Internet of Things

In the field of Internet of Things (IoT) at Paris Metropolitan University, students will learn about the integration of physical devices, sensors, and actuators with internet connectivity to enable data exchange and automation. They can expect to gain knowledge in IoT architecture, communication protocols, data analytics, and security considerations.

By the end of the program, students can expect to possess the skills and knowledge required to design and implement IoT solutions, contribute to smart systems and connected environments, and drive innovation in various sectors such as healthcare, transportation, agriculture, and smart cities.

This curriculum provides a comprehensive understanding of Internet of Things (IoT) concepts, technologies, and applications. Students will gain hands-on experience through practical projects involving sensor integration, communication protocols, data analytics, and application development. By the end of the program, students will be equipped with the skills to design, develop, and deploy IoT solutions, leverage data for actionable insights, and contribute to the advancement of connected ecosystems. Graduates can pursue careers as IoT engineers, IoT architects, data analysts, or entrepreneurs in the IoT domain.

Course information

  1. Educational Background: Possess a high school diploma or its equivalent. Prior coursework or experience in mathematics or computer science may be advantageous but is not mandatory.
  2. Language Proficiency: Demonstrate proficiency in the English language, as the course may be delivered in English. Applicants may need to provide evidence of their English language skills, such as a valid English proficiency test score.
  3. Application Form: Complete the university’s application form, providing personal and educational information.
  4. Statement of Purpose: Submit a statement of purpose explaining their motivations, career goals, and expectations from the program. This statement helps the admissions committee assess the applicant’s alignment with the program’s objectives.
  5. Identification Documentation: Submit a clear copy of their ID or passport to verify their identity.
  6.  
  1. Coursework: Attend and actively participate in all modules and classes, demonstrating a commitment to learning and a solid understanding of the subject matter.
  2. Assignments and Projects: Complete assignments, projects, and assessments assigned during the course, showcasing the application of knowledge and practical skills.
  3. Examinations: Successfully pass any required examinations or assessments that are part of the course evaluation.
  4. Capstone Project: Successfully complete the final project-based learning module, which involves building a software application or system. This project serves as a culmination of the skills and knowledge acquired during the program.
  5. Attendance: Maintain satisfactory attendance and participation in classes and activities throughout the course duration.
  6.  

Module 1:

  • Introduction to Internet of Things: Concepts, Applications, and Market Trends
  • Basics of Electronics and Sensors: Types, Working Principles, and Interfacing
  • Communication Protocols for IoT: MQTT, CoAP, HTTP, and WebSocket

Module 2:

  • IoT Architecture and Platforms: Cloud Computing, Edge Computing, and IoT Platforms
  • Data Collection and Management: Sensor Data Acquisition, Storage, and Retrieval
  • IoT Security: Threats, Authentication, Encryption, and Secure Communication

Module 3:

  • Wireless Communication Technologies: Wi-Fi, Bluetooth, Zigbee, and LoRaWAN
  • IoT Device Programming: Microcontrollers, Arduino, and Raspberry Pi
  • Data Analytics for IoT: Data Processing, Visualization, and Real-time Analytics

Module 4:

  • IoT Networking and Protocols: IPv6, 6LoWPAN, and Network Topologies
  • IoT Application Development: Mobile Apps, Web Interfaces, and Dashboards
  • Edge Computing and Fog Computing for IoT

Module 5:

  • IoT Data Streams and Stream Processing
  • Machine Learning for IoT: Predictive Analytics, Anomaly Detection, and Decision-making
  • Industrial IoT: Smart Manufacturing, Supply Chain Management, and Predictive Maintenance

Module 6:

  • IoT Integration and Interoperability: APIs, Data Exchange, and Standards
  • IoT Project Management: Planning, Execution, and Deployment
  • Capstone Project: Designing and Implementing an IoT Solution

Course Details:

  • Assessment Method: Combination of Coursework and Capstone Project
  • Program Duration: 3 months
  • Study Mode: Online
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