Artificial Intelligence & Data Science

The Artificial Intelligence and Data Science Department (AI and DS) was established in july 2020 with the intake capacity of 60 seats. It was set up to equip students with the knowledge and skills to harness the power of AI and data analytics. The department comprises highly qualified faculty members with postgraduate degrees from reputed institutions. It offers a multidisciplinary curriculum that blends computer science, mathematics, and domain-specific applications, preparing students for careers in the rapidly evolving tech landscape.

Artificial Intelligence and Data Science is an interdisciplinary branch of science, engineering and technology creating a complete ecosystem and a paradigm shift in virtually every sector of the technical industry, academics and research. Artificial Intelligence and Data Science is the future of technology which are changing the world at very high pace.

The main objectives of this course is to train students with the next age of Intelligence and analytics generated by machines, influencing nearly every facet of our lives to help improve efficiencies and augment human capabilities, influencing consumer products with significant breakthroughs in healthcare, manufacturing, finance and retail industries. The department aims to develop the next generation of AI and data science professionals who can drive technological advancements and contribute to society.

Vision

To produce high standards of quality-education by using the latest tools, nurturing collaborative culture and disseminating customer oriented innovations to relevant areas of academic and industry towards serving the greater cause of society.

Mission

• To make professionals who are skilled in the area of Artificial Intelligence and Data Science.
• To improve quality and value based education and contribute towards the innovation of computing in current systems, Data Science to raise satisfaction level of all stakeholders.
• Our effort is to apply new advancements and developments in high performance computing in both hardware and software in latest industry standards.

Artificial Intelligence & Data Science

AIDS LAB1

The Artificial Intelligence and Data Science department has Hi-Tech lab which provides extensive computing programs. This includes icore 3 -8GB RAM as processor along with Ubuntu 2.0 Operating System for developing C programming, Object Oriented programs and Python programming exclusively for First year curriculum.

AIDS LAB 2:

Hi-tech Lab which includes icore 3 -8GB RAM as processor along with Ubuntu 2.0 Operating System for developing C programming, Object Oriented programs and Python programming exclusively for First year curriculum.

AIDS LAB 3:

The Artificial Intelligence and Data Science department has Hi-Tech Laboratory for developing programs. This lab is designed and maintained based on the curriculum.

LABORATORIES

• GE3171 - Problem Solving and Python Programming Laboratory.
• AD3271 - Data Structures Design Laboratory.
• AD3381 - Database Design and Management Laboratory.
• AD3311 - Artificial Intelligence Laboratory.
• AD3351 - Design and Analysis of Algorithms Laboratory.
• AD3301 - Data Exploration and Visualization Laboratory.
• AL3391 - Artificial Intelligence Laboratory.
• AD3461 - Machine Learning Laboratory.
• AL3452 - Operating Systems Laboratory.
• CS3591 - Computer Networks Laboratory.
• AD3411 - Data Science and Analytics Laboratory.
• AD3511 - Deep Learning Laboratory.
• CS3691 - Embedded Systems and IoT.

Library Details Artificial Intelligence & Data Science

The AI&DS Department Library is the primary resource for study and teaching and is an outstanding means of learning, catering to the ever-growing and uncompromising information and intellectual requirements of the students and the faculties.

Library comprises comprehensive collection of latest as well as old volumes, books, journals, and newsclippings on day to day development in the AI field as well as environment, science and technology and CD and Video Cassettes under various titles.

ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

❖ Provide graduates with the proficiency to utilize 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.

❖ Enrich graduates with necessary 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.

❖ Enable graduates to think logically, pursue lifelong learning, and collaborate with an ethical attitude in a multidisciplinary team.

❖ Enable graduates to design and model AI-based solutions to critical problem domains in the real world.

❖ Enrich the innovative thoughts and creative ideas of graduates for effective contribution towards economy building.

PROGRAM SPECIFIC OUTCOMES (PSOs)

At the end of the program students will be able to

❖ Evolve AI-based efficient domain-specific processes for effective decision making in several domains such as business and governance.

❖ Arrive at actionable insights (foresight, insight, hindsight) from data for solving business and engineering problems.

❖ Create, select, and apply 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 capable of coordinating complex projects.

❖ Graduates should be able to Carry out fundamental research to cater to the critical needs of society through cutting-edge technologies of AI.

PROGRAM OUTCOMES

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 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 contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.

❖ Environment and sustainability :Understand the impact of 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.

Course Outcomes

COURSE OUTCOMES (POs)

• Course Outcome 2021