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B-TECH-BACHELOR-OF-TECHNOLOGY-SIT-PUNE in Internet Of Things at Symbiosis International University (SIU)
Pune, Maharashtra
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About the Specialization
What is Internet of Things at Symbiosis International University (SIU) Pune?
This Internet of Things program at Symbiosis Institute of Technology (SIT) Pune focuses on equipping students with expertise in designing, developing, and deploying smart interconnected systems. In the context of India''''s rapidly digitizing economy and "Digital India" initiatives, this specialization is crucial for fostering innovation in smart cities, healthcare, agriculture, and manufacturing. The program distinguishes itself through a blend of hardware, software, and data analytics, catering to the growing demand for IoT professionals.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for science, technology, engineering, and mathematics (STEM), seeking entry into the dynamic field of IoT. It also welcomes working professionals in IT or electronics looking to upskill in emerging technologies, and career changers aiming to transition into smart system development. Prerequisite backgrounds typically include foundational knowledge in physics, mathematics, and basic programming.
Why Choose This Course?
Graduates of this program can expect promising career paths in India as IoT Engineers, Embedded System Developers, Data Analysts for IoT, Cloud Architects, and IoT Security Specialists. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning INR 12-25 lakhs or more. Growth trajectories are strong in Indian tech hubs like Bangalore, Hyderabad, and Pune, with potential for roles aligning with certifications like AWS Certified IoT – Specialty or Google Cloud IoT Core.
Student Success Practices
Foundation Stage
Master Programming & Engineering Fundamentals- (Semester 1-2)
Dedicate significant time to mastering core programming languages (C/C++, Python) and fundamental engineering concepts (Mathematics, Physics, Electrical/Electronics). Utilize online platforms for coding practice and problem-solving to build a strong base.
Tools & Resources
HackerRank, LeetCode, NPTEL courses, Khan Academy, GeeksforGeeks
Career Connection
Strong fundamentals are the building blocks for advanced IoT development, crucial for technical interviews and problem-solving in real-world projects and future specializations.
Build Basic Electronic Circuit Skills- (Semester 1-2)
Actively participate in all basic electronics and electrical engineering labs. Experiment with components like resistors, capacitors, diodes, and microcontrollers. Start simple projects using Arduino or Raspberry Pi kits to gain hands-on experience.
Tools & Resources
Arduino Starter Kit, Raspberry Pi, Proteus/LTSpice for circuit simulation, YouTube tutorials for basic electronics
Career Connection
Essential for understanding the hardware layer of IoT devices, troubleshooting circuits, and translating theoretical electronics knowledge into practical IoT implementations.
Develop Effective Study & Peer Learning Habits- (Semester 1-2)
Form study groups with peers to discuss complex topics, share notes, and collaboratively solve problems. Practice time management and active recall techniques. Participate in academic workshops offered by the department to enhance learning.
Tools & Resources
Google Meet for virtual study groups, Notion for collaborative note-taking, College library resources, Departmental workshops
Career Connection
Enhances understanding of core subjects, develops crucial teamwork skills, and prepares students for collaborative work environments common in the technology industry.
Intermediate Stage
Engage in Mini IoT Projects & Hackathons- (Semester 3-5)
Apply theoretical knowledge from core IoT subjects (Sensors, Architectures, Embedded Systems) by building functional mini-projects. Participate in college-level or external IoT hackathons to gain practical experience and showcase problem-solving skills.
Tools & Resources
ESP32 Development Boards, Raspberry Pi, Various IoT sensors (DHT11, PIR, LDR), Cloud platforms (AWS IoT Free Tier, Azure IoT Hub), Local hackathon communities
Career Connection
Builds a practical portfolio, demonstrates applied problem-solving abilities, and makes a candidate stand out during internships and competitive placement drives.
Acquire Industry-Relevant Software Skills- (Semester 4-5)
Beyond core programming, learn specific tools and platforms crucial for IoT: MQTT brokers, basic cloud services (AWS IoT, Azure IoT), and database management systems (SQL/NoSQL). Pursue online certifications for these technologies.
Tools & Resources
Udemy, Coursera, NPTEL, Official documentation for AWS/Azure IoT, MongoDB University, Docker for containerization
Career Connection
Directly aligns with industry demands, making graduates job-ready for roles involving IoT platform management, data handling, and solution deployment in real-world scenarios.
Network with Professionals & Alumni- (Semester 4-5)
Attend guest lectures, industry seminars, and alumni meet-ups. Connect with professionals on platforms like LinkedIn to seek mentorship, understand current industry trends, and learn about career opportunities in the IoT domain.
Tools & Resources
LinkedIn Professional Network, College alumni network portals, Industry events hosted by local tech communities and organizations
Career Connection
Opens doors to internship opportunities, provides valuable career advice, and can lead to potential job referrals, which are crucial for navigating the competitive Indian job market.
Advanced Stage
Undertake a Comprehensive Major Project- (Semester 7-8)
Work on a challenging, real-world IoT project (either self-identified or industry-sponsored) that integrates hardware, software, cloud, and data analytics. Document the project meticulously and present it professionally at conferences or competitions.
Tools & Resources
Advanced microcontrollers and single-board computers, Specialized sensors and actuators, Powerful cloud compute services, AI/ML libraries, Project management tools (Jira, Trello)
Career Connection
A strong major project is often the centerpiece of a resume, demonstrating comprehensive skill application and readiness for complex engineering roles and research opportunities.
Secure & Excel in Industrial Internships- (Semester 6-7 (during summer breaks or dedicated internship semester))
Actively seek out and complete a meaningful internship (6-8 weeks) at a reputable company specializing in IoT, embedded systems, or related fields. Focus on learning industry best practices and delivering tangible value to the organization.
Tools & Resources
College placement cell services, LinkedIn for internship search, Internshala, Direct application via company career pages
Career Connection
Internships often lead to pre-placement offers (PPOs) and provide invaluable real-world experience, significantly enhancing employability and practical industry understanding.
Develop Professional Communication & Interview Skills- (Semester 6-8)
Practice aptitude tests, technical interviews, and group discussions regularly. Seek guidance from career services for resume building, mock interviews, and soft skill development crucial for successful campus placements and job hunting.
Tools & Resources
Online aptitude platforms, Interview preparation books and guides, College career counseling and placement cells, Peer feedback sessions
Career Connection
Maximizes chances of securing desired placements by effectively showcasing technical knowledge, strong communication skills, and professional demeanor to potential employers.
Program Structure and Curriculum
Eligibility:
- 10+2 (PCM) with minimum 45% marks (40% for SC/ST) or equivalent, and a valid score in SITEEE or JEE Main.
Duration: 4 years / 8 semesters
Credits: 188 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Engineering Mathematics I | Core | 4 | Differential Calculus, Integral Calculus, Matrices, Vector Calculus, Ordinary Differential Equations |
| PH101 | Engineering Physics | Core | 4 | Quantum Mechanics, Optics, Electromagnetism, Semiconductor Physics, Lasers and Fiber Optics |
| CS101 | Programming for Problem Solving | Core | 4 | C Programming Fundamentals, Data Types and Operators, Control Structures, Functions and Pointers, Arrays and Strings |
| EE101 | Basic Electrical Engineering | Core | 3 | DC & AC Circuits, Network Theorems, Transformers, Electrical Machines, Measuring Instruments |
| ME101 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Views, Sectional Views, Development of Surfaces, AutoCAD Basics |
| HS101 | Professional Communication | Core | 2 | Grammar and Vocabulary, Technical Report Writing, Presentation Skills, Group Discussion, Interview Techniques |
| PH102 | Engineering Physics Lab | Lab | 1 | Light Interference and Diffraction, Semiconductor Device Characteristics, Magnetic Field Measurements, Laser and Fiber Optics Experiments |
| CS102 | Programming for Problem Solving Lab | Lab | 1 | C Program Debugging, Implementation of Control Flow, Function Usage, Array Manipulation, Basic Algorithm Coding |
| EE102 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Kirchhoff''''s Laws, Study of DC Motor, Transformer Characteristics, Circuit Analysis, Electrical Safety Practices |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Engineering Mathematics II | Core | 4 | Multivariable Calculus, Laplace Transforms, Fourier Series, Probability and Statistics, Complex Numbers |
| CH101 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion, Water Treatment, Polymer Science, Spectroscopic Techniques |
| CS103 | Data Structures & Algorithms | Core | 4 | Arrays, Linked Lists, Stacks, Queues, Trees and Graphs, Searching and Sorting Algorithms, Hashing Techniques, Algorithm Complexity Analysis |
| EC101 | Basic Electronics Engineering | Core | 3 | Semiconductor Diodes, Transistor Biasing, Rectifiers and Filters, Amplifiers, Oscillators |
| ME102 | Engineering Mechanics | Core | 3 | Forces and Equilibrium, Moments and Couples, Friction, Kinematics of Particles, Work, Energy and Power |
| HS102 | Environmental Studies | Core | 2 | Natural Resources, Ecosystems and Biodiversity, Environmental Pollution, Waste Management, Sustainable Development |
| CH102 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Water Hardness Determination, Viscosity Measurements, Instrumental Methods (pH, conductivity), Corrosion Rate Measurement |
| CS104 | Data Structures & Algorithms Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversal Algorithms, Graph Search Algorithms, Sorting and Searching Practice |
| EC102 | Basic Electronics Engineering Lab | Lab | 1 | Diode Characteristics, Transistor Amplifier Design, Rectifier Circuit Implementation, Logic Gate Verification, Oscillator Circuit Study |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201 | Discrete Mathematics | Core | 3 | Mathematical Logic, Set Theory and Relations, Functions and Sequences, Graph Theory, Combinatorics and Probability |
| CS201 | Object-Oriented Programming | Core | 4 | Classes and Objects, Inheritance and Polymorphism, Encapsulation and Abstraction, Exception Handling, File I/O and Collections |
| EC201 | Digital Logic Design | Core | 4 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Memory Devices |
| CS202 | Computer Organization and Architecture | Core | 4 | CPU Architecture, Memory Hierarchy, Input/Output Organization, Instruction Set Architecture, Pipelining and Parallel Processing |
| IT301 | Introduction to Internet of Things | Core | 3 | IoT Ecosystem and Vision, IoT Devices and Gateways, Connectivity Technologies, IoT Data Management, IoT Applications and Challenges |
| IT302 | Sensor & Actuator Technologies | Core | 3 | Types of Sensors, Actuator Principles, Transducers and Signal Conditioning, Interfacing with Microcontrollers, Calibration and Measurement |
| CS203 | Object-Oriented Programming Lab | Lab | 1 | Java/C++ Program Development, Class and Object Implementation, Inheritance Hierarchies, Polymorphism Practice, Exception Handling Scenarios |
| EC202 | Digital Logic Design Lab | Lab | 1 | Truth Table Verification, Designing Combinational Circuits, Flip-Flop Implementation, Counter and Register Design, Logic Gate Experiments |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS204 | Operating Systems | Core | 4 | Process and Thread Management, CPU Scheduling Algorithms, Memory Management, File Systems, Deadlocks and Concurrency |
| CS205 | Database Management Systems | Core | 4 | ER Model and Relational Model, SQL Queries and Operations, Normalization and Dependencies, Transaction Management, Concurrency Control and Recovery |
| IT401 | IoT Architecture & Protocols | Core | 4 | IoT Reference Architectures, Communication Protocols (MQTT, CoAP), Network Layer Protocols, IoT Gateways, Cloud Communication Models |
| IT402 | Microcontrollers & Embedded Systems for IoT | Core | 4 | Microcontroller Architectures (ARM, AVR), Embedded C Programming, Peripherals and Interrupts, Real-Time Operating Systems (RTOS) Basics, Interfacing with External Devices |
| IT403 | Wireless Sensor Networks | Core | 3 | WSN Architectures and Topologies, MAC Protocols for WSN, Routing Protocols in WSNs, Localization and Time Synchronization, Security and Energy Management in WSNs |
| IT404 | IoT Lab I | Lab | 1 | Sensor Interfacing with Microcontrollers, Actuator Control Projects, Basic Data Acquisition Systems, Introduction to IoT Platforms, Simple IoT Device Networking |
| CS206 | Operating Systems Lab | Lab | 1 | Linux Commands and Shell Scripting, Process Creation and Management, Thread Synchronization, CPU Scheduling Simulation, Memory Allocation Algorithms |
| CS207 | Database Management Systems Lab | Lab | 1 | SQL Queries (DDL, DML, DCL), Database Design and ER Diagrams, Normalization Practice, Trigger and Stored Procedure Implementation, Front-end Database Connectivity |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301 | Computer Networks | Core | 4 | OSI and TCP/IP Models, Network Devices and Topologies, IP Addressing and Routing, Transport Layer Protocols (TCP, UDP), Application Layer Protocols |
| CS302 | Design and Analysis of Algorithms | Core | 4 | Algorithm Design Paradigms, Sorting and Searching, Graph Algorithms, Dynamic Programming, Complexity Classes (P, NP, NP-Complete) |
| IT501 | Cloud Computing for IoT | Core | 4 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, IoT Cloud Platforms (AWS IoT, Azure IoT), Edge Computing Architectures, Serverless Computing for IoT |
| IT502 | IoT Security & Privacy | Core | 3 | IoT Security Challenges, Threat Models and Vulnerabilities, Secure Boot and Firmware Updates, Access Control and Authentication, Privacy-Preserving Techniques |
| IT503 | Machine Learning for IoT | Core | 3 | ML Fundamentals and Types, Supervised and Unsupervised Learning, Regression and Classification Algorithms, Clustering Techniques, ML at the Edge and TinyML |
| IT504 | IoT Lab II | Lab | 1 | Cloud Platform Integration for IoT, Data Visualization from IoT Devices, Implementing IoT Security Measures, Basic Machine Learning Model Deployment, Edge Computing Experiments |
| OE101 | Open Elective I | Open Elective | 3 | Interdisciplinary topics as per student choice, Basic concepts of chosen field, Applications and relevance, Case studies, Emerging trends |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT601 | IoT Device Programming | Core | 4 | Advanced Embedded C/Python, Operating Systems for IoT (RIOT, Zephyr), ESP32 and Raspberry Pi Programming, Inter-device Communication, Power Management for IoT Devices |
| IT602 | Big Data Analytics for IoT | Core | 4 | Big Data Concepts and Challenges, Hadoop Ecosystem (HDFS, MapReduce), Spark for Stream Processing, NoSQL Databases for IoT Data, Data Visualization and Reporting |
| PE301 | Professional Elective I | Elective | 3 | Advanced Wireless Communication for IoT, Industrial IoT (IIoT), Smart City Applications, Blockchain for IoT, Computer Vision for IoT |
| PE302 | Professional Elective II | Elective | 3 | Robotics and Automation, Augmented Reality/Virtual Reality for IoT, Cyber-Physical Systems, Network Virtualization, Green IoT |
| IT603 | Mini Project | Project | 2 | Problem Identification and Scope, System Design and Architecture, Hardware and Software Implementation, Testing and Debugging, Project Documentation and Presentation |
| HS301 | Entrepreneurship Development | Core | 2 | Concept of Entrepreneurship, Business Plan Development, Marketing and Finance for Startups, Legal and Ethical Aspects, Innovation and Idea Generation |
| IT604 | IoT Lab III | Lab | 1 | Advanced IoT Device Programming, Big Data Analytics Tools Implementation, Secure IoT Communication Protocols, Multi-device Integration Scenarios, IoT Platform Advanced Features |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT701 | IoT Applications & Case Studies | Core | 4 | Smart Home and Building Automation, Smart Healthcare and Wearables, Smart Agriculture and Environment, Automotive IoT and Connected Vehicles, Industry 4.0 and Smart Manufacturing |
| PE401 | Professional Elective III | Elective | 3 | Cognitive IoT, Human-Computer Interaction for IoT, Digital Twin Technology, Service-Oriented Architecture for IoT, Quantum Computing in IoT |
| PE402 | Professional Elective IV | Elective | 3 | Advanced IoT Forensics, Trust and Reputation in IoT, Software-Defined Networking for IoT, Wearable Technology Design, Biomedical IoT Applications |
| IT702 | Industrial Training/Internship | Project | 6 | Real-world Industry Exposure, Project-based Learning, Professional Skill Development, Teamwork in Corporate Settings, Industry Best Practices |
| IT703 | Major Project Part I | Project | 4 | Literature Survey and Problem Definition, System Requirement Analysis, High-Level Design, Module Identification, Initial Implementation Plan |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PE403 | Professional Elective V | Elective | 3 | DevOps for IoT, Deep Learning for IoT, Data Governance in IoT, Ethical Hacking for IoT, Smart Grid Technologies |
| PE404 | Professional Elective VI | Elective | 3 | Augmented Intelligence for IoT, Intrusion Detection Systems for IoT, Context-Aware Computing, Digital Forensics for IoT Devices, Smart Retail and Logistics |
| IT801 | Major Project Part II | Project | 10 | Detailed Design and Implementation, Testing and Validation, Performance Analysis and Optimization, Final Documentation and Report, Demonstration and Presentation |
| IT802 | Seminar | Project | 2 | Advanced Research Topic Selection, Literature Review and Analysis, In-depth Study of a Specific Area, Effective Presentation Skills, Technical Report Writing |
