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Home „ Graduate „ Engineering „ Systems Information Engineering

Systems Information Engineering

COURSES

Mathematical Analysis for Information Engineering
(Information Analysis)

Recently mathematical finance has developed according to developing of stochastic analysis and computer simulation of several economical phenomena. We are interested in not only mathematical finance but also lots of other fields such as some problems in engineering, economics, biology and so on. We treat stochastic analysis, time series analysis, fuzzy theory for modeling, and computer simulation.

Industrial & Management Systems Engineering

This research field will cover various enterprise activities, such as planning, design, production, finance and administration to create value-added products and innovative systems with reduced cost in the efficient way. Our subjects include the foundations of management techniques related to statistical analysis, marketing analysis, quality engineering, logistics, production system design and project management.

Human Media Engineering (Interactive Systems Design)

Human-centered design, based on human characteristics of perception, cognition and behavior, is crucial to build safe society and develop usable products and reliable complex systems. Main interests of Human Media Engineering laboratories are to design interactive media and systems providing us rich information through various operations. Our research fields include cognitive engineering, ergonomics, and developing novel human-computer interactions in the future society.

Networks Information Engineering (Computer Networks)

Our research subjects are as follows: control algorithms for traffic, routing, QoS of communication networks, and mobile software agents for network control. Our objective networks are ordinary telecommunication networks, internet, mobile access networks including cellar networks, wireless LAN, wireless mesh networks, MANET, and sensor networks. RFID, GPS and other various application fields are also interesting areas.

Vision Systems Engineering

The research at our lab is very interdisciplinary: we are interested in 3D displays, computer vision, mobile robotics, computer graphics, geometric modeling, simulation, visualization, machine learning, digital archive, motion capture, and human-computer interaction. We are involved in cross disciplinary collaborations with numerous local companies.

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