Experiments will be conducted on subjects specialized in the fields of electrical, electronic, information, and communication engineering. Specifically, they are focused on hardware technology and its applications in relation to information and communication sciences, including the fundamentals of digital communications, electronic circuit design, digital signal processing, and measurement and control. The purpose is to deepen understanding of the lectures on relevant subjects. The experimental topics consist of (1) digital modulation and demodulation scheme, (2) active filters using operational amplifiers, (3) digital signal processing of audio waveforms, and (4) measurement and control using neural circuit models. Both computers and measuring equipment are used in the experiments.

Using Mathematica, LaTeX, MATLAB, and OpenCV (Python, C++), students learn practical programming on mathematical formula processing, advanced document editing, numerical calculations (vector and matrix operations, scientific and technical calculations, and 3D graphic display), and image and video processing. An active learning method is used, and students autonomously acquire knowledge and information technology that are directly connected to their graduation research and practical work.

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.