Program Objectives POs

• POs 1

  sciences, economics fundamentals, and statistics specialization to solve complex problems in AI and ML.

• POs 2

  Problem analysis: Identify, formulate, and analyze complex AI and ML problems, reaching substantiated conclusions using the first principles of mathematics, natural sciences, and statistical methods

• POs 3

  Design/development of solutions: Solve complex mathematical and statistical problems in AI and ML, designing system components or processes that meet specified needs while considering public health, safety, cultural, societal, and environmental factors.

• POs 4

  Conduct investigations of complex problems: Utilize research-based methods, including the design of experiments, data analysis, interpretation, and synthesis of information, to draw logical conclusions.

• POs 5

  Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern tools for prediction and modeling in AI and ML, understanding their limitations.

• POs 6

  Professional and Societal Impact: Apply reasoning within contextual knowledge to address societal, health, safety, legal, and cultural issues and responsibilities relevant to professional practice in AI and ML.

• POs 7

  Environment and sustainability: Understand the impact of professional AI and ML solutions in societal and environmental contexts, demonstrating the knowledge of and need for sustainable development.

• POs 8

  Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms in the practice of AI and ML.

• POs 9

  Individual and team work: Function effectively both as an individual and as a member or leader in diverse teams and multidisciplinary settings

• POs 10

  Communication: Communicate effectively on complex AI and ML activities with the scientific community and society at large, giving and receiving clear instructions.

• POs 11

  Project management and finance: Demonstrate knowledge and understanding of principles in statistics, data science, AI/ML, and management, applying them to one's own work as a team member or leader to manage projects in multidisciplinary environments.

• POs 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.