Students perform experiments on semiconductor devices, electronic circuits, logic operations, electrical circuits, and digital operations to gain a profound understanding of computers and communication hardware. Students are divided into groups, and those in each group work together to perform experiments, organize data, and hold discussions. After that, they add theoretical considerations and discussions to complete laboratory reports. Students can experience and learn subjects that are difficult to understand only from textbooks, by seeing with their own eyes and using their own hands.

Students learn Python, a widely used standard programming language for data science and machine learning. They make actual programs in a large computer laboratory while working on the basics of Python programming and on various exercises. In addition, by adopting active learning, programming skills are acquired effectively while the independence of students is well respected.