Introduction to the IoT Cross-Disciplinary PBL Program:

▲Instructor for the IoT Cross-Disciplinary PBL Program: Assistant Professor Lin Xue-Yi from the Department of Information and Network Engineering. His areas of expertise include image processing, computer vision, and deep learning.

▲Instructor for the IoT Cross-Disciplinary PBL Program: Assistant Professor Chen Di-Hong from the Department of Information and Network Engineering. His areas of expertise include machine learning, intelligent systems, and embedded system design.

▲Instructor for the IoT Cross-Disciplinary PBL Program: Professor Yeh Ming-Feng from the Department of Electrical Engineering. His office is located at F412B-III. His research areas include artificial intelligence, automatic control, and intelligent systems.

▲Instructor for the IoT Cross-Disciplinary PBL Program: Professor Yeh Ming-Feng from the Department of Electrical Engineering. His research focuses on applications of Smart Internet of Things (AIoT).

▲Instructor for the IoT Cross-Disciplinary PBL Program: Assistant Professor Chen Yan-Da from the Department of Information and Network Engineering. His areas of expertise include the Internet of Things (IoT), wireless local area networks (WLAN), and wireless sensor networks (WSN).

▲Instructor for the IoT Cross-Disciplinary PBL Program: Associate Professor Cai Hua-Wen from the Department of Information and Network Engineering. His areas of expertise include wireless communication networks, sensor networks, and the Internet of Things (IoT).

▲The PBL (Internet of Things) Cross-Disciplinary Program is aimed at first-year students in the Day Division of the four-year undergraduate program. Applicants are required to complete an application form and submit it to the department office. After review by the committee, the list of accepted students will be announced before the third week. Each project group consists of 3 to 7 students, and each group will have one or two project advisors (co-advisors).

▲The teaching method for the PBL (Internet of Things) Cross-Disciplinary Program involves project advisors from each group jointly offering an independent learning course each semester (1 credit, with a standard of 3 hours per week). The course content may include lectures, master classes, events, experiments, workshops, and digital learning, etc.