Artificial Intelligence and Data Science

PEO1: Graduates will possess strong fundamental knowledge in Engineering Science, Programming, Machine Learning, Artificial Intelligence and Data Science

PEO2: Graduates will thrive in diverse careers in evolving field across various industries.

PEO3: Graduates will apply and elevate their technical skills by pursuing higher studies at prestigious institutions, contributing to pioneering research advancements. 

PEO4: Graduates will be able to design and model AI-based solutions for critical problem domains, exhibiting innovative thoughts and creative ideas to effectively contribute towards societal and economic development.

PSO5: Graduates will exhibit leadership, teamwork, entrepreneurship, and ethical responsibility across disciplines, skillfully leading AI and data science projects to solve real-world challenges.

PSO1: Apply the acquired AI and Data Science knowledge proficiently in interdisciplinary problem-solving scenarios leveraging programming expertise.

PSO2: Develop and evaluate AI models using advanced data analytics and visualization tools to derive efficient solutions.

PSO3: Execute research projects utilizing state-of-the-art AI technologies to address critical societal needs and contribute to technological innovation.

PO1 : Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering  problems.

PO2 : Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3 : 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.

PO4 : 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.

PO5 : 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.

PO6 :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.

PO7: 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.

PO8 : Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9 : Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10 : 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.

PO11: 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.

PO12 : 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.