After the entrance examination has been conducted at universities, wherein multimajoring subjects (courses) are provide and more, say comparatively, applicants gather than others ; fair and unbiased selection is being operated while referring to their course, i.e. subject they are to major in, and to their exam, record so that the respective quorum (fixed number admitted) be uniformly filled or satisfied. However, cases being often experienced such fair selection therefor might not be smoothly carried on what by examinees' over-application for a specific subject (major course) and what by lack of comprehensive communication on the rule of the selection. Our analyses, tried by the principal thesis, on the status quo of the selecting operation given to the admitted applicants for the universities where at they marked their own "Second Choice" at the time of application, proved that some incompatibility between such multi-subjects principles come out. Hence, we tried to design and establish a general rule free from any incompatibility or biased phenomenon, by making full use of the guiding principle of those rules, for systematization thereof. Our pretrial exercised on the selecting operation proved, by varying the initial set value of this general rule, that the ratio of admitted applicants for "1st Choice", quorum fill-up ratio and average marks are being intentionally affected therefrom to some extent, and that the selecting operation could be quite simplified.

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This paper discusses that the idea and method of the Interpretive Structural Modeling (ISM) can well be applied to the determination of learning hierarchies or networks of instructional units. The ISM is one of structure modeling methods, applied to the social system modeling. When the number of instructional units is relatively small and the network is relatively simple, it is easy for teacters to construct the network digraph of instructional units. But when the number of units is large (say 20 or more) and the network is very complicated, it is very hard for them to do it by the traditional method. So, the ISM method is applied to the problem. We can easly get the hierarchical network constructed automatically, for we have only to ponder and decide what the immediate prerequisite or prerequisites of each unit are. The ISM method is very useful and convenient to determine learning hierarchies or networks of instructional units efficiently.

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