Mathematical Information Systems Course
I want to create the next generation of software! I want to use informatics to solve social problems!
Students will study science that explores the essence of problems ranging from elucidating natural phenomena to understanding local problems from the perspective of mathematical information systems. In particular, students will study a wide range of information science based on mathematics, which provides a logical foundation, and conduct education and research that combines information-related science and engineering.
About the Education Program
Cultivate high-level information processing skills while learning the fundamentals of information science through practical experience
From the first year to the first half of the second year, students take general education subjects, faculty and department common subjects (natural sciences) and some information subjects. Through these, students will acquire communication skills and social literacy, as well as a wide range of knowledge on natural sciences (mathematics, physics, chemistry, biology) and basic knowledge on information science. From the second half of the second year onwards, this course divides its subjects into informatics, the study of the principles and technology of handling large amounts of information in nature and society, mathematics, which is its foundation, mathematics and information/society, information fundamentals, information systems, and programming, and also includes practical exercises, and students systematically take subjects in each field. Furthermore, by studying informatics comprehensively, students will develop the ability to abstractly and logically organize and analyze large amounts of data.
Mathematical Information Systems Course
Flow of the four years
First year
General education subjects include subjects related to people and society, foreign languages, regional collaboration subjects, common natural science subjects including mathematics, physics, chemistry, and biology, and information-related subjects including information security, data science, and programming.
Second Year
Students will learn about natural sciences across disciplines through subjects such as "Material Transformation Theory," "Biomaterial Chemistry," "Vibration and Wave Theory," and "Material Science," and will also learn about information science through subjects such as "Introduction to Modern Informatics," "Probability Theory," "Statistical Data Analysis," and "Introduction to Information Systems." From the second semester, students will begin taking specialized subjects in each course.
Third Year
Continuing from the second semester of the second year, students will study specialized course subjects. They will take subjects such as "algebra," "geometry," "analysis," "signal processing," "information theory," and "programming" to acquire a wide range of specialized knowledge related to the field, and will also carry out exercises ranging from basic to applied science to integrate and utilize these knowledge.
Fourth Year
The main part of learning in the fourth year is practical, through graduation research. By applying the knowledge acquired up to that point to problems set in each field, students will make their knowledge more essential and develop their problem-solving skills.
Mathematical Information Systems Course Pickup
About the classes
Informatics PBL Seminar
By carrying out practical exercises (PBL, Problem Based Learning) in which students develop software to solve given problems, students will develop problem-solving skills while independently preparing, researching, learning, and discussing. Students will form groups, determine on their own what is needed to develop the software for the problem, gather materials, study on their own, and work together as a group to accomplish the problem.
About the Research
Research and development of more practical disaster response systems using cutting-edge technology
Since the Great East Japan Earthquake in 2011, industry, academia and government have been working together to tackle the issue of disaster resistance. ICT is expected to be used in the field of disaster resistance, but existing ICT is mainly used for data management and information transmission, and its benefits have not been fully utilized. Therefore, we aim to apply cutting-edge AI and communication technologies to research and develop more practical disaster-resistant systems. Specifically, after a disaster occurs, a wide variety of data collected from sensors and cameras is analyzed to accurately grasp the damage situation and make quick decisions such as rescue. In addition, by performing tasks without being affected by damage to network infrastructure, it becomes possible to automatically control robots, drones, etc. based on the results of calculations by AI.
Professor Dong Mian-Hsiung
Research Field
Information Network
Main research themes
Building a disaster-resistant system using ICT technology
Licenses and qualifications available
driver licence
- High school teacher's license (mathematics), etc. *Requires completion of teaching course credits
Employment situation
- iD
- Accenture
- Alpha Systems
- SEC
- NTT Data MSE
- NTT Data Hokkaido
- OKI Software
- Keyware Solutions
- KDDI
- SoftCreate Holdings
- Communication
- Tsuuken Advanced Systems
- DNP Information Systems
- Techno Lab
- Dwell
- Tohokushinsha
- Panasonic ITS
- Hitachi Information and Communication Engineering
- B.U.G. DGM Mori Seiki
- PFU
- Nippon Steel Tex Engineering
- IBM Japan Solution Services
- NEC
- Akie
- Hokkaido NS Solutions
- Hokkaido Electric Power
- Meitec
- Mobitech
- Ricoh IT Solutions
- Civil servant (Hokkaido)
- High school teacher (Hokkaido)
- Graduate school (Muroran Institute of Technology, Hokkaido University, etc.)
