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  • Dundigal,Hyderabad, Telangana - 500043
  • info@mlritm.ac.in
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EAPCET Code:MLRS

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Educational Objectives & Outcomes

Educational Objectives & Outcomes

Program Educational Objectives (PEO's)

PEO No.Program Educational Objective
PEO – IProfessional Competence: Graduates will possess strong theoretical and practical knowledge in Artificial Intelligence and Machine Learning, enabling them to solve complex real-world problems, pursue higher education, or excel in professional careers.
PEO – IIInnovation and Research Orientation: Graduates will engage in innovative practices, cutting-edge research, and contribute to the advancement of AI and ML technologies through collaboration with industry and academia.
PEO – IIILeadership and Lifelong Learning: Graduates will exhibit leadership qualities, effective communication, and teamwork skills, and will continuously upgrade their knowledge to adapt to evolving technological landscapes.
PEO – IVEntrepreneurial and Community Engagement: Graduates will leverage entrepreneurial skills and a sense of civic responsibility to create AI-driven solutions that benefit local and global communities.

Program Outcomes (POs)

PO No.Program Outcome
PO 1Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 2Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems using first principles.
PO 3Design/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 4Conduct 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 5Modern 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 6The 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 7Environment 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 8Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10Communication: 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 11Project 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 12Life-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 Specific Outcomes (PSO's)

PSO No.Program Specific Outcome
PSO1Able to identify, analyze and solve the problems related to Artificial Intelligence and Machine Learning by applying the fundamental knowledge of Computer Science and Engineering.
PSO2Able to use innovative tools and techniques to build project models in the areas related to Deep Learning, Machine learning, Artificial Intelligence.
PSO3Able to apply their Artificial Intelligence and Machine Learning knowledge in interdisciplinary domains to address societal, environmental, health, safety challenges while aligning Sustainable development goals.