Internet of Things (IoT)

Academics

The Department of IoT offers a well-designed, industry-aligned curriculum that integrates emerging technologies such as IoT, Embedded Systems, AI/ML, and Smart Automation. The curriculum is periodically updated and developed in consultation with industry experts to meet evolving technological trends. Its implementation emphasizes outcome-based learning, hands-on laboratory work, real-time projects, and NEP-aligned pedagogical practices. This structured academic framework ensures students develop strong technical competencies and are well-prepared for industry and research opportunities.

Program Educational Objectives (PEOs)

PEO1 Pursue a career in IoT and allied fields in the private/public sector (or) as an entrepreneur in areas such as smart systems, embedded solutions, cloud computing, and AI-driven IoT applications.
PEO2 Engage in the design, invention, and development of novel IoT technologies by applying an interdisciplinary approach, fostering creativity, innovation, and complex problem-solving skills to address real-world engineering challenges.
PEO3 Apply IoT-based professional knowledge to develop cost-effective, sustainable, and ethical solutions for technical and societal challenges, ensuring responsible innovation and social impact..

Program Outcomes (POs)

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, review 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 teamwork: 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.

Program Specific Outcomes (PSOs)

PSO1 Acquire knowledge in key IoT thrust areas such as Cloud Computing, Internet of Things (IoT), Data Science, Machine Learning, Network Security, and Artificial Intelligence to develop innovative solutions for societal and industry challenges of varying complexities.
PSO2 Design and develop innovative IoT-based prototypes or projects, individually or in teams, to address real-world industrial challenges by integrating sensors, embedded systems, wireless communication, and cloud platforms.

Student Centric Learning

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