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B-TECH in Cse Internet Of Things Iot at Koneru Lakshmaiah Education Foundation (Deemed to be University)
Guntur, Andhra Pradesh
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About the Specialization
What is CSE - Internet of Things (IoT) at Koneru Lakshmaiah Education Foundation (Deemed to be University) Guntur?
This B.Tech CSE - Internet of Things (IoT) program at Koneru Lakshmaiah Education Foundation focuses on building expertise in interconnected devices and smart systems. Given India''''s rapid digitalization and focus on smart infrastructure, this specialization addresses the growing demand for IoT professionals across diverse sectors like manufacturing, healthcare, and smart cities. The program emphasizes hands-on learning and practical applications relevant to the evolving Indian tech landscape.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong interest in electronics, programming, and data, aspiring to lead the IoT revolution in India. It also suits working professionals looking to upskill in emerging technologies or career changers aiming to transition into the high-demand IoT industry. Students with a background in science and mathematics, particularly those keen on innovation and system design, will thrive here.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths as IoT Solution Architects, Embedded Systems Engineers, Data Analysts for IoT, or IoT Security Specialists. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA in leading Indian and global companies. The curriculum prepares students for roles in smart manufacturing, healthcare IoT, and agritech, aligning with national digital initiatives.
Student Success Practices
Foundation Stage
Master Programming & Data Structures Fundamentals- (Semester 1-2)
Dedicate significant time to mastering C, Java, and data structures. Actively solve problems on platforms like HackerRank and LeetCode to build strong algorithmic thinking. Understand the core concepts deeply as they form the backbone for IoT device programming and data handling.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, NPTEL courses on C and Java
Career Connection
A solid foundation in programming and data structures is crucial for cracking technical interviews for entry-level software development and embedded systems roles, directly impacting placement success.
Build Foundational Electronics & Logical Thinking- (Semester 1-2)
Engage actively in Engineering Physics and Electrical Technology labs. Experiment with basic circuits, microcontrollers, and sensors beyond class assignments. This practical exposure enhances logical reasoning and provides a tangible understanding of how physical components interact, which is vital for IoT hardware.
Tools & Resources
Arduino kits, Raspberry Pi, Proteus software for circuit simulation, online electronics tutorials
Career Connection
Develops problem-solving skills and hardware familiarity, essential for roles in embedded systems, IoT device prototyping, and hardware-software integration.
Cultivate Effective Communication & Professional Ethics- (Semester 1-2)
Actively participate in English language and communication skills labs, focusing on improving public speaking, report writing, and interpersonal communication. Understand and internalize professional ethics and human values, which are critical for responsible technology development in India.
Tools & Resources
Toastmasters International (local chapters), online public speaking courses, university debate clubs
Career Connection
Strong communication and ethical grounding are highly valued by recruiters for all roles, especially client-facing, team lead, and management positions, ensuring holistic professional development.
Intermediate Stage
Engage in Hands-on IoT Prototyping & Project Work- (Semester 3-5)
Beyond lab sessions, initiate personal IoT projects using platforms like Arduino or ESP32. Focus on integrating various sensors, actuators, and communication modules. Participate in hackathons and inter-collegiate competitions to apply theoretical knowledge and build a project portfolio.
Tools & Resources
Arduino IDE, PlatformIO, ESP32/ESP8266 development boards, IoT sensor modules, Tinkercad
Career Connection
Develops practical skills in IoT solution design and implementation, making you highly employable for IoT developer, firmware engineer, and system integrator roles. Project experience is key for interviews.
Deep Dive into IoT Specific Technologies & Certifications- (Semester 3-5)
Supplement coursework with online certifications in key IoT areas such as cloud platforms (AWS IoT, Azure IoT), specific communication protocols (MQTT, CoAP), or data analytics tools. Actively study and implement concepts from ''''IoT System Design'''' and ''''IoT Sensors and Actuators.''''
Tools & Resources
Coursera, Udemy, edX, NPTEL, AWS IoT official documentation, Cisco IoT Fundamentals
Career Connection
Gaining specialized certifications enhances your resume, validates your expertise, and increases your chances for targeted roles in IoT cloud services, data engineering, and IoT architecture.
Network with Industry Professionals & Seek Internships- (Semester 4-5)
Attend industry webinars, conferences, and guest lectures to understand current trends and network with professionals. Actively seek internships (even unpaid initially) in IoT startups or established companies to gain real-world experience and build industry contacts.
Tools & Resources
LinkedIn, industry-specific meetups, university career fairs, alumni network
Career Connection
Internships provide invaluable practical exposure, lead to pre-placement offers, and build a professional network crucial for job searches and long-term career growth in the competitive Indian market.
Advanced Stage
Specialize through Advanced Projects & Electives- (Semester 6-8)
Focus your final year projects (Project Work I & II, Capstone Project) on an advanced IoT domain like Industrial IoT, Smart Cities, or IoT Security. Strategically choose program electives that align with your career aspirations to build deep expertise in a niche area.
Tools & Resources
Advanced microcontrollers, domain-specific IoT platforms, machine learning frameworks (TensorFlow, PyTorch), blockchain platforms
Career Connection
A well-executed capstone project showcases your ability to deliver comprehensive solutions, differentiating you for specialized roles and potentially attracting venture capital for startup ideas.
Prepare for Placements & Develop Interview Skills- (Semester 6-8)
Start rigorous placement preparation early, including aptitude tests, technical rounds, and HR interviews. Practice mock interviews with peers and faculty, focusing on behavioral questions and presenting your projects effectively. Refine your resume and LinkedIn profile to highlight IoT-specific skills and achievements.
Tools & Resources
Online aptitude platforms, interview preparation books, university placement cell workshops, LinkedIn for company research
Career Connection
Comprehensive preparation significantly increases your chances of securing placements in top-tier companies, securing competitive salaries, and kickstarting a successful career in the IoT domain.
Contribute to Research & Innovation- (Semester 7-8)
Explore opportunities to work with faculty on research papers or participate in university-level research projects related to IoT. Consider presenting your project work at student conferences or publishing in relevant journals. This fosters critical thinking and advanced problem-solving skills.
Tools & Resources
Research labs, university''''s research publications portal, IEEE Xplore, Google Scholar
Career Connection
Research exposure is valuable for students aiming for higher studies (M.Tech/Ph.D.), R&D roles in corporate settings, or those looking to innovate and contribute significantly to the IoT field.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 with Physics, Chemistry, Maths (PCM) or Physics, Chemistry, Biology (PCB) with 60% aggregate and rank in KLUEEE / JEE (Mains) / EAMCET / Merit in sports / Cultural activities.
Duration: 4 years (8 semesters)
Credits: 160 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BS1101 | Engineering Physics | Core | 4 | Wave Optics, Lasers and Fibre Optics, Quantum Mechanics, Solid State Physics, Semiconductors |
| 22BS1102 | Engineering Chemistry | Core | 4 | Water Technology, Electrochemistry, Corrosion and Its Control, Fuel Technology, Polymers and Composites |
| 22HS1101 | English | Core | 3 | Functional English, Communication Skills, Reading Comprehension, Writing Skills, Grammar and Vocabulary |
| 22EE1101 | Electrical Technology | Core | 3 | DC Circuits, AC Circuits, Transformers, DC Machines, AC Machines |
| 22MA1101 | Calculus and Differential Equations | Core | 4 | Differential Calculus, Integral Calculus, First Order Differential Equations, Higher Order Differential Equations, Vector Calculus |
| 22ES1101 | Problem Solving & Programming with C | Core | 3 | C Language Fundamentals, Control Structures, Functions and Pointers, Arrays and Strings, Structures and Unions |
| 22BS1103 | Engineering Physics Lab | Lab | 1.5 | Wave Optics Experiments, Laser and Fibre Optics Experiments, Energy Gap of Semiconductor, Magnetic Field Measurement, Viscosity of Liquids |
| 22BS1104 | Engineering Chemistry Lab | Lab | 1.5 | Water Hardness Determination, pH Metry, Conductometry, Potentiometry, Viscosity Index |
| 22HS1102 | English Language & Communication Skills Lab | Lab | 1 | Pronunciation Practice, Group Discussions, Presentations, Listening Comprehension, Interview Skills |
| 22ES1102 | Problem Solving & Programming with C Lab | Lab | 1.5 | C Program Implementation, Conditional Statements, Looping Constructs, Function Implementation, Array and Pointer Operations |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BS1201 | Environmental Studies | Core | 3 | Natural Resources, Ecosystems and Biodiversity, Environmental Pollution, Social Issues and Environment, Environmental Acts and Policies |
| 22HS1201 | Professional Ethics & Human Values | Core | 3 | Human Values, Engineering Ethics, Ethical Theories, Moral Autonomy, Professional Ideals |
| 22MA1201 | Linear Algebra & Numerical Methods | Core | 4 | Matrices and Determinants, Vector Spaces, Linear Transformations, Numerical Solutions of Equations, Interpolation and Curve Fitting |
| 22ES1201 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sections of Solids, Development of Surfaces, Auto CAD Basics |
| 22ES1202 | Data Structures | Core | 3 | Arrays and Pointers, Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching |
| 22ES1203 | Object Oriented Programming through Java | Core | 3 | Java Fundamentals, Classes and Objects, Inheritance and Polymorphism, Exception Handling, Multithreading |
| 22ES1204 | Data Structures Lab | Lab | 1.5 | Array Implementations, Linked List Operations, Stack/Queue Applications, Tree Traversal Algorithms, Graph Algorithms |
| 22ES1205 | Object Oriented Programming through Java Lab | Lab | 1.5 | Java Program Development, Class and Object Design, Inheritance and Interface Implementation, Exception Handling Practices, Basic GUI Applications |
| 22PR1201 | Technical Seminar | Project/Seminar | 1 | Research Methodology, Technical Report Writing, Presentation Skills, Literature Review, Topic Selection and Scoping |
| 22ES1206 | Engineering Workshop & Manufacturing Practice | Lab | 1.5 | Carpentry and Joinery, Fitting and Assembly, Welding Techniques, Foundry Practices, Basic Machining Operations |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA2101 | Discrete Mathematics | Core | 4 | Set Theory, Mathematical Logic, Relations and Functions, Graph Theory, Algebraic Structures |
| 22CS2101 | Database Management Systems | Core | 3 | Database Concepts, ER Model and Relational Model, SQL Queries and Operations, Normalization Techniques, Transaction Management |
| 22CS2102 | Computer Organization and Architecture | Core | 3 | Computer Basics and Function, CPU Organization, Memory System Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| 22CS2103 | Operating Systems | Core | 3 | Operating System Concepts, Process Management, CPU Scheduling Algorithms, Memory Management, File Systems and I/O Systems |
| 22IO2101 | Introduction to IoT | Core | 3 | IoT Fundamentals and Paradigms, IoT Architecture, Devices, Gateways and Cloud, Communication Protocols for IoT, IoT Applications and Ecosystem |
| 22IO2102 | IoT Sensors and Actuators | Core | 3 | Sensor Principles and Classification, Digital and Analog Sensors, Actuator Principles and Types, Microcontrollers and Microprocessors, Interfacing Sensors and Actuators |
| 22CS2104 | Database Management Systems Lab | Lab | 1.5 | SQL Querying Practice, PL/SQL Programming, Database Schema Design, Concurrency Control, Report Generation using SQL |
| 22CS2105 | Operating Systems Lab | Lab | 1.5 | Linux Commands and Utilities, Shell Scripting, Process Creation and Management, CPU Scheduling Algorithms Implementation, System Calls Programming |
| 22IO2103 | IoT Sensors and Actuators Lab | Lab | 1.5 | Sensor Data Acquisition, Actuator Control using Microcontrollers, Basic IoT Device Programming, Data Logging and Monitoring, Mini IoT Project Development |
| 22CS2106 | Life Skills | Skill Course | 1 | Critical Thinking, Problem Solving, Teamwork and Collaboration, Communication Skills, Time Management |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS2201 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 22CS2202 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Strategies, Software Project Management |
| 22CS2203 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical Layer Concepts, Data Link Layer Protocols, Network Layer Protocols, Transport Layer Protocols |
| 22IO2201 | IoT System Design | Core | 3 | IoT System Architectures, Cloud Platforms for IoT, Edge Computing in IoT, IoT Data Management, Security and Privacy in IoT |
| 22IO2202 | Wireless and Mobile Communication for IoT | Core | 3 | Wireless Communication Basics, Cellular Systems (2G, 3G, 4G, 5G), Wi-Fi and Bluetooth, LPWAN Technologies (LoRa, NB-IoT), Ad-hoc and Sensor Networks |
| 22HM2201 | Managerial Economics and Financial Analysis | Core | 3 | Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Capital Budgeting, Financial Statements Analysis |
| 22CS2204 | Computer Networks Lab | Lab | 1.5 | Network Configuration and Troubleshooting, Socket Programming, Network Traffic Analysis, Routing Protocols Implementation, Network Security Concepts |
| 22IO2203 | IoT System Design Lab | Lab | 1.5 | IoT Platform Integration, Cloud Services Configuration, Data Visualization for IoT, Device Management Techniques, IoT Prototype Development |
| 22CS2205 | Life Skills | Skill Course | 1 | Professional Development, Emotional Intelligence, Stress Management, Decision Making, Negotiation Skills |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS3101 | Data Science | Core | 3 | Data Collection and Preprocessing, Exploratory Data Analysis, Data Visualization, Statistical Methods, Introduction to Machine Learning |
| 22CS3102 | Theory of Computation | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| 22IO3101 | IoT Security and Privacy | Core | 3 | IoT Security Challenges, Cryptography for IoT, Access Control Mechanisms, Privacy Preserving Techniques, Secure Communication Protocols |
| 22IO3102 | Cloud Computing for IoT | Core | 3 | Cloud Computing Models (IaaS, PaaS, SaaS), Virtualization Technologies, Cloud Services for IoT (AWS IoT, Azure IoT), Serverless Computing, Cloud-IoT Integration Patterns |
| 22OE31XX | Open Elective - I | Open Elective | 3 | General topics based on chosen elective, Cross-disciplinary knowledge, Skill enhancement, Emerging technologies, Interdisciplinary applications |
| 22PE31A1 | IoT Communication Protocols | Program Elective | 3 | Network Architectures for IoT, MQTT Protocol, CoAP Protocol, Zigbee and Bluetooth Low Energy, LoRaWAN and NB-IoT |
| 22PE31A2 | Wearable Technologies for IoT | Program Elective | 3 | Wearable Device Architectures, Sensors in Wearables, Data Acquisition and Processing, Health Monitoring Applications, Smart Textiles and Implants |
| 22PE31A3 | Computer Vision for IoT | Program Elective | 3 | Image Processing Fundamentals, Object Detection and Recognition, Machine Vision Algorithms, Real-time Video Analytics, Applications in Smart Surveillance |
| 22PE31A4 | Digital Image Processing | Program Elective | 3 | Image Transforms (DFT, DCT), Image Enhancement Techniques, Image Restoration, Image Compression, Image Segmentation |
| 22CS3103 | Data Science Lab | Lab | 1.5 | Python for Data Manipulation, Statistical Analysis using Libraries, Machine Learning Model Building, Data Visualization Techniques, Case Studies in Data Science |
| 22IO3103 | IoT Security and Privacy Lab | Lab | 1.5 | Implementing Security Protocols, Penetration Testing for IoT Devices, Data Encryption and Decryption, Access Control Implementation, IoT Device Hardening Techniques |
| 22IO3104 | Mini Project with Python for IoT | Project | 2 | Python Programming for IoT, Sensor Data Processing, IoT Device Integration, Project Planning and Management, Technical Report Writing |
| 22HS3101 | Universal Human Values | Core | 2 | Self-exploration and Self-realization, Human-Human Relationship, Harmony in Society, Ethical Human Conduct, Holistic Understanding |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS3201 | Artificial Intelligence | Core | 3 | AI Fundamentals, Problem Solving Agents, Search Algorithms (informed, uninformed), Knowledge Representation, Introduction to Machine Learning |
| 22CS3202 | Professional Communication and Soft Skills | Core | 2 | Verbal Communication, Non-verbal Communication, Presentation Skills, Group Discussion Techniques, Interview Preparation |
| 22IO3201 | IoT Analytics and Visualization | Core | 3 | IoT Data Analytics Methods, Time Series Analysis for IoT, Machine Learning Algorithms for IoT, Data Visualization Tools (e.g., Tableau, PowerBI), Predictive Analytics |
| 22IO3202 | Edge and Fog Computing for IoT | Core | 3 | Edge Computing Architecture, Fog Computing Concepts, Real-time Data Processing at Edge, Distributed Computing for IoT, Resource Management in Edge/Fog |
| 22OE32XX | Open Elective - II | Open Elective | 3 | General topics based on chosen elective, Cross-disciplinary knowledge, Skill enhancement, Emerging technologies, Interdisciplinary applications |
| 22PE32A1 | Mobile Application Development for IoT | Program Elective | 3 | Android/iOS Development Fundamentals, API Integration for IoT Devices, Mobile UI/UX Design Principles, Device Communication Protocols, Cloud Integration for Mobile IoT Apps |
| 22PE32A2 | Industrial IoT | Program Elective | 3 | Industry 4.0 Concepts, SCADA and PLC Systems, Industrial Sensors and Networks, Predictive Maintenance, Digital Twin Technology |
| 22PE32A3 | Machine Learning for IoT | Program Elective | 3 | Supervised Learning Algorithms, Unsupervised Learning Algorithms, IoT Data Preprocessing and Feature Engineering, Model Deployment on Edge Devices, Anomaly Detection in IoT Data |
| 22PE32A4 | Natural Language Processing | Program Elective | 3 | Text Preprocessing, N-grams and Language Models, Semantic Analysis, Machine Translation, Sentiment Analysis |
| 22CS3203 | Artificial Intelligence Lab | Lab | 1.5 | Python for AI Programming, Implementing Search Algorithms, Building Expert Systems, Machine Learning Libraries (e.g., Scikit-learn), Natural Language Processing Basics |
| 22IO3203 | IoT Analytics and Visualization Lab | Lab | 1.5 | IoT Data Streaming and Collection, Real-time Analytics Implementation, Dashboard Creation for IoT Data, Data Modeling and Prediction, Predictive Maintenance Applications |
| 22IO3204 | Industrial Training / Internship (4 Weeks) | Internship | 2 | Industrial Exposure, Practical Skill Application, Project Implementation in Industry, Technical Report Writing, Professional Networking |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IO4101 | Blockchain for IoT | Core | 3 | Blockchain Fundamentals, Distributed Ledger Technology, Smart Contracts, Blockchain in IoT Applications, Decentralized Applications (DApps) |
| 22IO4102 | Cyber Physical Systems | Core | 3 | CPS Architecture and Design, Modeling Cyber Physical Systems, Sensor Networks and Control, Real-time Embedded Systems, Safety and Security in CPS |
| 22OE41XX | Open Elective - III | Open Elective | 3 | General topics based on chosen elective, Cross-disciplinary knowledge, Skill enhancement, Emerging technologies, Interdisciplinary applications |
| 22PE41A1 | Robotic Process Automation | Program Elective | 3 | RPA Fundamentals, Process Discovery and Analysis, Bot Development, UI Automation Techniques, RPA Tools and Platforms |
| 22PE41A2 | Smart Cities and IoT | Program Elective | 3 | Urban Sensing and Data Collection, Smart Grids and Energy Management, Smart Transportation Systems, Waste Management Solutions, Public Safety and Security |
| 22PE41A3 | Deep Learning | Program Elective | 3 | Neural Networks Basics, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Architectures, Deep Learning Frameworks (TensorFlow, PyTorch) |
| 22PE41A4 | Quantum Computing | Program Elective | 3 | Quantum Mechanics Fundamentals, Qubits and Superposition, Quantum Gates and Circuits, Quantum Algorithms, Quantum Cryptography |
| 22PR4101 | Project Work - I | Project | 6 | Problem Identification and Scoping, Literature Survey, Design and Prototyping, Module Development and Integration, Project Documentation |
| 22IO4103 | Blockchain for IoT Lab | Lab | 1.5 | Smart Contract Development (Solidity), Decentralized Application (DApp) Implementation, Blockchain Network Setup (e.g., Ganache), IoT Device Integration with Blockchain, Security Audits for Blockchain-IoT Systems |
| 22IO4104 | Cyber Physical Systems Lab | Lab | 1.5 | Embedded System Programming, Sensor and Actuator Integration, Real-time Data Processing, Control System Design, System Simulation and Testing |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IO4201 | Entrepreneurship | Core | 3 | Entrepreneurial Mindset, Business Plan Development, Startup Ecosystem in India, Funding Strategies and Pitching, Marketing and Sales for Startups |
| 22OE42XX | Open Elective - IV | Open Elective | 3 | General topics based on chosen elective, Cross-disciplinary knowledge, Skill enhancement, Emerging technologies, Interdisciplinary applications |
| 22PE42A1 | Cognitive IoT | Program Elective | 3 | Cognitive Architectures in IoT, AI Integration in IoT Devices, Context Awareness and Reasoning, Human-IoT Interaction, Decision Making Systems |
| 22PE42A2 | Human-Computer Interaction for IoT | Program Elective | 3 | UX/UI Design for IoT, Interaction Models and Principles, Usability Testing, Voice User Interfaces, Augmented Reality in IoT |
| 22PE42A3 | Embedded Systems for IoT | Program Elective | 3 | Embedded Processors (ARM, RISC-V), Real-time Operating Systems (RTOS), Device Drivers Development, Firmware Programming, Power Management Techniques |
| 22PE42A4 | Virtual and Augmented Reality | Program Elective | 3 | VR/AR Hardware and Software, 3D Modeling and Animation, Interactive Environment Design, Immersion and Presence, Applications in Training and Simulation |
| 22PR4201 | Project Work - II | Project | 10 | Advanced System Design and Implementation, Testing and Validation, Performance Analysis and Optimization, Final Report Preparation, Project Presentation and Demonstration |
| 22HS4201 | Capstone Project / Start-up Prototype | Project | 4 | Innovative Idea Generation, Prototype Development, Business Model Canvas, Market Validation, Pitching to Investors |
