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Bachelor Of Technology in Artificial Intelligence and Machine Learning - B.Tech (AIML)
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Vision
To produce socially responsible technocrats, researchers, and entrepreneurs in AI & ML through excellence in education and research.
Mission
M1: Produce socially responsible professionals in AI & ML.
M2: Collaborate with industry for novel research and development.
M3: Equip students with the knowledge and skills needed to meet global societal challenges.
Program Educational Objectives (PEOs)
PEO1: Graduates will excel in AI & ML by applying their skills to real-world engineering challenges
PEO2: Graduates will adapt to new technologies and advance professionally.
PEO3: Graduates will manage resources and pursue careers with integrity and social responsibility.
Program Outcomes (POs) & Program-Specific Outcomes (PSOs)
Engineering knowledge: Apply mathematics, science, and engineering principles to solve complex problems.
Problem analysis: Analyze and formulate solutions to engineering problems using fundamental principles.
Design solutions: Design systems and processes that address complex problems, considering health, safety, and societal impacts.
Investigation: Use research methods, including experiments and data analysis, to draw valid conclusions.
Modern tool usage: Apply appropriate tools, techniques, and IT resources to engineering activities, recognizing their limitations.
Engineer and society: Assess the societal, legal, and cultural impacts of engineering practices and responsibilities.
PSO1: Understand AI & ML algorithms in fields like predictive mining and computer vision..
PSO2: Investigate research problems and find optimal solutions.
PSO3: Recognize industry trends in AI & ML and acquire necessary skills.
PSO4: Develop entrepreneurial skills and promote experiential learning in AI & ML.
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