Department of Artificial Intelligence & Machine Learning
The ultimate objective of artificial intelligence is to create computer programmes that are faster and more accurate problem solvers than people. Developing machines in the fields of expert systems, robotics, computer vision, speech recognition, language detection, and more has a broad scope. One can succeed in the field of Artificial Intelligence (AI) on the basis of elements like automation, robotics, and advanced computer programme usage.
Future scope of Artificial Intelligence and Machine Learning in India:
Graduates can 1. Apply their technical competence in computer science to solve real world problems, with technical and people leadership. 2. Conduct cutting edge research and develop solutions on problems of social relevance. 3. Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.
PO# Graduate Attribute 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 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. 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. 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. 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. 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. 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. 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. 9. Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. 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. 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. 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.
The Students will be able to 1. Exhibit design and programming skills to build and automate business solutions using cutting edge technologies. 2. Strong theoretical foundation leading to excellence and excitement towards research, to provide elegant solutions to complex problems.
