Intelligence Science

When asked, “What do you think intelligence is?” many students respond with answers such as “the ability to think in order to solve problems” or “the ability to create new things. At the same time, they consider the implementation of such functions on a computer to be artificial intelligence. However, this only describes a very limited aspect of “intelligence. Furthermore, the brain itself, which controls the core of human “intelligence,” is nothing more than a mass of mainly glial cells and neurons, and we still do not know how “I” consciousness arises from it. In other words, although we have a concept of what “intelligence” is, we still do not fully understand the structure and mechanism of the system.

In the Intelligence Science course, four to five faculty members from the Department of Computer Science and Technology will continue to ask students what “intelligence” is over the course of half a semester, based on their respective expertise (cognitive science, brain science, pattern recognition, machine learning, etc.). As a result, students will be able to consider the meaning of “intelligence” from multiple perspectives based on their own interests and concerns throughout the course, and acquire the ability to discuss and design what “intelligence” is with others through group work. In addition, students will be able to hone their wisdom in considering the further possibilities and limitations of current artificial intelligence research.

Computer Science Experiments A

Computer Science Experiments A is one of the representative specialized courses of the Department of Computer Science and is offered in the first semester of the third year.（https://ohkilab.github.io/SU-CSexpA/）. The goal of this program is to cultivate the ability to understand and respond to various bottleneck factors from the aspect of system development by measuring and evaluating performance as well as actually building web systems that we take for granted. This is a practical experimental course designed to consolidate the knowledge and skills that students should have acquired in “Computer Networks,” “Network Programming,” “Operating Systems,” “Database Systems,” “Algorithms and Data Structures,” and other subjects they have studied up to their third year.

Computer Science Experiments C

Computer Science Experiments C is one of the required experimental courses offered in the second semester of the third year of the Department of Computer Science. Students design logic circuits on an FPGA board, which allows them to freely program electronic circuits, and eventually design, implement, and operate their own CPU, the core of a computer, by drawing on all of the computer theories and techniques they have learned so far. The objective of this course is to master the principles of computer hardware operation by designing, implementing, and operating a CPU, the core of a computer. The course also aims to help students acquire general experimental skills in preparation for graduation research, and to foster problem-solving and communication skills through teamwork in design and development. The experiments involve a large amount of work, and it is difficult to complete them smoothly even if they are designed according to the textbooks, but most of the teams have completed CPUs that meet the requirements every year. In the process, the students gain experience in facing the question, “Why does a computer work as programmed?” We hope that this will help them solidify their foundations as IT professionals.

Liberal Arts for Informatics

All Informatics students are required to take courses in Information Morals, Fundamentals of Informatics, and Information Processing. They also receive practical English instruction from native speakers and develop skills for writing academic papers.

Click here to watch a video introducing the class.