RVRJCCE

Computer Science & Engineering

(Artificial Intelligence & Machine Learning)

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.

HoD's Message

"Empowering the next generation of innovators in Artificial Intelligence and Machine Learning
to tackle real-world challenges."

Dr. G. Rama Mohan Babu,
Head of Department, CSE (AI & ML)

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Vision:

To be an excellence hub for Artificial Intelligence and Machine Learning education and research, cultivating innovative, socially conscious professionals with cutting-edge skills to help drive technological advancement and socioeconomic growth.

Mission:
  • Foster globally capable AI and ML professionals with robust ethical foundation, critical thinking, and problem-solving capabilities to address changing needs of the industry and society.
  • Develop a culture of innovation, learning, and research, enabling students and faculty to delve into cutting-edge technologies and make a difference in solutions.
  • Develop collaborations with industry and academia to marry knowledge with practice, creating AI & ML solutions that solve real-world problems and improve the well-being of society.
  • Create an environment where holistic development of students is encouraged by improving communication, collaboration, and leadership skills, shaping students into accountable global professionals.

PEO1 Graduates will have thriving careers in industry, academia, research, or entrepreneurship through the implementation of their deep technical expertise in Computer Science, Artificial Intelligence, and Machine Learning combined with good professional values and ethics.
PEO2 Graduates will adopt lifelong learning and research, consistently enhancing their skills to deliver innovation and progress in AI & ML and related areas to meet changing technological and societal requirements.
PEO3 Graduates will apply their knowledge and skills to develop and implement sustainable, AI-based solutions for socioeconomic growth and improved quality of life.
PEO4 Graduates will exhibit leadership, effective communication, teamwork, and critical-thinking skills to excel in multivaried, international, and interdisciplinary settings.

PSO1 The graduates will have extensive knowledge and hands-on skills in machine learning and artificial intelligence methodologies that will allow them to develop, implement, and optimize data-driven models and algorithms for real-world issues in various fields.
PSO2 The graduates will be able to create intelligent, auto, and scalable systems using contemporary tools, frameworks, and computational platforms with expertise in computer vision, natural language processing, robotics, and other AI/ML technologies.
PSO3 The graduates will use AI & ML tools and techniques with a sense of social responsibility and sustainability to develop economically viable and socially relevant solutions that enhance human well-being.

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.

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