The Department of Artificial Intelligence was established to meet the rapidly expanding demand for graduates with interdisciplinary skills for application across the whole range of intelligent systems, data-driven decision making, and automation based industries. The department focuses on building strong foundations in machine learning, deep learning, natural language processing, computer vision, and robotics.
Artificial Intelligence is arguably advancing at a faster rate than any other technology in history, transforming industries ranging from healthcare and finance to manufacturing and governance. The department aims to seek accreditation from the National Board of Accreditation (NBA) of All India Council for Technical Education (AICTE), New Delhi, as the program progresses and matures.
The program emphasizes on creative thinking, ability to critically analyze and synthesize issues for scientific observations, decision making and to solve problems, improve communication, interpersonal and other soft skills to successfully work in multidisciplinary teams. Skills are developed through a combination of both knowledge development and practice study of courses with a competence emphasis. The department provides state of the art computing facilities to the students through well equipped labs.
The labs are equipped with high-performance computing systems, GPU-enabled servers, and software platforms such as Python, TensorFlow, PyTorch, Keras, OpenCV, and other deep learning and data science frameworks. Labs are also equipped for data analytics, computer vision, and natural language processing activities. The computer center is fully air conditioned with adequate UPS backup and has internet facilities through dedicated leased lines and campus-wide wi-fi connectivity.
The department aims to build strong industry collaborations to support placements and internship opportunities for students in leading technology companies and research organizations working on artificial intelligence and machine learning. Many students are expected to pursue post graduation in prestigious institutions, building on a strong foundation laid by the department. Experts from industry and academia are invited to contribute to the enhancement of the department through guest lectures and workshops.
The department library is being equipped with prescribed and reference text books according to the syllabus, along with access to research papers, journals, and online resources in artificial intelligence and allied fields.
The program is handled by a dedicated team of qualified Professors, Associate Professors and Assistant Professors. The competency, eagerness and enthusiasm of the Faculty are reflected in quality research publications and ongoing efforts to pursue advanced research and doctoral studies in emerging areas of artificial intelligence.
The Department of Artificial Intelligence envisions Global Excellence and Local Relevance in Teaching, Technology Development, and Research. The Department offers a B.Tech program in Artificial Intelligence, with a vision to train students to become competent and motivated engineers and scientists capable of addressing real-world challenges through intelligent systems.
The undergraduate curriculum is designed to provide flexibility, enabling students to specialize in advanced areas such as machine learning, deep learning, computer vision, and natural language processing. A combination of compulsory and elective courses allows students to tailor their academic journey. With artificial intelligence being inherently interdisciplinary, students are encouraged to pursue a diverse range of interests spanning computer science, mathematics, and domain-specific applications.
The department is committed to building a dedicated faculty team and a vibrant community of students who will contribute meaningfully to the growth of artificial intelligence and its applications for the benefit of society.
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Dr. G. Rama Mohan Babu,
Head of Department, AI
To produce high potential Artificial Intelligence professionals for the society.
To pursue standards in all endeavors, with a holistic educational motive of continuous monitoring, evaluation, and improvement, aiming at the total satisfaction of the stakeholders.
| 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 predication 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 one's 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 changes. |