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.

Prof. Sanket G.Chordiya(Head of Department)

Vision:

To achieve excellence in AI&DS through quality education, research and innovation to serve industry and society.

Mission:

To develop globally competent engineers who are skilled in the area of Artificial Intelligence & Data Science.
To make the student capable to accept the challenges of changing modern technologies.
To install professional ethics and social values that cater to the requirements of both industry and society.

Program Outcomes

PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.(WK8).
PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural,language, and learning differences
PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8).

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

AI &DS Department Course Outcomes(COs)