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B-TECH in Internet Of Things at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Internet of Things at SRM Institute of Science and Technology Chengalpattu?
This Internet of Things program at SRM Institute of Science and Technology focuses on equipping students with expertise in designing, developing, and deploying IoT solutions. It emphasizes the integration of hardware, software, and communication technologies crucial for smart environments. The program addresses the growing demand for skilled professionals in India''''s rapidly expanding smart city and industrial automation sectors, providing a comprehensive understanding of the IoT ecosystem from sensors to cloud. Its key differentiators include a strong practical focus on embedded systems and data analytics.
Who Should Apply?
This program is ideal for fresh engineering graduates seeking entry into the high-growth IoT and embedded systems industries. It also suits working professionals looking to upskill in cutting-edge IoT technologies or career changers transitioning into smart solutions development. Prospective students should ideally have a strong foundation in computer science or electronics principles, with an interest in hardware-software integration, networking, and data processing, to fully leverage the program''''s advanced curriculum.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in roles like IoT Engineer, Embedded Systems Developer, IoT Solutions Architect, Data Scientist for IoT, or Smart City Technologist. Entry-level salaries typically range from INR 4-7 LPA, growing significantly with experience to INR 10-25+ LPA in leading Indian and multinational tech firms. The program prepares students for roles in sectors such as smart manufacturing, healthcare, agriculture, and logistics, aligning with industry certifications in cloud platforms and embedded programming.
Student Success Practices
Foundation Stage
Strengthen Core Programming & Math Skills- (Semester 1-2)
Dedicate time to master C, Python, Data Structures, Algorithms, and Discrete Mathematics. These form the bedrock of IoT and computer science. Solve problems regularly, participate in coding contests, and understand the logic thoroughly, not just memorizing syntax. Utilize resources like HackerRank and LeetCode for problem-solving practice and NPTEL for conceptual clarity.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL videos
Career Connection
A strong foundation ensures easier learning of advanced topics, critical for excelling in technical interviews for core engineering and software development roles in IoT companies.
Explore Basic Electronics and Hardware- (Semester 1-2)
Beyond classroom labs, get hands-on with basic electronics components, Arduino, and Raspberry Pi kits. Build small projects like blinking an LED, reading sensor data, or controlling a motor. This early practical exposure demystifies hardware and establishes a crucial connection between theoretical concepts and physical implementation, essential for IoT.
Tools & Resources
Arduino Starter Kit, Raspberry Pi, Breadboards, Sensors (DHT11, Ultrasonic)
Career Connection
Develops practical hardware skills highly valued for embedded systems and IoT device development roles, making you a more versatile engineer.
Join Technical Clubs and Peer Learning Groups- (Semester 1-2)
Actively participate in departmental technical clubs focused on IoT, robotics, or programming. Form study groups with peers to discuss complex topics, share knowledge, and collaborate on mini-projects. This fosters a collaborative learning environment and helps in developing teamwork and communication skills.
Tools & Resources
Departmental IoT/Robotics Club, Discord/WhatsApp Study Groups
Career Connection
Builds a strong network, hones soft skills, and provides opportunities to work on group projects, which are often discussed in interviews and internships.
Intermediate Stage
Undertake Mini-Projects and Competitions- (Semester 3-5)
Apply theoretical knowledge by undertaking self-initiated mini-projects related to IoT, embedded systems, or data analytics. Participate in hackathons and inter-college technical competitions. Focus on solving real-world problems, even on a small scale. Document your projects meticulously, including design choices and challenges faced.
Tools & Resources
GitHub for project version control, Tinkercad for circuit simulation, Kaggle for data challenges
Career Connection
Creates a strong project portfolio, demonstrating practical skills and problem-solving abilities to potential employers during internships and placements. Wins in competitions boost your resume.
Gain Exposure to Cloud and Data Platforms- (Semester 3-5)
Start learning and experimenting with popular cloud platforms like AWS IoT, Azure IoT Hub, or Google Cloud IoT Core. Understand how data from IoT devices is ingested, processed, and visualized. Explore basic data analytics tools and techniques relevant to time-series IoT data. Consider introductory certifications from these platforms.
Tools & Resources
AWS Free Tier, Microsoft Azure for Students, Coursera/edX courses on Cloud/IoT
Career Connection
Cloud and data skills are indispensable for IoT solution development, opening doors to roles in cloud engineering, data engineering, and IoT platform management.
Develop Strong Network and Communication Skills- (Semester 3-5)
Attend industry workshops, webinars, and guest lectures hosted by the institution or external organizations. Practice presenting your project work and engaging in technical discussions. Join professional bodies like IEEE student chapters. This helps in understanding industry trends and building a professional network.
Tools & Resources
LinkedIn, Industry conferences (virtual/local), Toastmasters International (if available)
Career Connection
Enhances communication abilities crucial for team collaboration and client interactions, while networking can lead to internship and job opportunities.
Advanced Stage
Pursue Industrial Internships and Capstone Projects- (Semester 6-8)
Secure an industrial internship during summer breaks or the final year. Actively contribute to real-world projects, gaining invaluable hands-on experience and understanding industry best practices. For the final year project, choose a complex, impactful problem, preferably industry-sponsored, aligning with your specialization (e.g., smart agriculture, predictive maintenance).
Tools & Resources
Company internship portals, Faculty advisors for project guidance, JIRA/Asana for project management
Career Connection
Internships often lead to pre-placement offers. A robust capstone project showcases advanced problem-solving, design, and implementation skills, significantly improving placement prospects.
Specialize in an IoT Vertical and Advanced Technologies- (Semester 6-8)
Identify a specific area within IoT (e.g., Industrial IoT, Healthcare IoT, Smart Home, IoT Security) and delve deeper into its advanced technologies. This could involve learning specialized protocols, advanced embedded programming, IoT security frameworks, or machine learning for edge devices. Aim for a distinct competitive edge.
Tools & Resources
Specialized online courses (Udemy, Pluralsight), Research papers, Open-source IoT projects
Career Connection
Positions you as a specialist, highly sought after for niche roles in specific IoT domains, potentially leading to better compensation and faster career growth.
Focus on Placement Preparation and Interview Skills- (Semester 6-8)
Intensively prepare for campus placements, focusing on technical aptitude, coding challenges, and subject-specific questions related to IoT, embedded systems, networking, and data analytics. Practice mock interviews, group discussions, and build a compelling resume and LinkedIn profile. Highlight your projects and specialized skills.
Tools & Resources
Placement cell resources, Mock interview platforms, Resume builders, Technical interview books
Career Connection
Directly enhances your ability to clear interviews and secure desirable job offers from top companies, ensuring a smooth transition from academics to professional life.
Program Structure and Curriculum
Eligibility:
- Minimum 50% aggregate in PCM / PCB in 10+2 or equivalent examination with Physics, Chemistry, Mathematics / Biology / Biotechnology / Technical Vocational subject as major subjects.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21LEM101 | Communicative English | Mandatory Course | 0 | English Grammar, Reading Comprehension, Writing Skills, Listening and Speaking, Public Speaking |
| 21BSB101J | Basic Sciences – Biology for Engineers | Core | 3 | Introduction to Biology, Biomolecules, Cell Biology, Genetics, Ecology and Environment |
| 21BSM101J | Basic Sciences – Calculus and Linear Algebra | Core | 4 | Differential Calculus, Integral Calculus, Matrices, Vector Spaces, Linear Transformations |
| 21BSP101J | Basic Sciences – Physics for Engineers | Core | 4 | Mechanics, Optics, Electromagnetism, Quantum Mechanics, Solid State Physics |
| 21ESG101J | Engineering Graphics and Design | Core | 2 | Engineering Drawing Standards, Orthographic Projections, Isometric Views, Sectional Views, AutoCAD Basics |
| 21EGS101J | Programming in C | Core | 3 | C Language Fundamentals, Control Structures, Functions, Arrays and Pointers, Structures and Unions |
| 21EGP101J | Programming in C Laboratory | Lab | 1 | C Programming Practice, Conditional Statements Lab, Looping Constructs Lab, Function Implementation Lab, Array and String Operations Lab |
| 21LEP101 | Soft Skills | Mandatory Course | 0 | Communication Skills, Teamwork, Problem-solving, Time Management, Professional Etiquette |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21LEH101 | NCC/NSS/NSO | Mandatory Course | 0 | National Cadet Corps activities, National Service Scheme activities, National Sports Organization activities |
| 21BSA101J | Basic Sciences – Chemistry for Engineers | Core | 3 | Water Technology, Electrochemistry, Corrosion, Polymers, Nanomaterials |
| 21BSM102J | Basic Sciences – Advanced Calculus and Transforms | Core | 4 | Vector Calculus, Ordinary Differential Equations, Partial Differential Equations, Laplace Transforms, Fourier Series |
| 21BSL101J | Physics and Chemistry Lab | Lab | 2 | Semiconductor Diode Characteristics, Young''''s Modulus Experiment, Viscosity of Liquid, Water Hardness Determination, Potentiometric Titration |
| 21ESC101J | Engineering Design | Core | 2 | Design Process, Product Development, Material Selection, Ergonomics, Cost Estimation |
| 21EES101J | Basic Electrical and Electronics Engineering | Core | 3 | DC Circuits, AC Circuits, Semiconductor Devices, Digital Electronics Basics, Power Systems Overview |
| 21EEP101J | Basic Electrical and Electronics Engineering Lab | Lab | 1 | Ohm''''s Law Verification, Diode Characteristics Experiment, Transistor Amplifier Design, Logic Gates Implementation, Circuit Simulation Tools |
| 21EAS101J | Python Programming | Core | 3 | Python Fundamentals, Data Structures in Python, Object-Oriented Programming, File Handling, Modules and Packages |
| 21EAP101J | Python Programming Laboratory | Lab | 1 | Python Scripting, List, Tuple, Dictionary Operations, Functions and Classes, Exception Handling, Database Connectivity |
| 21LPH101 | Physical Education | Mandatory Course | 0 | Fitness Training, Team Sports, Individual Sports, Yoga and Meditation, Health and Wellness |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CSM201J | Discrete Mathematics | Core | 4 | Set Theory, Logic and Proofs, Combinatorics, Graph Theory, Algebraic Structures |
| 21CSS201J | Data Structures and Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| 21CSP201J | Data Structures and Algorithms Laboratory | Lab | 1 | Array and List Implementation, Stack and Queue Operations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Practice |
| 21ITC201J | Digital Logic and Computer Architecture | Core | 4 | Boolean Algebra, Combinational Circuits, Sequential Circuits, Processor Design, Memory Organization |
| 21ITL201J | Digital Logic and Computer Architecture Laboratory | Lab | 1 | Logic Gates Implementation, Flip-Flops and Counters, Adders and Subtractors, Memory Unit Design, Processor Simulation |
| 21CSE201J | Database Management Systems | Core | 3 | Database Architecture, Relational Model, SQL Queries, Database Design, Transaction Management |
| 21CSI201J | Database Management Systems Laboratory | Lab | 1 | SQL Practice, Database Schema Creation, Data Manipulation Language, Data Control Language, Report Generation |
| 21CSS202J | Object Oriented Programming in Java | Core | 3 | Java Fundamentals, Classes and Objects, Inheritance and Polymorphism, Exception Handling, Multithreading |
| 21CSP202J | Object Oriented Programming in Java Laboratory | Lab | 1 | Java Program Development, Object-Oriented Design Patterns, GUI Programming, Database Connectivity (JDBC), Web Application Basics |
| 21ITM201L | IoT Professional Skills | Mandatory Course | 0 | IoT Fundamentals, IoT Device Architectures, Networking for IoT, Security in IoT, Cloud Platforms for IoT |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BSM201J | Probability and Statistics | Core | 4 | Probability Theory, Random Variables, Probability Distributions, Hypothesis Testing, Regression Analysis |
| 21CSS203J | Operating Systems | Core | 4 | Operating System Structures, Process Management, Memory Management, File Systems, I/O Systems |
| 21CSP203J | Operating Systems Laboratory | Lab | 1 | Linux Commands, Shell Scripting, Process Scheduling Simulation, Memory Allocation Techniques, System Calls Practice |
| 21ITC202J | Computer Networks | Core | 3 | Network Topologies, OSI Model, TCP/IP Protocol Suite, Routing Protocols, Network Security Basics |
| 21ITL202J | Computer Networks Laboratory | Lab | 1 | Network Configuration, Socket Programming, Packet Tracing, Routing Protocol Implementation, Network Performance Analysis |
| 21CSE202J | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, NP-Completeness |
| 21CSS204J | Web Technology | Core | 3 | HTML, CSS, JavaScript, Client-Side Scripting, Server-Side Scripting (e.g., PHP/Node.js), Web Frameworks, Web Security |
| 21CSP204J | Web Technology Laboratory | Lab | 1 | Frontend Development, Backend Development, Database Integration, API Development, Web Application Deployment |
| 21CST201J | Internet of Things Architecture and Protocols | Core | 3 | IoT Reference Model, IoT Network Architecture, Communication Protocols (MQTT, CoAP), IoT Gateways, Sensor Networks |
| 21CSI202J | Internet of Things Architecture and Protocols Laboratory | Lab | 1 | IoT Device Interfacing, Sensor Data Acquisition, MQTT Broker Setup, CoAP Client-Server, IoT Gateway Configuration |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21ITE3XXJ | Professional Elective I | Elective | 3 | Specialized topics chosen by student |
| 21ITM301J | Microcontrollers for IoT | Core | 3 | Microcontroller Architecture, ARM Processors, Peripheral Interfacing, Embedded C Programming, RTOS Concepts |
| 21ITL301J | Microcontrollers for IoT Laboratory | Lab | 1 | Microcontroller Programming, GPIO Control, Sensor Interfacing, Actuator Control, Communication Protocols (SPI, I2C) |
| 21ITM302J | Cloud and Edge Computing for IoT | Core | 3 | Cloud Computing Basics, Cloud Platforms (AWS, Azure, GCP), Edge Computing Concepts, Fog Computing, Data Management in IoT Clouds |
| 21ITL302J | Cloud and Edge Computing for IoT Laboratory | Lab | 1 | Cloud IoT Services, Edge Device Deployment, Data Ingestion and Processing, Serverless Computing, IoT Data Analytics |
| 21ITM303J | Data Analytics for IoT | Core | 3 | IoT Data Sources, Data Preprocessing, Machine Learning Algorithms, Time Series Analysis, Big Data Technologies for IoT |
| 21ITL303J | Data Analytics for IoT Laboratory | Lab | 1 | Python for Data Science, Data Visualization, ML Model Training, Stream Analytics, IoT Data Dashboard |
| 21ITC301J | Wireless Sensor Networks | Core | 3 | WSN Architecture, MAC Protocols for WSN, Routing in WSN, Localization and Time Synchronization, WSN Security |
| 21CSI301 | Mini Project with Viva Voce | Project | 2 | Problem Identification, System Design, Implementation, Testing and Evaluation, Technical Report Writing |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21ITE3XXJ | Professional Elective II | Elective | 3 | Specialized topics chosen by student |
| 21ITE3XXJ | Professional Elective III | Elective | 3 | Specialized topics chosen by student |
| 21ITE3XXJ | Open Elective I | Elective | 3 | Interdisciplinary topics chosen by student |
| 21ITM304J | IoT Security and Privacy | Core | 3 | IoT Threat Model, Security Architectures, Cryptography for IoT, Privacy Preserving Techniques, Secure Firmware Updates |
| 21ITL304J | IoT Security and Privacy Laboratory | Lab | 1 | Vulnerability Assessment, Penetration Testing, Secure Communication Implementation, Access Control Mechanisms, Anomaly Detection |
| 21ITM305J | Industrial IoT and Cyber-Physical Systems | Core | 3 | Industry 4.0, IIoT Architectures, Cyber-Physical Systems, Smart Manufacturing, Digital Twin |
| 21ITL305J | Industrial IoT and Cyber-Physical Systems Laboratory | Lab | 1 | PLC Programming, SCADA Systems, Robotics Integration, Predictive Maintenance, Real-time Data Processing |
| 21CSI302 | Summer Industrial Internship / Project | Internship/Project | 2 | Industry Exposure, Practical Skill Application, Problem Solving, Report Writing, Professional Networking |
| 21CSS301J | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21ITE4XXJ | Professional Elective IV | Elective | 3 | Specialized topics chosen by student |
| 21ITE4XXJ | Professional Elective V | Elective | 3 | Specialized topics chosen by student |
| 21ITM401J | IoT Application Development | Core | 3 | IoT Platforms (ThingsBoard, Blynk), Mobile Application Development (Android/iOS), Web Application Development for IoT, RESTful APIs for IoT, User Interface Design |
| 21ITL401J | IoT Application Development Laboratory | Lab | 1 | Full-stack IoT Application, Mobile App Integration, Cloud-based IoT Solution, Voice Assistant Integration, Real-time Data Visualization |
| 21ITM402J | Embedded Systems Design for IoT | Core | 3 | Embedded Linux, Raspberry Pi / BeagleBone, Device Drivers, Firmware Development, Power Management |
| 21ITL402J | Embedded Systems Design for IoT Laboratory | Lab | 1 | Embedded OS Configuration, Custom Hardware Interfacing, Bare-metal Programming, RTOS Application Development, System Debugging |
| 21CSI401 | Project Work Phase I | Project | 6 | Project Proposal, Literature Review, System Architecture Design, Module Development, Progress Reporting |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21ITE4XXJ | Professional Elective VI | Elective | 3 | Specialized topics chosen by student |
| 21ITE4XXJ | Open Elective II | Elective | 3 | Interdisciplinary topics chosen by student |
| 21CSI402 | Project Work Phase II | Project | 10 | System Integration, Testing and Validation, Performance Optimization, Documentation, Project Defense |
