B.E.
B.E. in Artificial Intelligence and Data Science
Approved Intake
60
Duration
4 Years
About the Programme
The department of Artificial Intelligence and Data Science (AI & DS) was established in 2021 with an objective of producing high quality professionals to meet the demands of the emerging field of Artificial Intelligence and Data Science. The department has highly qualified and competent faculty members committed to innovative teaching learning and quality research. The department is equipped with state-of-the-art laboratories and classrooms that meets the requirement of curriculum, innovation and research. Collaboration with industries has made a significant impact on the curriculum, computing infrastructure, teaching & learning and research. Department of AI & DS utilizes innovative learning methods including project-based, simulation- based and skill-based learning. This ensures students learn the most relevant and up- to-date challenges in the field of Artificial Intelligence, Machine Learning and Data Science. Further department frequently Conducts technical events like: seminars, workshops, hackathons etc., to allow students to gain critical skill sets in AI and DS. Curriculum and the teaching learning process ensure that the students demonstrate technical competence, ethical reasoning, creativity in identification & formulation of the problems and develop solutions by using appropriate tools & techniques. The department focuses on the application of Artificial Intelligence, Data Analysis, Machine Learning, and various Statistical techniques to extract insights, hidden talent of young minds and a supportive system for sustainable socio-economic impact. Department has established technical clubs/ professional student chapters to provide collaborative learning platform for the students. Echo system has been built to initiate start-ups/Innovation at the department level along with the mentorship program. Such activities of the department leads to high profile placements, motivation to become an entrepreneur, and encouragement for higher learning.
Vision
To build strong technical environment and enhance problem solving abilities in the domain of Artificial Intelligence and Data Science to generate professionals who are capable of handling social and technical problems
Mission
To facilitate students with latest tools and techniques by providing professionally committed faculty and staff To develop ethical values, leadership and research capabilities in students to face the global challenges To establish state of the art laboratories, MOU with leading institutions and industries in order to promote research and innovation activities in Artificial Intelligence and Data Science domain among students.
Programme Educational Objectives (PEOs)
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1
PEO1: Excel with professional skills to become data science leaders, AI research scientists, or entrepreneur
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2
PEO2: Be aware of the development in the field of Artificial intelligence and data science, enhance knowledge through research or pursue graduate studies
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3
PEO3: Will engage in life-long earning, work effectively in multidisciplinary teams with social awareness and responsibilities
Programme Outcomes (POs)
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)
Programme Specific Outcomes (PSOs)
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1
PSO1: Understand the principles, and architecture of computers, concepts of intelligent systems, and data analytic technologies
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2
PSO2: Apply the concepts of AI and data science in modelling and design of intelligent systems
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3
PSO3: Apply appropriate AI and DS tools and techniques to develop software and hardware solutions for sustainable Socio-Economic applications like Healthcare, Education, Agriculture, Environment, Industry, etc.
Scheme & Syllabus
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