Artificial Intelligence and Data Science

Department of

ABOUT THE DEPARTMENT

UG – B.Tech. Artificial Intelligence and Data Science

Artificial Intelligence and Data Science Program is introduced from the Academic Year 2021-22.

DEPARTMENT
VISION & MISSION

VISION

To be a Centre of Excellence in producing excellent standards of professionals through quality
education with moral values.

MISSION

M1: To provide a conducive learning atmosphere with the state of the art infrastructural facilities
to enable our students to develop into globally competent professionals with high ethical
standards.
M2: Enabling students to get expertise in critical professional skills with data science education
in solving real world complex problems.
M3:To enable the students with essential skills for improving employability, entrepreneurship,
continuing education and research.

PROGRAMME EDUCATIONAL OBJECTIVES (PEO's)

PEO1: Graduates will have fundamental knowledge of basic sciences, mathematics, Artificial
Intelligence, data science and statistics to design and develop AI model to solve multidisciplinary problems.
PEO2: Graduates will have advanced technical skills to pursue higher studies or pioneering
research in the field of AI and Data Science to solve social and environment-related issues for the welfare of sustainable ecosystems.
PEO3: Graduates will commit to adhere ethical values, think logically, pursue lifelong learning
and collaborate in a multidisciplinary team.
PEO4: Graduates will capable to becoming an entrepreneur and exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

PROGRAMME SPECIFIC OUTCOMES (PSO)

Graduates should be
PSO 1: Capable of developing skills to address, decision making and solve social and
environmental problem with ethics and perform multidisciplinary projects in business and
governance domains with advance technologies and tools.
PSO 2: Able to apply analytic technologies to arrive at actionable foresight, Insight, hindsight
from data for solving business and engineering problems.
PSO 3: Create, select and apply the theoretical knowledge of AI and Data Science along with
practical industrial tools and techniques to forecast future events in various technological critical needs of the society.

KNOWLEDGE AND ATTITUDE PROFILE
(WK)

WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.

WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.

WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.

WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.

WK5: Knowledge, including efficient resource use, environmental impacts, wholelife cost, re- use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.

WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.

WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.

WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.

WK9: Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.

PROGRAM OUTCOMES (PO's)

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)