CSE (AI & ML)

About the Department

Artificial Intelligence (AI) is a technology which enables a machine to simulate human behaviour. Machine Learning (ML), a subset of AI, allows a machine to automatically learn from past data without explicit programming. ML algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.

RVR & JC College of Engineering offers a 4-year Under Graduate B. Tech., CSE (AI & ML) programme with an intake of 60 seats for the academic year 2021-2022, increased to 180 seats from 2022-23.

Graduates of B.Tech., in CSE (AI & ML) will acquire Computer Science & Engineering skills with expertise in Artificial Intelligence and Machine Learning algorithms to work across many domains, including medicine, finance, robotics, and business intelligence.

Vision:

To produce high potential Artificial Intelligence and Machine Learning Professionals.

Mission:

To provide a dynamic, innovative, and flexible curriculum which equips the students with AI problem-driven skills to strengthen their career and pursue higher studies.
To foster inquisitive-driven research among students and staff to reinforce domain knowledge in addressing contemporary societal issues.
To inculcate ethical values, leadership qualities, and professional behavior skills for improving the living standards of the people.

PEOs Statements

PSOs

PO1	Engineering knowledge: Apply 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 preparation and ability to engage in independent and life-long learning in the broadest context of technological change.