About Department of AIDS

The Department of Artificial Intelligence & Data Science (AI&DS,) a beacon of innovation and excellence since its inception in 2022. Accredited by the All India Council for Technical Education (AICTE), AI&DS four-year undergraduate program is meticulously designed to catapult you into the forefront of AI and Data Science.

Key Features

  • Hands-On Learning: Emphasis on practical, hands-on experience alongside theoretical knowledge.
  • Activity-Based Learning (ABL): The curriculum is designed to encourage active, experiential learning.
  • Cutting-Edge Curriculum: Our curriculum is constantly updated to include the latest trends and technologies in AI and Data Science.
  • Research Opportunities: Students are encouraged to engage in research projects under the guidance of our faculty.
  • Industry Collaboration: Strong ties with the industry to provide internships, workshops, and guest lectures.

Overview

Vision

To become an integrative department through creativity and innovation in developing systems with Artificial Intelligence and Data Science to serve society.


Mission

  • Engage collaborative activities with the industry to produce industry-ready and future-ready talent.
  • Foster the spirit of lifelong learning in students through practical and social exposure beyond the classroom.
  • Provide multi-disciplinary research and innovation driven academic environments.
  • Practice and instill the highest standards of professional ethics, transparency and accountability at all levels.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

Graduates can
  • Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
  • Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
  • Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
  • Design and model AI based solutions to critical problem domains in the real world.
  • Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

PROGRAM OUTCOMES (POs)

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • 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.
  • 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.
  • 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.

PROGRAM SPECIFIC OUTCOMES (PSOs)

On successful completion of the Artificial Intelligence and Data Science Degree programme, the Graduates shall exhibit the following:

Graduates should be able to:

  • Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
  • Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems.
  • Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.
  • Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.
  • Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.
AC 2024-2025 (Even)
AC 2024-2025 (Odd)
BOS Members
Meeting - I
Meeting II
R 2024
R 2021
SEM III
SEM IV
Faculty
Library
FP 2024-2025
SP 2024-2025
FA 2024-2025
FA 2023-2024
SA 2024-2025
EO 2024-2025
IN 2024-2025
J 2024-2025
J Report
BC 2024-2025
MOU

Laboratories

  • Basic Programming

  • Cloud-Computing Lab

  • Data Structures

  • Networks Lab

  • Operating System