19 Apr 2024

Artificial Intelligence and Data Science Department

Global trend in technology adoption has indicated Artificial Intelligence and Data Science (AI and DS) as one of the preferred computing platform. Business models across industries are becoming more and more data driven paving the path for adoption of AI. Industry is relying on AI and DS like never before to understand their end customer and meet their needs.

Artificial Intelligence (AI) is an integrated approach which enables computer or computer controlled robots to simulate problem solving and decision making process in a predefined context. The AI solutions are highly reliable and scalable. Proximity of approach to human intelligence makes it a preferred choice. AI systems help us manage, model, and analyze complex systems.

The field of Data science (DS) is about the collection, management, analysis and interpretation of large amounts of data with a wide range of applications. This field involves many different disciplines and tools, including statistical inference, domain knowledge (expertise), Machine Learning, data visualization, experiment design, and communication.

Advent of Industry 4.0 has showcased the synergistic integration of various established faculties of knowledge and technology. AI and DS play a very important role in this context. AI and DS being interdisciplinary branch, this program will focus on creating fundamental knowledge components constituting this domain. Students aspiring to be part of this interdisciplinary domain will benefit from the opportunity to learn and explore various cutting edge technologies. Keeping pace with the ever-changing context of technology, visionary leadership of PVGCOET & GKPIM, Pune has decided to introduce a full time, four year under graduate course specializing in Artificial Intelligence and Data Sciences (AI & DS) from Academic Year 2021-2022 with the intake capacity of 60 seats. The Department will be fully functional from A.Y. 2022-2023.

Vision of the Department —
“To become a centre of excellence for education in Artificial Intelligence and Data Science with
holistic development approach”.

Mission of the department –

  • To create a research based educational ecosystem by adopting interdisciplinary and multidisciplinary approach.
  • To impart fundamental and advanced engineering knowledge to provide sustainable solutions
    to the industry and other stakeholders.
  • To nurture social and ethical values in students for the progress of society and nation.

Program Education Objectives —

  •  PEO1: Apply problem solving skills to address the societal and environmental issues.
  • PEO2: Practice Ethical AI and become Responsible Data Scientist.
  • PEO3: Embrace lifelong learning to accommodate fast paced technical world of Artificial
    Intelligence.
  • PEO4: Exhibit interpersonal and intra-personal skills to become a leader in the domain of
    AI&DS.

PROGRAM OUTCOMES
Engineering Graduate 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 practices.
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 change

Program Specific Outcomes –
AI&DS Engineering graduate will

  • PSO1: Demonstrate proficiency in collecting, cleaning, and analyzing diverse datasets using state-of the-art tools and techniques
  • PSO2: Exhibit the machine learning expertise and deep learning competency to design and train neural networks for various applications
  • PSO3: Adhere to professional standards and ethical principles in their AI and data science work, respecting data privacy, confidentiality, and intellectual property rights