Department Of Artificial Intelligence (AI) & Data Science (DS)

Overview

Four year B.E. undergraduate course in Artificial Intelligence (AI) & Data Science (DS) is designed to inculcate technically sound knowledge in advanced learning systems that are based on algorithms of Artificial Intelligence and Data Science. AI is changing the way we work and live. AI is already creating tremendous amounts of value into the software industry and in sectors such as retail, travel, transportation, automotive, materials, manufacturing and so on. Understanding AI and knowing how to create AI powered applications gives you an edge in your career.

AI is about teaching the machines to learn, act and think as humans. It is the application of computing to solve problems in an intelligent way using algorithms. AI systems typically demonstrate behaviours associated with human intelligence such as planning, learning, reasoning, problem-solving, knowledge representation, perception, psychology, manipulation, social intelligence and creativity.

Data Science is the superset of Artificial Intelligence, Machine Learning and Deep Learning. The study about the data will enable the developer to mine data and find unexplored features or patterns in the data. This will enhance the decision making more accurate and error free. Welcome to the ocean of Data

Vision

To be a centre of excellence in Artificial Intelligence and Data Science with quality education and research, responsive to the needs of industry and society.

Mission

To achieve academic excellence through innovative teaching-learning practice.

To inculcate the spirit of innovation, creativity and research.

To enhance employability through skill development and industry-institute interaction.

To develop professionals with ethical values and social responsibilities.

Program Educational Objectives (PEO)

Graduates will be

1

PEO1: Competent professionals with knowledge of Computer Science & Engineering to pursue variety of careers and higher education.
2

PEO2: Proficient in designing innovative solutions to real life problems that are technically sound, economically viable and socially acceptable.
3

PEO3: Capable of working in teams, adapting to new technologies and upgrading skills required to serve the society with ethical values.

Programme Specific Outcomes (PSO)

1

PSO1: Hardware and hardware-software co-design: Ability to identify, design, simulate, analyse and develop AI and DS models, using modern engineering tools and programming languages.
2

PSO2: Domain specific skills: Ability to work in the field of AI Engineer, Data Analyst, Data Scientist, Business Analyst, Product Analyst, Research Scientist and Robotics Professional.

Programme Outcome (PO)

Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization for the solution of complex engineering problems.

Identify, formulate, review research literature and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

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.

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.

Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

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.

Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development.

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.

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.

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.

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.