Keio University Graduate School Visiting Professor Takeharu Takahashi
There are science (basic science) type and engineering (applied science) type for education dealing with data.This research takes up the latter, and discusses important themes, problem solving and education for achieving the task.There is a remarkable difference (detailed at the time of announcement) between the two, but in both cases the first half is analysis (modeling) and the second half is design (optimization), adoption of simulated experience education is important.
Analysis (modeling) is divided into preliminary situations when the object is transparent (when factors, levels and structures are known) and when the object is uncertain (when factors, levels and structures are only vaguely known).A custom plan is effective for the former.On the other hand, in the latter, identification (identification) to determine factors, level and structure by performing initial experiments is indispensable, and this research proposes an identification method.After the identification, additional experiments are necessary for modeling, and the expansion plan is effective at that time.
In design (optimization), utilize mathematical programming method (solution based on constraint condition and objective function) based on model created.At this time, it is effective to use the profile function.
This research introduces the theory introduction described above and simulation experience education using other simulators as the main flight simulator, which is a virtual experiment that runs on JMP in order to learn it practically.
