Applied Information Engineering
Utilizing information and communication technology for the
fishery industry
Most of the 4th grade students of
the Applied Information Engineering Course work on the development of systems
that solve problems that exist in society as graduation research. For example,
we are developing a system "You see U-Sea" that displays information
obtained from continuous water temperature and water quality observation
devices installed in the Uwakai, which is a sea name and having subtle inlets
unique to a submerged coast and island seascapes, offering beautiful underwater
landscapes created mainly of soft corals, in the form of graphs and tables in
an easy-to-understand manner (http://akashio.jp). In addition, we collect
information for predicting the occurrence of red tide, which causes enormous
damage. When the occurrence of red tide is predicted, we will notify the fishery
industry officials using the "Uwakai Fisheries App". These systems
and apps are constantly being improved while incorporating the opinions of the fishery
industry personnel. Apps are
currently being used by many fishery industry personnel. |
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A place where you can become an ICT expert with knowledge
and wisdom and applied power
In the Society 5.0 ultra-smart society
created by information engineering such as IoT, AI, and big data, and communication
engineering, the ability to apply information and communication technology to
social issues determines its success or failure. The Applied Information
Engineering Course works on research and development to solve "the
troubles of the world" and realize "people's dreams". It is a
place where you can grow to become an engineer / researcher who has knowledge
and wisdom and works to realize your dreams. The achievements of the efforts
made by the faculty members in charge of the applied information engineering
course are highly evaluated, and not only companies in the information and
communication fields but also companies in different industries, a wide range
of industrial fields, and local governments are collaborated and collaborated
with students. Participation in the project has been very successful as a place
for learning.
The Applied Information Engineering
Course is a collaborative university of "Formation of a base for training
information technology human resources to support growth fields (second enPiT)",
and is a practice of education and development of educational methods
incorporating group activities such as Ideathon and PBL. We are working on FD
activities for the purpose of popularization.
2nd year
C programming,
Functional programming, Object-oriented programming, Automata and language
theory, Data structures and algorithms, Software engineering, Logic circuit,
Computer system I / II, Information theory, Intellectual group work exercise,
Marketing and business model, Latest ICT business / technical trend A, System
programming, Design thinking
3rd year
Web programming,
Operating system, Database, Compiler, Embedded system development basics,
Project management, Technical management, Service-oriented architecture, PBL
exercises I and II, Software engineering II
4th year
Graduation
research
Job placement
NTT West, NTT Data Shikoku, NTT Data
Chugoku, NTT Field Techno, NHK, Hiroshima Home TV, STNet, Cybows, Sharp,
Whirlpool Electric, Fujitsu FIP, Panasonic Healthcare, Hitachi Solutions West
Japan, Shikoku Hitachi Systems, Seiko Epson, Denso Ten, NEC Solution Innovator,
Miura Industry, Iyo Bank, Matsuyama City Hall, Imabari City Hall, Akashi City Hall,
Shikoku District Police Bureau, etc.
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We are developing a system "You
see U-Sea (http://akashio.jp)" that displays information obtained from
continuous water temperature and water quality observation devices installed in
the Uwakai in an easy-to-understand manner using graphs and tables. increase.
In addition, the development of the "Uwakai Fisheries App" that
collects information from fishery officials in advance to predict the occurrence
of red tide, which causes enormous damage, and informs fishery officials when
the occurrence of red tide is predicted. I am doing. These systems and apps,
which continue to be improved while incorporating the opinions of the fishery
industry personnel who will be the users, are currently used by many fishery
industry personnel. |