B.Tech. Artificial Intelligence and Data Science Engineering Colleges in Coimbatore

About the Department

PPG Institute of Technology, one of the best engineering colleges in Coimbatore, is set to offer a collaborative B.Tech program in Artificial Intelligence and Data Science Engineering from 2022, in partnership with leading data science companies. The department is fully equipped with modern facilities, including classrooms, laboratories, and computer rooms, where students can learn from a highly qualified and experienced faculty team from diverse disciplines.

Artificial Intelligence and Data Science Engineering is a popular course among engineering aspirants, focusing on the analysis of algorithms, computation, programming languages, software engineering, computer hardware, computer networks, and problem-solving skills. This multidisciplinary course of study has roots in electrical, electronics, communication engineering, mathematics, and linguistics. Students in this program will study the design, development, and analysis of software and hardware used to meet the needs of various industries.

If you are looking for B.Tech Artificial Intelligence and Data Science colleges in Coimbatore, consider PPG Institute of Technology, one of the top engineering colleges in the region. With a focus on providing students with access to modern facilities, an experienced faculty team, and industry partnerships, this program is designed to equip students with the skills and knowledge needed to succeed in today's competitive job market.

Vision

To develop professionals who are skilled in the area of Artificial Intelligence and Data Science.

Mission

The Stated Vision of the B.Tech. Artificial Intelligence and Data Science Engineering will be achieved by,

MD1: To empower knowledge and skills of learners through innovative pedagogical practices.

MD2: To remain focused in our core and hold ourselves accountable to our stakeholders, through embedded processes of self-evaluation and continuous improvement.

MD3: To develop technical expertise through latest technologies through state-of-the- art facilities.

MD4: To achieve quality education by nurturing collaborative culture in the area of academia and industry towards serving the greater cause of society.

The graduates of B.Tech. Artificial Intelligence and Data Science Engineering will be able to,

PEO1: Demonstrate technical competence with analytical and critical thinking to understand and meet the diversified requirements of industry, academia and research.

PEO2: Exhibit technical leadership, team skills and entrepreneurship skills to provide business solutions to real world problems.

PEO3: Work in multi-disciplinary industries with social and environmental responsibility, work ethics and adaptability to address complex engineering and social problems

PEO4: Pursue lifelong learning, use cutting edge technologies and involve in applied research to design optimal solutions.

The graduates of B.Tech. Artificial Intelligence and Data Science Engineering will be able to,

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, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

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 the 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: Communicate effectively in 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 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

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.

The graduates of B.Tech. Artificial Intelligence and Data Science Engineering will be able to,

PSO1: Have proficiency in programming skills to design, develop and apply appropriate techniques, to solve complex engineering problems.

PSO2: Have knowledge to build, automate and manage business solutions using cutting edge technologies.

PSO3: Have excitement towards research in applied computer technologies.

Faculty Profile

CO-PO Mapping