Artificial Intelligence & Data Science

Program Overview:

The B.Tech program in Artificial Intelligence & Data Science is designed to equip students with a strong foundation in basic sciences, mathematics, artificial intelligence, and data science. The program aims to cultivate technical skills for research and development of disruptive solutions in the field. It emphasizes logical thinking, lifelong learning, collaboration, ethical behavior, and innovation to address real-world challenges and contribute to economic development.

VISION:

To become a centre of excellence in the realms of Artificial Intelligence and Data Science which fosters talents, cultivates research skills and promotes social responsibility.

MISSION:

Foster employability and entrepreneurial skills in AI & DS through experiential and self directed learning.

Strive towards efficient industry-institute interaction to bridge the gap between academic learning and industry needs.

Sensitize students to solve societal issues through AI techniques while inculcating values and ethics.

Train students in the state-of-the-art technologies of AI & DS.

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs) :

The Graduates will be able to

Apply the fundamental knowledge of basic sciences, mathematics, computer science, artificial intelligence, and data science to address socially significant challenges.

Collaborate within multi-disciplinary teams, convey ideas proficiently, and create top-tier solutions using the expertise acquired through continuous lifelong learning.

Exhibit ethical principles, uphold values, maintain integrity, and deliver inventive solutions throughout their professional endeavors.

Engage in advanced studies and research within the realms of Artificial Intelligence and Data Science.

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 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 modelling 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.

PROGRAMME SPECIFIC OUTCOMES (PSOs)

After the successful completion of the program, the graduates will be able to:
1. Apply the artificial knowledge in expert systems, natural language processing, speech recognition and machine vision.
2. Focus on cognitive skills that include learning, reasoning, self correction and creativity

COURSE DETAILS

The B.Tech program in Artificial Intelligence & Data Science typically covers a range of subjects, including but not limited to:

The curriculum is such that to provides students with a comprehensive understanding of both theoretical concepts and practical applications in AI and Data Science.

CAREER OPPORTUNITIES:

Graduates in Artificial Intelligence & Data Science have diverse career opportunities in various industries. Some potential career paths include:

S.NO	LABORATORY
1	Problem Solving and Python Programming Laboratory
2	C Programming Laboratory
3	Data Structures Laboratory
4	Object Oriented Programming Laboratory
5	Database Management Systems Laboratory
6	Operating Systems Laboratory
7	Object Oriented Analysis and Design Laboratory
8	Networks Laboratory
9	Internet Programming Laboratory
10	Cloud Computing Laboratory
11	Security Laboratory