Vision
"To empower students through quality education in Artificial Intelligence and Data Science, so as to mould them into highly competent and ethical technocrats to serve humanity in the global scenario."
The Department of Artificial Intelligence (AI) & Data Science is established in the year 2022 – 2023, The Artificial Intelligence (AI) & Data Science Program is started with the aim to develop core competence in the emerging fields of Computer Science and Engineering and prepare students to the take up future challenges and opportunities. The program is designed to meet the current and future needs of the industry. The department has well qualified and experienced faculty members with the zeal and determination that pushes them to strive for the continuous betterment of the students. The curriculum of Artificial Intelligence (AI) & Data Science is newly designed and updated and mapped to the current IT Industry trends and requirements. Nearly every industry demands Artificial Intelligence and Data Science talent for emerging applications, example: Software and IT Industry, Banking, Finance, E-Commerce, Healthcare and Health Technology, Marketing, Energy, Education Technology, Agriculture, Manufacturing, Construction etc. Artificial Intelligence and Data Science provides different careers opportunities including: Data Scientist, Business Intelligence (BI) Developer, Research Scientist, Business Analyst, Data Architect, Machine Learning Engineer, Artificial Intelligence (AI) Architect, Artificial Intelligence (AI) Consultant and Product Manager, Computer Vision Engineer, Full Stack Engineer, Neural Network Developer, Natural Language Processing (NLP) Engineer.
"To empower students through quality education in Artificial Intelligence and Data Science, so as to mould them into highly competent and ethical technocrats to serve humanity in the global scenario."
M1 : " To impart the students the latest state of knowledge and to imbibe culture of technocrat in rapidly growing field of science & technology by building the foundation on fundamental sciences."
M2 : To enable students to provide solutions to the complex societal problems.
M2 : To meet the pressing demands of the nation in Artificial Intelligence and Data Science, and relevant areas
PEO1 : Preparation: To strive for overall personality development of students so as to nurture not only quintessential technocrats but also responsible citizens and to steer the organization towards becoming a pace setting centre of excellence.
PEO2: Core Competence: To educate students with the fundamentals of engineering sciences, basic Mechanical engineering, mechanical design and analysis to improve their overall engineering skills so that graduates will able to design mechanical systems containing functionality, aesthetics, safety, cost effectiveness and sustainability.
PEO2: Breadth: To inculcate in students professional and ethical attitude, effective communication skills, teamwork skills, multidisciplinary approach and an ability to relate engineering issues to broader social context.
PEO3: Professionalism: To inculcate the value systems & ethics, leadership and team work skills, bring holistic development of personality and to promote entrepreneurial thinking among students
PEO4: Employment avenues: As per the fast changing global trend and demand, to make the students aware and assist for offering employment in various sectors.
PEO5: Learning Environment: To promote student with an academic environment aware of excellence, leadership, written ethical codes and guidelines and the life-long learning needed for a successful professional career.
Apply the knowledge
of mathematics, science, engineering
fundamentals, and an engineering specialization to the solution of complex
engineering problems.
Identify, formulate, research literature, and analyze 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 modeling 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.
PSO1 Knowledge of Fundamentals: Graduates should demonstrate a strong understanding of the fundamental concepts, principles, and theories of Artificial Intelligence and Data Science.
PSO2 System Development: Students should be capable of integrating AI methodologies with data science practices to address complex challenges in diverse domains such as healthcare, finance, marketing, and social sciences.
Syllabus for B. Tech Artificial Intelligence (AI) & Data Science(Semester
Pattern)
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Scheme & Syllabus of B. Tech
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Syllabus for AI & DS Department |
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Syllabus Artificial Intelligence (AI) and Data Science | Click
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Syllabus Artificial Intelligence (AI) and Data Science | Click
here to download
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To become a pace-setting Centre of excellence believing in three Universal values namely Synergy, Trust, and Passion, with zeal to serve the Nation in the global scenario.
M1 : To achieve the highest standard in technical education through the state-of-the-art pedagogy and enhanced industry Institute linkages.
M2 : To inculcate the culture of research in core and emerging areas.
M3 : To strive for overall development of students so as to nurture ingenious technocrats as well as responsible citizens.
To strive for global recognition through academic excellence in Engineering & Technology
To enhance the percentage of placement
To promote students for innovation and entrepreneurship