas of Computer Science and Engineering.

AI & ML (Artificial Intelligence & Machine Learning)

The Department of CSE AI & ML is a part of the DAV Institute of Engineering and Technology. The Department was established in 2022. We offer program leading to the Bachelor of CSE in Artificial Intelligence/Machine Learning. We are a growing department with an outstanding faculty, keeping pace with the rapid proliferation of, and advances in, computing and information technology. Our commitments to quality undergraduate teaching and strong research programs provide a solid foundation for those seeking to become well-prepared, talented, and indispensable computing professionals. Approximately 120 full-time undergraduates pursuing their degree in CSE AI & ML. The departmental faculty actively participates and provides leadership to major research centers on campus. Opportunities to pursue faculty supervised undergraduate research and project work are readily available the department makes extensive use of wideband connectivity to the commodity Internet Students and faculty have ready access to advanced computational hardware and software both through Institute resources as well as through our more specialized laboratory workstations. The Bachelor of CSE with a major in Artificial Intelligence and Machine Learning is accredited by the, All India Council for Technical Education (AICTE), a specialized accrediting body recognized by the Council for Higher Education Accreditation.

Vision:

“To be a global leader in Computer Science and Engineering, advancing the boundaries of Artificial Intelligence and Machine Learning through innovative research, transformative education, and ethical applications, shaping a future empowered by intelligent technologies.”

Mission:

M1: To foster an environment of academic excellence by delivering comprehensive, industry-aligned programs that cultivate critical thinking, creativity and practical skills in AI and ML, preparing students to become visionary leaders and problem solvers. (Excellence in Education)

M2: To develop novel algorithms and applications, nurturing technological advancement and addressing real-world challenges. (Research Innovation)

M3: To engage actively with local and global communities through outreach programs, workshops, and initiatives aimed at promoting AI and ML education (Community Engagement)

Core Values:  INNOVATION, CREATIVITY, INTEGRITY, EXCELLENCE, TRUST

Program Educational Objectives:

PEO1: To empower students with the fundamental scientific, mathematical, and engineering knowledge needed to solve computing issues and seek higher education.

PEO2: To engage students in continuous learning to stay updated with emerging technologies, trends, and advancements in AI and ML.

PEO3: To inculcate students to be capable of working collaboratively in multidisciplinary teams, demonstrating effective teamwork, leadership, and interpersonal skills.

Program Specific Outcomes

Students will be able to:

PSO1: Apply knowledge of natural language processing, computer vision, and other AI subfields to develop intelligent systems capable of understanding, interpreting, and interacting with human language and visual data.

PSO2: Apply standard practices for software project development using hands-on programming skills for analysis, design, and creation of software solutions.

PSO3: Create and maintain database for providing back-end support to AI & ML applications.

PSO4: Design networks and also aware of network security related issues.