DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)
About Course
The Department of Artificial intelligence (AI) and machine learning (ML) was started in the year 2023.The Department offers a 4-Year full time B. Engg programme in Artificial Intelligence and Machine Learning Engineering and it has a team of well-qualified faculty members with rich industrial and academic experience. The broad professional experience of the faculty members bring a flavor and strength to research and development activities of the department. ICT enhanced teaching techniques are also used in the department to supplement the regular chalk and talk lectures.
The basic objectives of this course is to train students with the next age of intelligence and analytics generated by machines, influencing the human lives to help improve efficiencies and augment human capabilities,influencing consumer products with significant breakthroughs in healthcare,manufacturing,finance and retail industry,will embark on a journey that explores the fascinating realm of cutting-edge AI technologies that are reshaping industries, revolutionizing decision-making, and transforming the way we interact with data/information.
The prescribed core courses cover important and exciting areas of Artificial intelligence (AI) and machine learning (ML) including Artificial Intelligence and Machine Learning. As a part of the curriculum, the students are also given the best possible training in the Advanced Machine Learning and Artificial Intelligence Tools that are widely used in Companies.
Artificial intelligence (AI) and machine learning (ML) is to build intelligent computers and systems that can do activities that previously required human intelligence. Our everyday lives are starting to be affected by AI and ML, and these technologies' potential is only growing. AI and ML are seeing a boom in a number of areas, including banking, finance, manufacturing, automotive, healthcare, and cybersecurity.
Program Outcomes (POs):
PO 1:Engineering knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution to complex engineering problems.
PO 2: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.
PO 3: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.
PO 4: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.
PO 5: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.
PO 6: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.
PO 7: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.
PO 8:Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9:Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10: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.
PO 11: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.
PO 12: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.
PROGRAM EDUCATIONAL OBJECTIVES (PEO s) of the Department:
PEO 1:Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
PEO 2:Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
PEO 3:Conduct cutting edge research and develop solutions on problems of social relevance.
PEO 4:Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.
Program Specific Outcomes (PSOs) of the Department:
PSO 1:Exhibit design and programming skills to build and automate business solutions using
cutting edge technologies.
PSO 2:Strong theoretical foundation leading to excellence and excitement towards research, to
provide elegant solutions to complex problems.
CSE(AI&ML) DEPARTMENT IS EQUIPPED WITH FOLLOWING LABORATORIES:
Machine Learning Lab