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Diploma in Smart Systems and the Internet of Things

 

Department of Computer Engineering and Smart Systems — Smart Systems and the Internet of Things

 

1. Program Overview:

An advanced applied specialized program extending over 12 months (290 hours of approved study load), aimed at preparing and qualifying engineers and developers of smart systems and the Internet of Things who are capable of building and integrating smart solutions from hardware and sensors to cloud computing and artificial intelligence algorithms. The program covers digital electronics, microcontrollers such as ESP32, IoT protocols and networks, cloud computing and Edge Computing, the integration of artificial intelligence and Computer Vision, IoT system security, and smart industrial applications.

2. Key Objectives:

  • Foundations in electronics and embedded systems: understanding digital circuits, working with microcontrollers (Microcontrollers & ESP32), and programming sensors and actuators (Sensors & Actuators).
  • Mastering Internet of Things networks and protocols: connecting devices using specialized communication protocols (MQTT, CoAP, HTTP, and others), and managing IoT data flows and databases.
  • Integration of cloud and edge computing (Cloud & Edge Computing): processing and analyzing data in the cloud and on edge devices to reduce response time and improve processing efficiency.
  • Integrating artificial intelligence and industrial security: applying AI algorithms and computer vision to smart systems, securing and protecting IoT devices and networks (IoT Security), and designing solutions for automation and smart industrial applications.

3. Target Audience:

  • Engineers and students in Computer Engineering, Electronics and Communications, Mechatronics, Automation, and Automatic Control.
  • Software and embedded systems developers wishing to specialize at an advanced level in Internet of Things solutions, smart cities, and smart factories.
  • Entrepreneurs and technology innovators seeking to build smart products and devices connected to the Internet.
  • Specialists in managing infrastructure for smart and industrial facilities (Industry 4.0).

4. Study Plan Modules (17 Specialized and Applied Modules):

1. Introduction to Smart Systems and the Internet of Things.

2. Electronics and Digital Circuits for Smart Systems.

3. Programming and Embedded Systems.

4. Microcontrollers and ESP32.

5. Sensors and Actuators (Sensors & Actuators).

6. Communications and IoT Protocols.

7. Internet of Things Networks (IoT Networks).

8. Databases and IoT Data Processing.

9. Cloud Computing for the Internet of Things (Cloud for IoT).

10. Edge Computing.

11. Artificial Intelligence for Smart Systems (AI for Smart Systems).

12. Computer Vision for Smart Systems (Computer Vision for IoT).

13. Internet of Things Security (IoT Security).

14. Smart Systems Design and Control.

15. IoT Systems Management and Monitoring.

16. Smart Industrial Applications (Industrial IoT & Smart Cities).

17. Applied Graduation Project.

5. Program Data and Organizational Assessment:

  • Field and subfield: Computer Engineering and Smart Systems / Smart Systems and the Internet of Things.
  • Duration and sessions: 12 months (evening period) | 90 lectures (two lectures per week, two hours per lecture = 180 direct training hours).
  • Distribution of credit hours (290 total hours):

180 hours: interactive live lectures (remote / online).

70 hours: required readings and open resources.

30 hours: chapter questions and self-assessment.

10 hours: final review and completion examination.

  • Attendance and assessment requirements: an attendance rate of no less than 75% of the live lectures, in addition to assignments and practical exercises.
  • Final project: an online assessment test (25 multiple-choice questions + 5 practical case questions), in addition to designing, building, and programming an integrated connected smart system and Internet of Things solution as a graduation project.

 

 

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