5B10 – Sensor, Embedded and Control Systems

This module introduces the fundamentals of sensing technologies and their integration within embedded and control systems. Students will explore various types of sensors, methods of electronic interfacing and data processing, and the application of AI and machine learning techniques for intelligent sensing and decision-making.

Core Topics

• Sensor Fundamentals: Principles and examples of physical, chemical, and optical sensor technologies and their applications.
• Sensor Interfacing and Data Processing: Electronic interfacing, data collection, and processing methods.
• AI and Machine Learning in Sensing: Introduction to AI- and machine learning-based methods for feature extraction, data analysis, and classification.

Practical Design and Application
Students will design, develop, and test a sensor device, applying the knowledge gained in a practical use-case scenario that demonstrates real-world sensing and control system functionality.

Learning Outcomes
By the end of this module, you will:

• Understand the fundamentals of physical, chemical, and optical sensor technologies.
• Be able to interface sensors and process their data effectively.
• Apply AI and machine learning techniques for feature extraction, analysis, and classification.
• Gain hands-on experience in developing and testing a sensor device for a practical application scenario.