Department of Artificial Intelligence & Data Science

The Department of Artificial Intelligence & Data Science was established in the year 2021 with an intake of 60.

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

Artificial Intelligence will use algorithms in computers to solve the problem, whereas Data Science will involve many different methods of statistics. The primary purpose of Artificial Intelligence is to automate the process and bring autonomy to the model of data

Vision

To develop professionals in Artificial Intelligence & Data Science Engineering who are socially responsible to meet the needs of society and industries

Mission

1. To offer a strong base of knowledge through theory, hands-on lab experience, and the use of the latest technology.

2. To offer a platform for engaging with professionals from the industry

3. To inculcate social awareness through co-curricular and extracurricular activities.

Objectives & Outcomes

Program Educational Objectives(PEOs)

After successful completion of the program, the graduates will be able-

1 : To engage in lifelong learning to adapt with rapidly changing technologies in the field of Artificial Intelligence & Data Science.

2 : To enhance proficiency across multidisciplinary domains of engineering for the effective implementation of AI systems

Program Specific Outcomes(PSOs)

1 : Exhibit proficiency in programming, data science, and security, while extracting insights from the principles of Artificial Intelligence and data science

2 : Apply professional engineering practices and strategies for the design, development, implementation & enhancement in AI systems.

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 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.

Message from HOD

Welcome to the Department of Artificial Intelligence and Data Science !!

As the Head of this department, established in 2020-21, I am happy to welcome you. Our goal is to provide top-quality education and encourage innovative research in AI and data science. We want to give our students the skills and knowledge they need to succeed in today’s tech-driven world. AI and data science are changing many industries and parts of our lives. Our courses mix strong theoretical knowledge with practical applications, preparing our students to face real-world challenges and become future leaders. Our modern facilities and resources help students work on hands-on projects and cutting-edge research.
Our faculty consists of experienced educators and researchers who love their fields and are dedicated to mentoring the next generation of AI and data science professionals. They have expertise in various areas like machine learning, big data, and natural language processing, ensuring our students get a well-rounded and current education. We are proud of our diverse and vibrant community, where students, faculty, and staff collaborate to create a supportive environment that promotes learning, innovation, and personal growth. Whether you are a prospective student, or current student, we invite you to explore the opportunities in our department. Thank you for your interest in the Department of Artificial Intelligence and Data Science. We look forward to your participation and contributions to the exciting world of AI and data science.

Prof. Shilpali P. Bansu
Professor and Head,
Artificial Intelligence and Data Science Department

Department of Artificial Intelligence & Data Science

The Department of Artificial Intelligence & Data Science was established in the year 2021 with an intake of 60.

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

Artificial Intelligence will use algorithms in computers to solve the problem, whereas Data Science will involve many different methods of statistics. The primary purpose of Artificial Intelligence is to automate the process and bring autonomy to the model of data

Vision

To develop professionals in Artificial Intelligence & Data Science Engineering who are socially responsible to meet the needs of society and industries

Mission

1. To offer a strong base of knowledge through theory, hands-on lab experience, and the use of the latest technology.

2. To offer a platform for engaging with professionals from the industry

3. To inculcate social awareness through co-curricular and extracurricular activities.

Objectives & Outcomes

Program Educational Objectives(PEOs)

After successful completion of the program, the graduates will be able-

1 : To engage in lifelong learning to adapt with rapidly changing technologies in the field of Artificial Intelligence & Data Science.

2 : To enhance proficiency across multidisciplinary domains of engineering for the effective implementation of AI systems

Program Specific Outcomes(PSOs)

1 : Exhibit proficiency in programming, data science, and security, while extracting insights from the principles of Artificial Intelligence and data science

2 : Apply professional engineering practices and strategies for the design, development, implementation & enhancement in AI systems.

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 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.

Message from HOD

Prof. Shilpali P. Bansu Professor and Head, Artificial Intelligence and Data Science Department

Syllabus

Second Year

Third Year

Final Year

Faculty

Faculty Details

Mrs. Archana Haral

Dr. Jayprabha Terdale

Mr. Suresh Pingale

Dipali P. Shende

Mrs. Suriyakala

Mrs.Shilpali Bansu (HOD)

Ms. Juhi Yadav

Mrs. Bhagyashri Kulkarni

Ms. Reshma Waghmode

Laboratries

Prof. Shilpali P. Bansu
Professor and Head,
Artificial Intelligence and Data Science Department