Counselling Code
Artificial Intelligence & Machine Learning
Artificial Intelligence & Machine Learning
Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. Machine Learning (ML) is a subset of AI that involves the use of algorithms and statistical models to enable machines to improve their performance with experience.
We will provide the students with knowledge, expertise and training resources for these new technologies so that students can leverage this expertise in the field of computing. Students will be provided learning opportunities in real world work situations that will keep them abreast of the latest skills and knowledge . To adequately prepare themselves for the Industry, students will be given ample opportunities to participate in the technical activities, competitions, internships and placements.
Artificial Intelligence and Machine Learning undergraduate engineering course has been started by the institute from the academic year July 2023 with the intake capacity of 60 seats.
Vision
To develop competent professionals in the field of Artificial Intelligence and Machine Learning contributing globally to the benefit of industry and society.
Mission
- To develop state of the art academic and infrastructural facilities with modern equipment and other learning resources to produce self-sustainable professionals.
- To collaborate with Industry and Research Laboratories through projects based learning, internships enabling the students to explore, apply various directions of learning.
- To equip students with interdisciplinary skill sets to be able to build intelligent systems which in turn provide dynamic and promising careers in the global marketplace.
B. E. COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)
PROGRAM EDUCATIONAL OBJECTIVES (PEOs)
❖ Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
❖ Conduct cutting edge research and develop solutions on problems of social relevance.
❖ Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.
PROGRAM SPECIFIC OUTCOMES (PSOs)
The students will be able to:
❖ Exhibit design and programming skills to build and automate business solutions using cutting edge technologies.
❖ Strong theoretical foundation leading to excellence and excitement towards research, to provide elegant solutions to complex problems.
PROGRAM OUTCOMES
PROGRAM OUTCOMES (POs)
❖ 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/development of solutions :Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for 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.
❖ 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.
❖ The engineer and society :Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
❖ Environment and sustainability :Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
❖ Ethics :Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
❖ Individual and team work :Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
❖ 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.
❖ 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.
❖ 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.
