Artificial Intelligence & Data Science (AI&DS)

About Department

Artificial Intelligence and Data Science (AIDS) is the science and Engineering of making Intelligent Machines, especially intelligent computer Programs. AIDS is an interdisciplinary branch of science, engineering and technology creating a complete ecosystem and widely used in almost every sector of the technical industry, academics and research. Artificial Intelligence and Data Science is the future of technology which are rapidly changing the world at very high rate. The basic objectives of this course is to train students with the next age of Intelligence and analytics generated by machines, influencing the human lives to help improve efficiencies and augment human capabilities, influencing consumer products with significant breakthroughs in healthcare, manufacturing, finance and retail industries.

Pune Vidyarthi Griha’s College of Engineering and S. S. Dhamankar Institute of Management, Nashik have started this branch in the A.Y. 2021-22 with intake capacity of 60. The aims and objective of the branch is to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods of Artificial Intelligence. This course enables the students to develop their skillset to do intelligent data analysis which is a key component in the emerging Data Science careers in IT field. A major portion of AI involves Machine Learning, which trains the computer systems to understand and copy human behaviour by finding data patterns. Machine learning is the link that connects Data Science and AI. AI is the tool that helps data science get results and the solutions for specific problems. The department is emphasized on research, design and development of next generation cutting-edge technologies in the area of Artificial Intelligence and Data Analytics.

Artificial Intelligence & Data Science department of the institute is equipped with well-set six laboratories as Artificial Intelligence, Data Analytics, Machine Learning, Cloud Computing, Cyber Security and Internet of Thing (IOT). A well – structured class rooms and highly configured computer systems are provided to the students to carry out the lab experiments. A well-qualified and experience faculty members with areas of specialization are disseminated in the department to guide the students to excel in their academic.

Program Outcomes

• 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 practices.
• 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 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 Skills 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 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

• PSO1- Professional Skills-The ability to understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, networking, artificial intelligence and data science for efficient design of computer-based systems of varying complexities.
• PSO2- Problem-Solving Skills- The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.
• PSO3-Successful Career and Entrepreneurship- The ability to employ modern computer languages, environments and platforms in creating innovative career paths to be an entrepreneur and to have a zest for higher studies.

Course Outcomes