Bachelor of Technology in Artificial Intelligence and Data Science is a 4-year undergraduate degree program, which is offered under the Engineering stream. Artificial Intelligence and Data Science programs, which are a vital component of a number of real-world applications, are prepared for the intelligent analysis of students.
In the graduate program in Artificial Intelligence, students are taught languages that are understood by computers or machines that enable people to engage with them to accomplish certain functionality. Some of the most prevalent machine languages taught to B. Tech students are the languages such as JAVA, Prolog, Lisp, R, and Python. With this course, students acquire disciplinary skills in areas such as stats, IT, machine learning and logic, data researchers, and employment chances in healthcare, commerce, e-commerce, social networking firms, climatology, biotechnology, genetics, and more.
To become Centre of Excellence in Artificial Intelligence & Data Science and to produce industry ready Machine Learning Engineers and Data Scientist to meet the challenges of IT industry.
|M1||To train the faculty in the area of Artificial Intelligence, Machine Learning, Deep Learning and Data Science and to make them expert in these areas.|
|M2||To educate students with the fundamental principles of Modern Computer Science.|
|M3||To train students with strong academic and technical skill sets in addressing the emerging challenges with a global perspective|
|M4||To provide innovation and research with the latest computer infrastructure|
|PO1||Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.|
|PO2||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.|
|PO3||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.|
|PO4||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.|
|PO5||Modern tool usage: 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.|
|PO6||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.|
|PO7||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.|
|PO8||Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.|
|PO9||Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.|
|PO10||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.|
|PO11||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.|
|PO12||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.|
|PSO-1||Understand, analyze and develop essential proficiency in the areas related to data science and artificial intelligence in terms of underlying statistical and computational principles and apply the knowledge to solve practical problems|
|PSO-2||Ability to implement Artificial Intelligence and data science techniques such as search algorithms, neural networks, machine learning, and data analytics for solving a problem and designing novel algorithms for successful career and entrepreneurship|
|PSO-3||Use modern tools and techniques in the area of Artificial Intelligence& Data Sciences.|
|PEO-1||To provide basic knowledge and skills in the field of Artificial Intelligence and Data Science.|
|PEO-2||Capable to quickly adapt to new technology in the field of Big Data, assimilate new information, and solve real world problems.|
|PEO-3||To pursue applied research in the advance field of Artificial Intelligence and Data Science and be committed to life-long learning activities.|
Programming refers to a technological process for telling a computer which tasks to perform in order to solve problems. You can think of programming as collaboration between humans and computers, in which humans create instructions for a computer to follow (code) in a language computers can understand.
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This short course is designed for students who plan to learn about common data structures with efficient algorithms, solve LeetCode problems, and know state- of-the-art information techniques. The achievements of Algorithms Lab are listed below:
|S.NO||NAME OF THE FACULTY||QUALIFICATION||DISIGNATION|
|1||Dr.E V N Jyothi||Ph.D||ASSOCIATE PROFESSOR|
|2||Mr.K.Sai Susheel||MTECH||ASSISTANT PROFESSOR|
|4||Mr.G.Subba Rao||MTECH||ASSISTANT PROFESSOR|
|6||Mr.CH.Suresh Babu||MTECH||ASSISTANT PROFESSOR|
|8||Mr.S.Sundara Rajan||MTECH||ASSISTANT PROFESSOR|
|9||Mr.K.Mastan Rao||MTECH||ASSISTANT PROFESSOR|
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