EMERGING TECHNOLOGIES
COMPUTER SCIENCE & ENGINEERING (AI & ML)

Overview

Department Highlights – Computer Science & Engineering (Artificial Intelligence & Machine Learning)

The Department of Computer Science & Engineering (Artificial Intelligence & Machine Learning) is committed to developing skilled professionals equipped with expertise in Artificial Intelligence, Machine Learning, Cloud Computing, and emerging technologies. The department provides a perfect blend of academic excellence, research, innovation, and industry-oriented learning to prepare students for the rapidly evolving technology landscape.

Key Features

  • Experienced and Research-Oriented Faculty with patents, publications in reputed international journals, conferences, and funded research contributions.
  • Industry-Aligned Curriculum covering Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Computer Vision, Natural Language Processing, Cloud Computing, and Generative AI.
  • State-of-the-Art Computing Laboratories equipped with modern software tools, open-source technologies, and GPU-enabled systems for AI/ML experimentation.
  • Project-Based and Experiential Learning through real-world problem solving, case studies, capstone projects, and interdisciplinary innovation.
  • AI & ML Development Environment with hands-on exposure to Python, TensorFlow, PyTorch, Scikit-learn, Jupyter Notebook, Google Colab, and cloud platforms.
  • Industry Internships and Live Projects in collaboration with leading organizations to bridge the gap between academia and industry.
  • ICT-Enabled Teaching-Learning Practices utilizing NPTEL, SWAYAM, MOOCs, virtual laboratories, coding platforms, and online assessment tools.
  • Innovation, Research, and Entrepreneurship encouraged through hackathons, research publications, patents, startup initiatives, and innovation challenges.
  • Professional Society Activities through ACM, CSI, IEEE, ISTE, and AI/ML technical clubs to enhance technical, leadership, and collaborative skills.
  • Excellent Career Opportunities with dedicated placement training, coding competitions, aptitude development, and strong industry connections leading to placements in leading IT, AI, and product-based companies.
  • Continuous Skill Enhancement through expert talks, workshops, certification programs, industrial visits, coding contests, and technical events in emerging technologies.

From The HoD's Desk

Dear Students, Faculty, Staff, and Visitors,

I am pleased to welcome you all to the Department Of Emerging Technologies and I extend my warmest greetings to you all. True to our name, we represent the cutting edge of the 21st century. With specialized branches of CSE in Artificial Intelligence and  Machine Learning, we are dedicated to continually enhancing the skill sets of our students. Through carefully designed programs and practical experiences, we ensure that our students are well-prepared to excel in their prospective professional journeys. At our department, we strive to integrate quality education with a focus on upcoming technologies, essential for placing competent students in the IT industry. Providing guidance and support, we aim to shape our students for success. But when we talk about education it also comprises extracurricular activities so, beyond academics, we recognized the importance of extracurricular activities in building confidence and preparing students for a bright future. Our department hosts frequent events such as Smart India Hackathon”, CSI Chapter and Hack With India, that contribute to our integrated development program. In conclusion, we also focus on nurturing students socially. I emphasize my role in transforming students into both technically and socially competent individuals, ready to open doors to success and a promising future. I invite all of you to collaborate with us in shaping tomorrow’s world with today’s youth. They will lead us to technological advancements to the greatest extent.

Have a nice day!

Best regards,

Dr. Animesh Tayal
Head, Department of CSE(AI&ML)
hodcsecm@sbjit.edu.in
Mobile No:- 8149922353

Vision & Mission CSE (AI & ML)

Vision

Become an excellent center for Emerging Technologies in Computer Science to create competent professionals.

Mission

  1. Impart quality education in order to enhance employability and ensure quality teaching-learning process for developing competent professionals with ethics.
  2. Develop advanced technical and professional skills to capture entrepreneurship opportunities in new era of technologies.
  3. Establish the linkages with industries and academia to understand and fulfil the needs of rapidly changing industries and for betterment of society.

PEO's PO's and PSO's CSE (AI & ML)

PO's

Engineering Graduate will be able to:

  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 the 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.

PEO's

Program Educational Objectives(PEOs)

PEO 1 :
Have an ability to adapt to a rapidly changing environment by having learned and applied cutting-edge skills in emerging technologies.
PEO 2:
Build a strong foundation in the field of artificial intelligence and machine learning to contribute significantly in the area of innovations and research.
PEO 3:
Have strong work ethics, professional attitude, team spirit, leadership, and enterprising skills to serve industry and society.

PSO's

Program Specific Outcomes(PSO’s)

PSO1. Ability to apply the knowledge of Computer Science with a focus on Artificial Intelligence and Machine Learning to solve industry and societal problems.
PSO2. Ability to choose or develop efficient solution in Artificial Intelligence and Machine Learning domain.