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B-TECH in Cse Internet Of Things at Invertis University
Bareilly, Uttar Pradesh
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About the Specialization
What is CSE (Internet of Things) at Invertis University Bareilly?
This B.Tech CSE (Internet of Things) program at Invertis University focuses on equipping students with expertise in designing, developing, and deploying IoT systems. It covers sensor technologies, embedded systems, network protocols, cloud integration, and data analytics, catering to the burgeoning demand for skilled professionals in India''''s smart infrastructure and industrial automation sectors. The curriculum emphasizes practical application and innovation in connecting physical devices to the digital world.
Who Should Apply?
This program is ideal for fresh graduates with a strong foundation in science and mathematics, seeking entry into the dynamic field of connected technologies. It also suits working professionals looking to upskill in IoT, and career changers transitioning to roles like IoT developer, embedded systems engineer, or data analyst for smart devices. Prerequisites typically include 10+2 with PCM and a keen interest in hardware-software integration.
Why Choose This Course?
Graduates of this program can expect promising career paths in India, including IoT Solutions Architect, Embedded Systems Engineer, Cloud IoT Developer, Data Scientist for IoT, and IoT Security Specialist. Entry-level salaries range from INR 3-6 LPA, growing significantly with experience to INR 10-20+ LPA in companies like Tata Elxsi, Wipro, Infosys, and startups. The curriculum aligns with certifications from AWS IoT, Azure IoT, and Cisco IoT, enhancing employability.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to mastering core programming concepts (C/C++, Java, Python) and data structures. Actively solve problems on platforms like HackerRank, CodeChef, and GeeksforGeeks to build strong logical and algorithmic thinking, crucial for embedded and IoT development.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Online C/Python tutorials
Career Connection
Strong programming skills are foundational for any software-related role, especially in IoT embedded systems and cloud logic, directly impacting internship and entry-level placement opportunities.
Build Basic Electronics & Circuit Skills- (Semester 1-2)
Supplement classroom learning by experimenting with basic electronic components, circuit design, and microcontroller basics (e.g., Arduino, ESP32). Participate in college-level workshops or make simple projects like LED blinkers, sensor readers, and motor controls.
Tools & Resources
Arduino Starter Kits, Breadboards, Multimeter, Fritzing
Career Connection
Hands-on hardware experience is vital for IoT engineers, demonstrating practical knowledge highly valued by companies working with physical devices and embedded systems.
Join Technical Clubs & Peer Learning Groups- (Semester 1-2)
Engage actively with university technical clubs (e.g., Robotics Club, IoT Club) and form peer study groups. Collaborate on mini-projects, discuss complex topics, and prepare for competitive programming or technical quizzes, fostering a robust learning environment.
Tools & Resources
College IoT/Coding Clubs, Discord/WhatsApp study groups, Stack Overflow
Career Connection
Networking with peers and mentors helps in skill development, exposes you to diverse project ideas, and builds soft skills like teamwork and communication, which are essential for professional success.
Intermediate Stage
Undertake IoT Mini-Projects with Real Sensors- (Semester 3-5)
Start building small-scale IoT projects using actual sensors, microcontrollers, and communication modules (e.g., home automation, smart garden). Focus on integrating hardware with basic data logging and visualization. Document your projects thoroughly.
Tools & Resources
Raspberry Pi, ESP8266/ESP32, DHT11 sensor, MQTT Broker, ThingSpeak
Career Connection
Practical projects showcase your ability to apply theoretical knowledge to real-world problems, making your resume stand out for internships and specialized IoT roles. Documentation skills are also crucial.
Explore Cloud Platforms for IoT- (Semester 3-5)
Familiarize yourself with major cloud platforms offering IoT services like AWS IoT, Azure IoT Hub, or Google Cloud IoT Core. Complete introductory tutorials, deploy sample devices, and practice sending/receiving data to the cloud. Understand the basics of cloud security.
Tools & Resources
AWS Free Tier, Azure IoT Developer Kits, Google Cloud Skills Boost, Online courses (Coursera, Udemy)
Career Connection
Proficiency in cloud-based IoT solutions is highly sought after, opening doors to roles in IoT cloud development, data engineering for IoT, and solutions architecture in MNCs and cloud service providers.
Participate in Hackathons and Competitions- (Semester 3-5)
Actively participate in university, inter-college, and national-level hackathons focusing on IoT. This provides intensive hands-on experience, problem-solving under pressure, and opportunities to network with industry experts and potential employers. Build innovative prototypes.
Tools & Resources
Devpost, Major League Hacking (MLH) events, Smart India Hackathon
Career Connection
Winning or even participating in hackathons adds significant weight to your profile, demonstrating initiative, teamwork, and the ability to rapidly prototype solutions, often leading to direct internship offers.
Advanced Stage
Deep Dive into Data Analytics and ML for IoT- (Semester 6-8)
Focus on applying machine learning techniques to IoT data for predictive analytics, anomaly detection, and insights generation. Learn Python libraries like scikit-learn, TensorFlow/Keras, and explore edge AI concepts. Work on projects involving real-time data processing.
Tools & Resources
Python (NumPy, Pandas, Scikit-learn), TensorFlow Lite, Jupyter Notebooks, Kaggle datasets
Career Connection
Advanced data analytics and ML skills for IoT are highly valuable for roles like IoT Data Scientist, Machine Learning Engineer (Edge AI), and IoT Solutions Architect, commanding higher salary packages.
Undertake an Industry-Relevant Internship or Capstone Project- (Semester 6-8)
Secure a rigorous internship at an IoT-focused company or commit to a substantial capstone project that solves a real industry problem. Focus on developing a complete IoT solution from hardware to cloud, emphasizing scalability, security, and performance. Seek mentorship.
Tools & Resources
LinkedIn for internships, Company career pages, Faculty advisors, GitHub for project showcasing
Career Connection
An impactful internship or project provides critical industry exposure, builds a strong portfolio, and often converts into full-time employment, offering a competitive edge in the job market.
Develop Communication and Professional Skills- (Semester 6-8)
Alongside technical skills, cultivate strong communication, presentation, and report writing abilities. Practice explaining complex technical concepts clearly. Attend workshops on soft skills, resume building, and interview preparation to enhance your overall professional readiness.
Tools & Resources
Toastmasters International (local chapters), University placement cell workshops, Mock interviews
Career Connection
Excellent soft skills are crucial for leadership roles, client interaction, and effective teamwork. They are often the deciding factor in securing top placements and accelerating career growth in the Indian corporate landscape.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics, Chemistry, and Mathematics (PCM) as compulsory subjects, with a minimum of 45% aggregate marks (40% for SC/ST candidates) from a recognized board.
Duration: 8 semesters / 4 years
Credits: 183 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS101 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Matrices and Linear Algebra, Vector Calculus |
| BCS102 | Engineering Physics | Core | 4 | Quantum Mechanics, Wave Optics, Electromagnetism, Solid State Physics, Laser and Fiber Optics |
| BCS103 | Programming for Problem Solving | Core | 4 | Introduction to Programming (C), Control Flow Statements, Functions and Arrays, Pointers and Structures, File Handling |
| BCS104 | Basic Electrical Engineering | Core | 4 | DC and AC Circuits, Network Theorems, Single Phase AC Circuits, Transformers, Electrical Machines |
| BCS151 | Engineering Physics Lab | Lab | 1 | Error Analysis, Vernier Caliper and Screw Gauge, Optical Experiments, Electrical Experiments, Semiconductor Characteristics |
| BCS153 | Programming for Problem Solving Lab | Lab | 1 | Basic C Programming, Conditional Statements and Loops, Functions and Arrays Implementation, Pointers and Memory Allocation, File Operations |
| BCS154 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Circuit Laws, Series and Parallel Circuits, AC Circuit Analysis, Transformer Characteristics, Motor Principles |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS201 | Engineering Mathematics-II | Core | 4 | Ordinary Differential Equations, Partial Differential Equations, Laplace Transforms, Fourier Series, Complex Analysis |
| BCS202 | Engineering Chemistry | Core | 4 | Water Technology, Polymers, Corrosion and its Control, Fuel Chemistry, Environmental Pollution |
| BCS203 | Data Structure and Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| BCS204 | Basic Electronics Engineering | Core | 4 | Semiconductor Devices, Diode Applications, Transistors (BJT, FET), Operational Amplifiers, Digital Logic Gates |
| BCS205 | Environmental Science | Core | 3 | Ecology and Ecosystems, Natural Resources, Pollution Types and Control, Environmental Management, Sustainable Development |
| BCS252 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Water Hardness Determination, Viscosity Measurement, Surface Tension, pH and Conductivity |
| BCS253 | Data Structure and Algorithms Lab | Lab | 1 | Array and Linked List Operations, Stack and Queue Implementation, Tree Traversal Algorithms, Graph Representation, Sorting and Searching Programs |
| BCS254 | Basic Electronics Engineering Lab | Lab | 1 | Diode Characteristics, Rectifiers and Filters, Transistor Amplifier Circuits, Operational Amplifier Circuits, Logic Gate Verification |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCO301 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Recurrence Relations, Algebraic Structures |
| BCO302 | Digital Logic and Design | Core | 4 | Boolean Algebra, Combinational Circuits, Sequential Circuits, Registers and Counters, Memory Systems |
| BCO303 | Object-Oriented Programming (Java) | Core | 4 | OOP Concepts (Encapsulation, Inheritance, Polymorphism), Classes and Objects, Exception Handling, Multithreading, Collection Framework |
| BCO304 | Computer Organization and Architecture | Core | 4 | Processor Design, Memory Hierarchy, Input/Output Organization, Control Unit Design, Pipelining |
| BCS-IO305 | Sensors and Actuators for IoT | Core - IoT Specialization | 4 | Sensor Principles, Types of Sensors (Temperature, Pressure, Light), Actuator Technologies, Sensor Interfacing, Wireless Sensor Networks |
| BCS-IO355 | Object-Oriented Programming Lab (Java) | Lab | 1 | Implementing OOP Principles, Developing Java Applications, Exception Handling Practices, Multithreading Applications, GUI Programming Basics |
| BCS-IO356 | Digital Logic and Design Lab | Lab | 1 | Logic Gate Implementation, Combinational Circuit Design, Sequential Circuit Design, Flip-flops and Registers, Adders and Subtractors |
| BCS-IO357 | IoT Sensors and Actuators Lab | Lab | 1 | Interfacing various sensors (e.g., DHT11, PIR), Controlling actuators (e.g., LED, servo motor), Data acquisition from sensors, Basic embedded programming (Arduino/Raspberry Pi), Serial communication protocols |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCO401 | Operating Systems | Core | 4 | Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks |
| BCO402 | Database Management Systems | Core | 4 | Relational Model, SQL Queries, Database Design (ER Model), Normalization, Transaction Management |
| BCO403 | Computer Networks | Core | 4 | OSI and TCP/IP Models, Network Topologies, Routing Protocols, Transport Layer Protocols, Application Layer Protocols |
| BCS-IO404 | Microcontrollers and Embedded Systems | Core - IoT Specialization | 4 | Microcontroller Architecture, Embedded C Programming, Interfacing Techniques, Real-time Operating Systems (RTOS), Embedded System Design |
| BCS-IO405 | Wireless Communication for IoT | Core - IoT Specialization | 4 | Wireless Channel Characteristics, RF Communication Basics, IoT Wireless Technologies (Bluetooth, Wi-Fi, LoRa), Cellular IoT (NB-IoT, LTE-M), Network Topologies for IoT |
| BCS-IO451 | Operating Systems Lab | Lab | 1 | Shell Scripting, Process Management, CPU Scheduling Algorithms, Memory Allocation, Synchronization Problems |
| BCS-IO452 | Database Management Systems Lab | Lab | 1 | DDL and DML Commands, Advanced SQL Queries, Database Schema Design, Views and Stored Procedures, Database Connectivity (JDBC/ODBC) |
| BCS-IO453 | Microcontrollers and Embedded Systems Lab | Lab | 1 | Microcontroller programming (e.g., ESP32), GPIO operations, Timer and Interrupts, UART, I2C, SPI communication, Interfacing LCD, Keypad |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCO501 | Design and Analysis of Algorithms | Core | 4 | Algorithm Complexity, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness |
| BCO502 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Software Design, Testing and Maintenance, Project Management |
| BCS-IO503 | Cloud Computing for IoT | Core - IoT Specialization | 4 | Cloud Computing Paradigms, Cloud Service Models (IaaS, PaaS, SaaS), Edge and Fog Computing, Cloud Platforms for IoT (AWS IoT, Azure IoT), Cloud-based Data Storage for IoT |
| BCS-IO504 | IoT Protocols and Standards | Core - IoT Specialization | 4 | TCP/IP for IoT, Application Protocols (MQTT, CoAP, AMQP), Service Discovery Protocols, Data Serialization (JSON, XML), IoT Standards Organizations |
| BCS-OE01 | Open Elective-I (e.g., Organizational Behavior) | Open Elective | 3 | Individual Behavior, Group Dynamics, Leadership and Motivation, Organizational Culture, Conflict Management |
| BCS-IO553 | Cloud Computing for IoT Lab | Lab | 1 | Deploying IoT devices to cloud platforms, Setting up message brokers (e.g., MQTT broker), Storing sensor data in cloud databases, Creating cloud functions for IoT data processing, Visualizing IoT data in dashboards |
| BCS-IO554 | IoT Protocols Lab | Lab | 1 | MQTT client-broker communication, CoAP client-server implementation, HTTP REST API for IoT devices, Data parsing (JSON/XML), Network analysis for IoT traffic |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCO601 | Machine Learning for IoT | Core - IoT Specialization | 4 | Introduction to Machine Learning, Supervised Learning (Classification, Regression), Unsupervised Learning (Clustering), Time Series Analysis for IoT Data, Anomaly Detection in IoT |
| BCS-IO602 | Web Technology for IoT | Core - IoT Specialization | 4 | Web Frontend Technologies (HTML, CSS, JavaScript), Backend Development (Node.js, Python Flask), RESTful APIs for IoT, WebSockets for real-time IoT data, Data Visualization Libraries |
| BCS-IO603 | IoT Device and Network Management | Core - IoT Specialization | 4 | Device Provisioning, Firmware Over-The-Air (FOTA) Updates, Remote Device Monitoring, Network Security in IoT, IoT Gateway Management |
| BCS-PE01 | Professional Elective-I (e.g., Cyber Security) | Professional Elective | 4 | Cryptography Basics, Network Security Attacks, Web Security, Security Policies, Digital Forensics |
| BCS-OE02 | Open Elective-II (e.g., Entrepreneurship Development) | Open Elective | 3 | Concept of Entrepreneurship, Business Plan Development, Marketing Strategies, Funding Sources, Legal Aspects of Business |
| BCS-IO651 | Machine Learning for IoT Lab | Lab | 1 | Data preprocessing for sensor data, Implementing classification algorithms (e.g., SVM, Decision Trees), Regression analysis for IoT predictions, Clustering sensor data, Using ML libraries (Scikit-learn, TensorFlow Lite) |
| BCS-IO652 | Web Technology for IoT Lab | Lab | 1 | Building responsive IoT dashboards, Creating REST APIs for device control, Real-time data display using WebSockets, Integrating charts and graphs for IoT data, User authentication for IoT web applications |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS-IO701 | Industrial IoT (IIoT) | Core - IoT Specialization | 4 | IIoT Architecture, SCADA and DCS Systems, Edge Analytics for IIoT, Predictive Maintenance, Industry 4.0 Applications |
| BCS-IO702 | Big Data Technologies for IoT | Core - IoT Specialization | 4 | Big Data Concepts, Hadoop Ecosystem (HDFS, MapReduce), Spark for Real-time Processing, NoSQL Databases for IoT Data, Stream Processing (Kafka) |
| BCS-PE02 | Professional Elective-II (e.g., Blockchain for IoT) | Professional Elective | 4 | Blockchain Fundamentals, Distributed Ledger Technologies, Smart Contracts, Blockchain Platforms (Ethereum, Hyperledger), Security and Privacy in Blockchain IoT |
| BCS-PE03 | Professional Elective-III (e.g., Robotics and Automation) | Professional Elective | 4 | Robot Kinematics, Robot Control, Industrial Automation, Sensors in Robotics, Human-Robot Interaction |
| BCS-OE03 | Open Elective-III (e.g., Human Values and Professional Ethics) | Open Elective | 3 | Ethics in Engineering, Professionalism, Value Education, Social Responsibility, Environmental Ethics |
| BCS-P751 | Project / Dissertation - I | Project | 3 | Problem Identification, Literature Review, Methodology Design, Preliminary Implementation, Report Writing |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS-IO801 | IoT Applications and Case Studies | Core - IoT Specialization | 4 | Smart Homes and Cities, Smart Healthcare, Connected Vehicles, Precision Agriculture, Retail IoT Solutions |
| BCS-PE04 | Professional Elective-IV (e.g., Computer Vision for IoT) | Professional Elective | 4 | Image Processing Fundamentals, Object Detection, Image Recognition, Deep Learning for Vision, Edge AI for Vision |
| BCS-PE05 | Professional Elective-V (e.g., Natural Language Processing) | Professional Elective | 4 | Text Preprocessing, Language Models, Sentiment Analysis, Machine Translation, Chatbots and Virtual Assistants |
| BCS-P851 | Major Project / Dissertation - II | Project | 6 | System Design and Implementation, Testing and Validation, Performance Evaluation, Demonstration and Presentation, Comprehensive Project Report |
