Samitrr Nithin P
Short Bio:
Samitrr is full of energy. He is eager to take part in class debates. He ties academic principles to real-world experiences and maintains a lively classroom environment. He is focused and knows what he wants to do in the future.
College Info:
Amrita Vishwa Vidyapeetham is a multi-disciplinary, research-intensive, private university, educating a vibrant student population of over 24,000 by 1700+ strong faculty. Accredited with the highest possible ‘A++’ grade by NAAC, Amrita offers more than 250 UG, PG, and Ph.D. programs in Engineering, Management, and Medical Sciences including Ayurveda, Life Sciences, Physical Sciences, Agriculture Sciences, Arts & Humanities, and Social & Behavioral Sciences. With seven campuses at Amaravati, Amritapuri, Bengaluru, Chennai, Coimbatore, Kochi, and Mysuru and a new upcoming campus at NCR Delhi (Faridabad) and spread over 1200+ acres with 100 lacs square feet of built-up space, Amrita is one of India’s top-ranked private university.
Course Info:
The department offers B.Tech in Computer Science and Engineering. Regular interaction with software companies has helped the department in maintaining its syllabus abreast with technology and industrial standards. The rigorous learning environment has helped make students job-ready.
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 and 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.