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PEOs, POs & PSOs

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PEOs, POs & PSOs

Program Educational Objectives (PEOs)

  • PEO 1:   Graduates will establish themselves as competent IoT professionals by applying domain-specific knowledge in sensors, communication, and data analytics to solve real-world challenges.

  • PEO 2: Graduates will engage in lifelong learning through advanced studies, research, certifications, and continuous upskilling in emerging IoT technologies such as AI, cloud, and cybersecurity.

  • PEO 3: Graduates will demonstrate ethical responsibility, teamwork, leadership, and effective communication in developing inclusive IoT-based solutions for diverse domains.

  • PEO 4: Graduates will apply modern tools, innovation, and entrepreneurial skills to develop secure, sustainable, and scalable IoT products and services for societal and industrial benefit.

Program Outcomes (POs)


  • PO1 : Engineering Knowledge - Understand and use mathematics, engineering fundamentals, and IoT specific knowledge for developing technical solutions in areas involving sensing, communication, embedded systems, and automation for challenging problems.

  • PO2 : Problem Analysis - Ability to identify, formulate, and analyze engineering problems in the domain of smart devices, network protocols, and intelligent edge/cloud systems to arrive at appropriate solutions based on analysis and evaluative thinking.

  • PO3 : Design/Development of Solutions - Ability to design and develop sustainable, secured, and user-centric IoT solutions for smart cities, smart healthcare, smart manufacturing, or smart energy systems considering the broader societal and environmental constraints.

  • PO4 : Research and Investigation - Undertake investigations and perform data analysis by employing experiments, statistical models, and simulation tools to enhance the performance and veracity of IoT systems.

  • PO5 : Modern Tool Usage - Employ current engineering and ICT tools such as cloud-based IoT platforms, programmable microcontrollers, edge AI and digital twins to create and provide evidence for Intelligent systems.

  • PO6 : The Engineer and the World - Utilize your contextual knowledge of the social, ethical, legal and environmental impacts of implementing connected systems in their real-world context.

  • PO7 : Ethics and Professional Commitment - Utilize professional ethical responsibility when designing, implementing and maintaining IoT systems in accordance with data privacy, safety, and global interoperability practices.

  • PO8 : Teamwork and Collaboration - Function successfully as an independent individual or in a leadership role in a multi-disciplined manner, as part of a team, to create and integrate end-to-end IoT applications in line with industry 4.0 and 5.0.

  • PO9 : Communication Skills - Effectively communicate complexities of the technical data and system architectures and effectively convey these messages to include engineers, users and stakeholder groups through design documentation, dashboards and visualizations.

  • PO10 : Project Management and Innovation - Demonstrate an understanding of project planning, entrepreneurship and innovation in the management of scalable IoT projects for an industry or societal purpose.

  • PO11 : Lifelong Learning and Tech Adaptability - Participate in lifelong learning and education relevant to emerging areas of IoT such as machine learning, and cybersecurity.


Program Specific Outcomes (PSOs)

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  • PSO1: Apply IoT architecture, protocols, and embedded systems knowledge to design and develop efficient connected devices and smart applications.

  • PSO2: Use cloud/edge platforms, AI/ML, and data analytics tools to implement scalable, intelligent, and secure IoT solutions.

  • PSO3: Innovate and integrate IoT with emerging domains such as smart cities, healthcare, agriculture, and Industry 5.0 to deliver sustainable and impactful solutions.


NAAC Alignment Overview

NAAC Criteria

Document Support & Highlights

Curricular Aspects 

Vision, Mission, PEOs, POs, PSOs clearly align with outcome-based education in IoT and smart systems. 

Teaching-Learning and Evaluation 

Focus on experiential, project-based learning and industry collaboration in IoT. 

Research, Innovations and Extension 

Emphasis on IoT research, start-ups, and multidisciplinary projects with societal relevance. 

Infrastructure and Learning Resources 

Equipped with state-of-the-art IoT labs, cloud platforms, and prototyping tools. 

Student Support and Progression 

Internships, hackathons, certifications, and industry-linked projects in IoT domain. 

Governance, Leadership and Management 

Commitment to leadership, ethics, and continuous quality improvement in IoT education. 

Institutional Values and Best Practices 

Promotion of sustainability, inclusivity, entrepreneurship, and digital transformation. 


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