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B-TECH in Iot at CHRIST (Deemed to be University)
Bengaluru, Karnataka
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About the Specialization
What is IoT at CHRIST (Deemed to be University) Bengaluru?
This B.Tech. Computer Science and Engineering (Internet of Things) program at CHRIST (Deemed to be University) focuses on equipping students with interdisciplinary skills in hardware, software, and connectivity to design and develop smart systems. Given India''''s rapid digital transformation and "Smart City" initiatives, this specialization addresses the growing industry demand for professionals capable of creating interconnected solutions across various sectors. The program emphasizes a blend of theoretical knowledge and practical applications, preparing graduates for real-world challenges in the evolving IoT landscape.
Who Should Apply?
This program is ideal for aspiring engineers with a strong foundation in Physics, Chemistry, and Mathematics (PCM) and a keen interest in embedded systems, networking, and data analytics. Fresh graduates eager to enter the high-growth IoT sector, as well as students passionate about innovation in smart technologies for domains like healthcare, agriculture, and manufacturing, will find this curriculum particularly beneficial. It suits those who enjoy problem-solving and hands-on project work and want to contribute to India''''s digital future.
Why Choose This Course?
Graduates of this program can expect diverse career paths as IoT Solution Architects, Embedded Systems Engineers, Data Scientists for IoT, Cloud Engineers (IoT), and Cybersecurity Specialists in the IoT domain within India. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more (INR 10-25+ LPA), reflecting the niche demand. The comprehensive curriculum prepares students for roles in both Indian startups and multinational corporations, contributing to India''''s digital economy and addressing the need for skilled IoT professionals.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Logic- (Semester 1-2)
Dedicate significant time to mastering Python and C++ programming, focusing on data structures, algorithms, and object-oriented principles. Regularly solve coding challenges to build strong logical thinking, which is crucial for embedded systems and IoT device logic. Consistent practice is key to developing robust problem-solving skills.
Tools & Resources
HackerRank, LeetCode, CodeChef, GeeksforGeeks, Official Python and C++ documentation
Career Connection
A solid programming base is fundamental for any software or embedded role in IoT, making you proficient in developing device firmware, cloud logic, and data processing scripts, essential for internships and entry-level positions in Indian tech companies.
Build a Strong Engineering Science Core- (Semester 1-2)
Pay close attention to subjects like Basic Electrical Engineering, Electronic Devices and Circuits, and Engineering Physics. These form the bedrock for understanding IoT hardware, sensor interfacing, and wireless communication, often neglected in pure software tracks. Utilize labs effectively to gain hands-on experience with circuits and components.
Tools & Resources
NPTEL online courses, Coursera/edX for electronics fundamentals, Simulation software (e.g., LTspice, Proteus), Basic electronics kits
Career Connection
This foundation distinguishes IoT engineers, enabling them to understand the full stack from physical devices to cloud, crucial for roles in hardware design, sensor integration, and system architecture within both startups and established firms.
Engage in Peer Learning and Soft Skills Development- (Semester 1-2)
Form study groups to discuss complex topics, prepare for exams, and collaboratively solve problems. Actively participate in the ''''Professional Skills and Development'''' course to enhance communication, teamwork, and presentation abilities, vital for future project collaborations and interviews in a professional setting.
Tools & Resources
College technical and non-technical clubs, Peer-led workshops and seminars, Toastmasters International (if available)
Career Connection
Strong soft skills, combined with technical knowledge, are highly valued by recruiters for team-based projects and client interactions in the Indian IT and engineering sectors, improving your overall employability and career progression.
Intermediate Stage
Deep Dive into IoT Core and Embedded Systems- (Semester 3-5)
Focus intensely on ''''Introduction to IoT'''', ''''IoT Architecture and Protocols'''', and ''''Embedded Systems for IoT''''. Start building small-scale IoT projects using microcontrollers (Arduino, Raspberry Pi) and sensors. Experiment with different communication protocols like MQTT and CoAP to gain practical expertise.
Tools & Resources
Arduino IDE, PlatformIO, ESP32/ESP8266 development boards, Various sensors and actuators, Cloud platforms for IoT (AWS IoT Core, Azure IoT Hub - free tiers)
Career Connection
Practical expertise in embedded systems and IoT communication is the heart of an IoT engineer''''s profile, directly applicable to roles involving device development, firmware programming, and edge computing in the Indian IoT industry.
Participate in Hackathons and Technical Competitions- (Semester 3-5)
Actively seek out and participate in IoT-focused hackathons, coding contests, and technical project competitions (e.g., Smart India Hackathon). These provide invaluable experience in rapid prototyping, teamwork under pressure, and applying theoretical knowledge to real-world problems, fostering innovation.
Tools & Resources
Online platforms for competition listings (e.g., Devfolio), College innovation cells and entrepreneurship forums, Local industry events and tech conferences
Career Connection
Such participation demonstrates problem-solving ability, innovation, and practical skills, making your resume stand out to recruiters and often leading to pre-placement offers or internships in competitive Indian tech markets.
Network with Professionals and Explore Internships- (Semester 4-5)
Attend industry seminars, workshops, and guest lectures by IoT experts. Use platforms like LinkedIn to connect with IoT professionals and researchers, building your professional network. Start actively searching for summer internships (after 4th or 5th semester) in IoT companies or relevant departments of larger tech firms.
Tools & Resources
LinkedIn, College career services portal, Industry conferences and meetups, Alumni network platforms
Career Connection
Networking opens doors to mentorship, industry insights, and crucial internship opportunities that are often prerequisites for full-time employment in top technology companies across India, providing a significant career advantage.
Advanced Stage
Undertake Significant Projects and Research- (Semester 7-8)
Leverage the Minor and Major Project opportunities to build a comprehensive, impactful IoT solution. Focus on incorporating advanced concepts like AI/ML at the edge, blockchain for IoT security, or specialized wireless sensor networks. Consider publishing a research paper if your project yields novel results, showcasing deep expertise.
Tools & Resources
Advanced IoT development kits, Cloud AI/ML services (e.g., Google Cloud AI Platform), Research databases (IEEE Xplore, ACM Digital Library), Academic mentors and faculty guidance
Career Connection
A robust major project serves as your portfolio, showcasing your ability to design, develop, and deploy complex IoT systems, significantly boosting your employability for advanced R&D, solution architect, or specialized engineering roles.
Strategic Elective Choices and Skill Specialization- (Semester 6-8)
Carefully choose program and open electives (e.g., Big Data Analytics, Cyber Physical Systems, AI for IoT, Blockchain Technologies) that align with your career aspirations and emerging industry trends. Gain specialized skills in areas like data privacy, blockchain, or industrial IoT, becoming an expert in a niche domain. Pursue relevant certifications.
Tools & Resources
MOOCs for specialized certifications (Coursera, edX, NPTEL), Advanced textbooks and research papers, Industry reports and market analysis
Career Connection
Specialization makes you a more targeted and valuable candidate for specific roles in the fast-evolving IoT market, enabling you to command better compensation and accelerate career growth in high-demand areas within Indian and global companies.
Intensive Placement Preparation and Industry Readiness- (Semester 7-8)
Prepare rigorously for placements by practicing technical interview questions (DSA, OS, CN, IoT core), aptitude tests, and mock interviews. Refine your resume, highlight projects and internships, and develop strong communication skills for group discussions. Focus on understanding current industry trends and company-specific requirements.
Tools & Resources
College placement cells, Online interview preparation platforms (e.g., InterviewBit, LeetCode), Company-specific preparation materials, Mock interview sessions with alumni or faculty
Career Connection
Thorough preparation is paramount to securing desired roles in leading tech companies or IoT startups, ensuring a smooth transition from academia to a professional engineering career in India, and achieving optimal placement outcomes.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 with a minimum of 50% aggregate marks in Physics, Chemistry, and Mathematics (PCM) from any recognised Board in India (ISC/CBSE/NIOS/State Boards) or an equivalent examination. The candidates should be 18 years of age by December 31, 2024 (for 2024 admissions).
Duration: 8 semesters / 4 years
Credits: 175 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CEG131 | Introduction to Engineering Graphics | Core | 3 | Introduction to Engineering Graphics, Orthographic Projections, Projections of Points, Lines and Planes, Projections of Solids and Section of Solids, Development of Surfaces, Isometric Projections |
| CSL131 | Problem Solving and Python Programming | Core | 4 | Problem Solving Techniques, Python Programming Fundamentals, Data Types and Operators, Control Flow, Functions and Modules, Data Structures (Lists, Tuples, Dictionaries, Sets), File Handling and Exception Handling |
| CYT131 | Environmental Science | Core | 2 | Multidisciplinary Nature of Environmental Studies, Ecosystems and Natural Resources, Biodiversity and its Conservation, Environmental Pollution and Management, Social Issues and the Environment, Human Population and Environment |
| EET131 | Basic Electrical Engineering | Core | 3 | DC Circuits and Circuit Laws, AC Fundamentals and Single-Phase Circuits, Three-Phase Circuits, Transformers, DC Machines (Generators and Motors), AC Machines (Induction and Synchronous Motors) |
| EST131 | Engineering Mechanics | Core | 3 | Introduction to Engineering Mechanics, Force Systems and Equilibrium, Friction, Moment of Inertia, Kinematics of Particles, Kinetics of Particles (Newton''''s Laws, Work-Energy, Impulse-Momentum) |
| HUL131 | Communicative English | Core | 2 | Introduction to Communication, Listening Skills, Speaking Skills, Reading Skills, Writing Skills, Presentation Skills and Group Discussion |
| HUL132 | Value Education | Mandatory (Non-Credit) | 0 | |
| MAT131 | Engineering Mathematics I | Core | 4 | Differential Calculus, Integral Calculus and Applications, Multivariable Calculus, Vector Calculus, First Order Differential Equations, Higher Order Linear Differential Equations |
| PHL131 | Engineering Physics | Core | 3 | Quantum Mechanics and Statistical Physics, Crystal Physics and X-ray Diffraction, Lasers and Fiber Optics, Dielectrics and Superconductors, Nano Materials, Nuclear Energy and its Applications |
| PHY132 | Engineering Physics Laboratory | Lab | 1 | Experiments on Optical Phenomena, Experiments on Electrical and Magnetic Properties, Experiments on Semiconductor Devices, Experiments on Modern Physics Concepts |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CHL231 | Engineering Chemistry | Core | 3 | Electrochemistry and Batteries, Corrosion and its Control, Water Treatment Technology, Fuels and Combustion, Polymer Chemistry, Nanomaterials and Smart Materials |
| CSL231 | Data Structures and Algorithms | Core | 4 | Introduction to Data Structures, Arrays, Linked Lists, Stacks and Queues, Trees (Binary, AVL, B-Trees), Graphs (Traversal, Shortest Path), Sorting and Searching Algorithms |
| CYL231 | Environmental Science Laboratory | Lab | 1 | Water Quality Analysis, Soil Analysis, Air Pollution Monitoring, Waste Management Techniques |
| ECG231 | Electronic Devices and Circuits | Core | 3 | Semiconductor Diodes and Rectifiers, Bipolar Junction Transistors (BJTs), Field-Effect Transistors (FETs), Transistor Biasing and Amplifiers, Operational Amplifiers (Op-Amps), Feedback Amplifiers and Oscillators |
| EGL231 | Analog and Digital Electronics Laboratory | Lab | 1 | Diode Characteristics and Applications, Transistor Amplifier Design, Op-Amp Applications, Basic Logic Gates and Boolean Algebra, Combinational Logic Circuits, Sequential Logic Circuits |
| HUL232 | Indian Constitution | Mandatory (Non-Credit) | 0 | |
| MAT231 | Engineering Mathematics II | Core | 4 | Matrices and Determinants, Vector Spaces and Linear Transformations, Laplace Transforms, Fourier Series and Transforms, Probability Theory, Random Variables and Distributions |
| MGL231 | Professional Skills and Development | Core | 2 | Personality Development, Goal Setting and Time Management, Team Work and Leadership, Interview Skills and Resume Building, Public Speaking and Presentation Skills, Interpersonal Communication |
| MEL231 | Basic Mechanical Engineering | Core | 3 | Thermodynamics Fundamentals, Power Plant Engineering, Refrigeration and Air Conditioning, Manufacturing Processes, Internal Combustion Engines, Engineering Materials |
| PYT232 | Problem Solving and Python Programming Laboratory | Lab | 1 | Python Basics and Control Flow, Functions and Modules in Python, Data Structures Implementation, File Handling and Exception Handling |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSL331 | Object Oriented Programming with C++ | Core | 4 | OOP Concepts and Principles, Classes and Objects, Inheritance and Polymorphism, Operator Overloading, Exception Handling, Templates and STL |
| CSL332 | Digital Logic Design | Core | 4 | Boolean Algebra and Logic Gates, Combinational Logic Design, Sequential Logic Design (Flip-Flops, Registers), Counters and State Machines, Memory and Programmable Logic Devices, Hardware Description Languages (HDL) |
| CSL333 | Database Management Systems | Core | 4 | Database System Concepts and Architecture, ER Model and Relational Model, Relational Algebra and Calculus, Structured Query Language (SQL), Normalization, Transaction Management and Concurrency Control |
| CSL334 | Computer Organization and Architecture | Core | 4 | Basic Computer Structure and Functions, CPU Organization and Instruction Set, Memory Organization and Hierarchy, Input/Output Organization, Pipelining and Parallel Processing, Control Unit Design |
| CSL335 | Digital Logic Design Laboratory | Lab | 1 | Implementation of Logic Gates, Design of Combinational Circuits, Design of Sequential Circuits (Flip-Flops, Counters), Usage of HDL for Digital Design |
| CSL336 | Object Oriented Programming with C++ Laboratory | Lab | 1 | Implementation of Classes and Objects, Inheritance and Polymorphism Exercises, File Handling and Exception Handling, Template Programming |
| ECS331 | Signals and Systems | Core | 3 | Introduction to Signals and Systems, Fourier Series and Fourier Transform, Laplace Transform, Z-Transform, Sampling Theorem, System Analysis in Time and Frequency Domain |
| MAT331 | Engineering Mathematics III | Core | 4 | Partial Differential Equations, Numerical Methods, Integral Transforms, Statistical Methods, Complex Integration, Special Functions |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSL431 | Operating Systems | Core | 4 | Operating System Structures, Process Management and Scheduling, Inter-process Communication and Synchronization, Deadlocks, Memory Management, File Systems and I/O Systems |
| CSL432 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness and Approximation Algorithms |
| CSL433 | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Physical Layer and Data Link Layer, Network Layer Protocols (IP, Routing), Transport Layer Protocols (TCP, UDP), Application Layer Protocols (HTTP, DNS), Network Security Fundamentals |
| CSL434 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars and Pushdown Automata, Turing Machines, Decidability and Undecidability, Complexity Classes (P, NP) |
| CSL435 | Operating Systems Laboratory | Lab | 1 | Shell Scripting, Process Management System Calls, Inter-process Communication, CPU Scheduling Algorithms, Memory Allocation Algorithms |
| CSL436 | Data Structures and Algorithms Laboratory | Lab | 1 | Implementation of Linear Data Structures, Implementation of Non-Linear Data Structures, Sorting and Searching Algorithms, Graph Algorithms Implementation |
| CSL437 | Database Management Systems Laboratory | Lab | 1 | SQL Commands (DDL, DML, DCL), Database Creation and Manipulation, Joins and Subqueries, PL/SQL Programming, Transaction Management |
| IOL431 | Introduction to IoT | Core | 4 | IoT Fundamentals and Characteristics, IoT Architecture and Design Principles, IoT Enabling Technologies, IoT Devices, Gateways, and Sensors, IoT Communication Protocols, IoT Applications and Use Cases |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSL531 | Web Technologies | Core | 4 | HTML5 and CSS3, JavaScript Fundamentals, Client-Side and Server-Side Scripting, XML and AJAX, Web Servers and Web Services, Web Security Fundamentals |
| HUL531 | Research Methodology | Mandatory (Non-Credit) | 0 | |
| IOL531 | IoT Architecture and Protocols | Core | 4 | IoT Reference Architecture, IoT Protocol Stack, MAC Layer Protocols (IEEE 802.15.4), Network Layer Protocols (6LoWPAN, RPL), Transport Layer Protocols (TCP, UDP, CoAP), Application Layer Protocols (MQTT, CoAP, HTTP) |
| IOL532 | Embedded Systems for IoT | Core | 4 | Microcontrollers and Microprocessors, Embedded System Design, Sensors, Actuators, and Interfacing, Real-Time Operating Systems (RTOS), Embedded C Programming, IoT Device Development Platforms |
| IOL533 | Cloud Computing for IoT | Core | 4 | Cloud Computing Fundamentals, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Cloud Platforms for IoT (AWS IoT, Azure IoT), Edge and Fog Computing, Cloud Storage and Data Management |
| IOL534 | IoT Programming and Analytics | Core | 4 | Python for IoT Development, Data Acquisition and Preprocessing, Data Visualization for IoT, Machine Learning Algorithms for IoT, Time Series Analysis, Big Data Analytics in IoT |
| IOL535 | IoT Laboratory | Lab | 1 | IoT Device Interfacing with Sensors/Actuators, Implementation of IoT Communication Protocols, Data Collection and Cloud Upload, IoT Application Development |
| IOL536 | Embedded Systems Laboratory | Lab | 1 | Microcontroller Programming (Arduino/ESP), Sensor and Actuator Interfacing, Interfacing Communication Modules (Wi-Fi, Bluetooth), Real-Time Operating System Concepts |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB671 | Big Data Analytics | Elective | 3 | |
| CSB672 | Advanced Computer Architecture | Elective | 3 | |
| CSB673 | Web Mining | Elective | 3 | |
| CSB674 | Soft Computing | Elective | 3 | |
| CSB675 | Blockchain Technology | Elective | 3 | |
| CSB676 | Image Processing | Elective | 3 | |
| CSB677 | Game Theory | Elective | 3 | |
| CSB678 | Mobile Application Development | Elective | 3 | |
| CSB681 | Entrepreneurship Development | Elective | 3 | |
| CSB682 | Financial Management | Elective | 3 | |
| CSB683 | Marketing Management | Elective | 3 | |
| CSB684 | Human Resource Management | Elective | 3 | |
| CSB685 | Operations Management | Elective | 3 | |
| CSB686 | Organizational Behavior | Elective | 3 | |
| IOL631 | Wireless Sensor Networks | Core | 4 | WSN Architecture and Applications, Sensor Node Hardware and Software, Communication Protocols (Zigbee, LoRa, BLE), Routing Protocols in WSN, Localization and Time Synchronization, Security and QoS in WSN |
| IOL632 | AI and Machine Learning for IoT | Core | 4 | Introduction to AI and ML, Supervised Learning for IoT Data, Unsupervised Learning for IoT Data, Deep Learning Architectures for IoT, Reinforcement Learning in IoT, Edge AI and Cloud ML for IoT |
| IOL633 | IoT Security and Privacy | Core | 4 | IoT Security Threats and Vulnerabilities, IoT Attack Vectors and Countermeasures, Cryptographic Protocols for IoT, Access Control and Authentication in IoT, Data Privacy and Anonymization Techniques, Blockchain for IoT Security |
| IOL634 | IoT Project and Seminar | Project/Seminar | 1 | IoT Project Proposal Development, Literature Review and Problem Definition, Project Design and Planning, Technical Report Writing, Presentation Skills, Viva-Voce Preparation |
| IOL635 | Wireless Sensor Networks Laboratory | Lab | 1 | WSN Node Deployment and Configuration, Sensor Data Collection and Transmission, Implementation of WSN Routing Protocols, Power Management in WSN, Network Simulation using Tools (e.g., Contiki, Cooja) |
| IOL636 | AI and Machine Learning for IoT Laboratory | Lab | 1 | IoT Data Preprocessing and Feature Engineering, Implementation of ML Algorithms for Anomaly Detection, Predictive Modeling for IoT Data, Deep Learning for IoT Applications, Deployment of ML Models on Edge Devices |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB771 | Augmented Reality and Virtual Reality | Elective | 3 | |
| CSB772 | Deep Learning | Elective | 3 | |
| CSB773 | Human Computer Interaction | Elective | 3 | |
| CSB774 | Quantum Computing | Elective | 3 | |
| CSB775 | GPU Computing | Elective | 3 | |
| CSB776 | Natural Language Processing | Elective | 3 | |
| CSB777 | Social Network Analysis | Elective | 3 | |
| CSB778 | Digital Forensics | Elective | 3 | |
| CSB781 | Intellectual Property Rights | Elective | 3 | |
| CSB782 | Legal Aspects of Business | Elective | 3 | |
| CSB783 | Foreign Language I (German) | Elective | 3 | |
| CSB784 | Foreign Language I (French) | Elective | 3 | |
| CSB785 | Digital Marketing | Elective | 3 | |
| CSB786 | Global Business Environment | Elective | 3 | |
| CSB787 | Design Thinking | Elective | 3 | |
| IOL731 | Advanced IoT Systems | Core | 4 | Industrial IoT (IIoT), Smart City Applications, Healthcare IoT and Wearables, Automotive IoT and V2X Communication, Smart Agriculture and Environmental Monitoring, IoT Platforms and Ecosystems |
| IOL732 | Distributed Ledger Technology for IoT | Core | 4 | Blockchain Fundamentals and Cryptography, Consensus Mechanisms, Smart Contracts and DApps, Ethereum and Hyperledger Platforms, Integration of DLT with IoT, Security and Scalability Challenges in DLT for IoT |
| IOL733 | Minor Project | Project | 4 | Problem Identification and Scope Definition, System Design and Architecture, Implementation and Testing, Project Report Writing, Presentation and Demonstration |
| IOL734 | Internship | Internship | 5 | Industry Exposure and Practical Learning, Application of Theoretical Knowledge, Professional Skill Development, Report Submission and Presentation, Networking with Industry Professionals |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB871 | Cyber Physical Systems | Elective | 3 | |
| CSB872 | Security and Privacy | Elective | 3 | |
| CSB873 | Humanoid Robotics | Elective | 3 | |
| CSB874 | Software Defined Networks | Elective | 3 | |
| CSB875 | Distributed Computing | Elective | 3 | |
| CSB876 | Mobile Computing | Elective | 3 | |
| CSB877 | Bioinformatics | Elective | 3 | |
| CSB878 | Pattern Recognition | Elective | 3 | |
| CSB891 | Digital Image Processing for IoT | Elective | 3 | |
| CSB892 | Internet of Robotic Things | Elective | 3 | |
| CSB893 | Fog Computing for IoT | Elective | 3 | |
| CSB894 | IoT for Smart Healthcare | Elective | 3 | |
| CSB895 | IoT in Smart Grid | Elective | 3 | |
| CSB896 | Wearable Technology for IoT | Elective | 3 | |
| CSB897 | Data Visualization for IoT | Elective | 3 | |
| IOL831 | Major Project | Project | 9 | Comprehensive System Design and Development, Advanced Problem Solving and Innovation, Extensive Implementation and Testing, Thesis Writing and Documentation, Demonstration and Viva-Voce |
