SE ROAI Time Table_2025_26 SEM I
Program Outcomes (POs) are statements that articulate what students are expected to know, understand, and be able to do by the time they graduate from the program. These outcomes are aligned with the overall educational objectives of the program and reflect the skills, knowledge, attitudes, and behaviors acquired by students throughout their academic journey. On successful completion of B.E. in Robotics and Artificial Intelligence, graduating students/graduates will be able to:
PO
No.
Title
Program Outcome Description
PO1
Engineering Knowledge
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop the solution of complex engineering problems.
PO2
Problem Analysis
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3
Design / Development of Solutions
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for public health and safety, whole-life cost, net zero carbon, culture, society and environment. (WK5)
PO4
Conduct Investigations of Complex Problems
Conduct investigations of complex engineering problems using research- based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)
PO5
Engineering Tool Usage
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling, recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO6
The Engineer and The World
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)
PO7
Ethics
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8
Individual and Collaborative Team Work
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9
Communication
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
PO10
Project Management and Finance
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects in multidisciplinary environments.
PO11
Life-Long Learning
Recognize the need for, and have the preparation and ability for: (i) independent and life-long learning, (ii) adaptability to new and emerging technologies, and (iii) critical thinking in the broadest context of technological change. (WK8)
Program Specific Outcomes (PSOs)
PSO No.
Title/Focus Area
Description
PSO 1
Foundation and Application of Robotics
Graduates will be able to apply kinematics, dynamics, control systems, and mechanical design to model, analyze, and develop robotic systems for industrial and real-world applications
PSO 2
Integration of Robotics with Artificial Intelligence
Graduates will demonstrate the ability to integrate AI techniques (such as machine learning, computer vision, and intelligent control) with mechanical systems to develop autonomous and adaptive robotic solutions.
PSO 3
Design and Development of Intelligent Systems
Graduates will possess the skills to design, simulate, and implement intelligent robotic systems by combining mechanical components with embedded systems, sensors, actuators, and AI algorithms to address real-world problems in manufacturing, healthcare, and automation.
Knowledge and Attitude Profile (WK)
WK No.
WK 1
Natural Sciences and Social Sciences
A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
WK 2
Mathematics and Data Analysis
Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
WK 3
Engineering Fundamentals
A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
WK 4
Engineering Specialist Knowledge
Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
WK 5
Engineering Design and Environmental Considerations
Knowledge, including efficient resource use, environmental impacts, whole- life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
WK 6
Engineering Practice (Technology)
Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
WK 7
Role of Engineering in Society
Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
WK8
Research and Critical Thinking
Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
WK 9
Ethics and Inclusive Behavior
Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability, etc., with mutual respect.
Class Time Table 2025-26 Sem I (1 July 2025).xlsx - ME-I
Class Time Table 2025-26 Sem I (1 July 2025).xlsx - ME-II
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