A. Shama Rao Foundation SRINIVAS INSTITUTE OF TECHNOLOGY Mangaluru 574143, Karnataka (NAAC Accredited, Affiliated to VTU, Belgavi and Recognized by the AICTE, New Delhi)
 
CET CODE
E144
COMEDK Code
E138

Department Of Artificial Intelligence and Machine Learning

Overview

Four year B.E. undergraduate course in Artificial Intelligence (AI) & Machine Learning (ML) is designed to inculcate technically sound knowledge in advanced learning systems that are based on algorithms of Artificial Intelligence and Machine Learning. AI is changing the way we work and live. AI is already creating tremendous amounts of value into the software industry and in sectors such as retail, travel, transportation, automotive, materials, manufacturing and so on. Understanding AI and knowing how to create AI powered applications gives you an edge in your career.
AI is about teaching the machines to learn, act and think as humans. It is the application of computing to solve problems in an intelligent way using algorithms. AI systems typically demonstrate behaviours associated with human intelligence such as planning, learning, reasoning, problem-solving, knowledge representation, perception, psychology, manipulation, social intelligence and creativity.
Machine learning is a subset of AI that uses computer algorithms to analyze data and make intelligent decisions based on what it has learned, without being explicitly programmed. Machine learning algorithms are trained with large sets of data and programmed to learn from examples. Machines do not follow rule-based algorithms. Machine learning is what enables machines to solve problems on their own and make accurate predictions using the provided data.

Vision

To be a centre of excellence in Artificial Intelligence and Machine Learning with quality education and research, responsive to the needs of industry and society.

Mission

To achieve academic excellence through innovative teaching-learning practice.

To inculcate the spirit of innovation, creativity and research.

To enhance employability through skill development and industry-institute interaction.

To develop professionals with ethical values and social responsibilities.

Program Educational Objectives (PEO)

Graduates will be

  • 1
    PEO1: Competent professionals in the field of Artificial Intelligence and Machine Learning to pursue careers in diverse fields and higher education.
  • 2
    PEO2: Proficient in designing innovative solutions to real life problems that are technically sound, economically viable and socially acceptable.
  • 3
    PEO3: Capable of working in teams and adapting to new technologies as per the society needs with ethical values.

Programme Specific Outcomes (PSO)

  • 1
    PSO1: Hardware and hardware-software co-design: Ability to identify, design, simulate, analyse and develop AI and ML models, using modern engineering tools and programming languages.
  • 2
    PSO2: Domain specific skills: Ability to work in the field of AI /ML Engineer, Data Scientist, Business Analyst, Product Analyst, Research Scientist and Robotics Professional.

Programme Outcome (PO)

Career Scope