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正體中文 
Yuan Ze University’s College of General Studies recently invited Assistant Professor Yen-An Chen from the Department of Computer Science and Engineering to offer the course “Exploring Applications of the Internet of Things and Artificial Intelligence.”
The course introduces students to the core principles of Smart Internet of Things (IoT) and Artificial Intelligence (AI), guiding them through hands-on practice to rapidly build a comprehensive technical foundation spanning hardware, programming, and AI applications. The course attracted strong participation, including many students from non-technical backgrounds, creating an enthusiastic learning atmosphere.
The course begins with Raspberry Pi environment setup. Through a step-by-step teaching approach, Assistant Professor Chen enables even students with no prior programming experience to gradually understand system architecture, command-line operations, and basic programming concepts. By learning through hands-on experimentation, students directly test device responses, transforming abstract concepts into tangible experiences and deepening their understanding.
One of the highlights of the course is the integration of sensors and actuators. Students work with components such as temperature and humidity sensors, buttons, LEDs, and buzzers to experience how IoT devices collect data, perform analysis, and provide real-time feedback. This practical exercise fully demonstrates the core concept of smart IoT—“sensing, analysis, and response”—while helping students develop foundational knowledge of circuit connections and data flow.
After students become familiar with hardware operations, the course further introduces AI applications, such as image recognition. Assistant Professor Chen demonstrates how AI models can be deployed on Raspberry Pi devices for edge computing, enabling systems to make intelligent decisions based on visual input rather than simply executing predefined commands. Students can observe recognition results in real time, making AI concepts concrete and accessible.
Assistant Professor Chen noted that the primary goal of the course is to help students understand that technological applications are the result of interdisciplinary integration rather than isolated skills. By combining circuits, programming, and AI into a cohesive learning experience, the course aims to cultivate a holistic technological perspective and prepare students with foundational capabilities for future development in areas such as smart homes, environmental monitoring, and healthcare systems.
