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2024年度　東京工業大学　工学院機械系大学院修士課程　入試説明会　資料

2024年度受験者に向けた大学院説明会資料です。修士課程や博士後期課程のカリキュラム、経済的支援、キャリア支援など幅広くご紹介しています。募集要項に基づき、2024夏の入試最新情報についてもまとめていますので、ぜひチェックしてみてください。なお、このスライドは説明会時点での情報を元に作成しています。出願に当たっては、必ず以下の募集要項をご確認ください。 https://www.titech.ac.jp/admissions/prospective-students/admissions/guide

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インスティテューショナル・リサーチ（以下、IR）には、高等教育に関連する広範なデータが必要である。それらを操作するためのデータベース（以下、DB）およびデータウェアハウスは、様々な部署から集められた多様なデータで構成されている。高等教育の現場では、日々の教務に柔軟に対応するべく、データベースの拡張・改変が繰り返されている。その結果、データベースが肥大化や、データの整合性を保証できなくなる問題が生じてしまうなどの困難が生じている。データ整合性を保証・保持することが肝要であり、そのようなデータベースを作る簡便な方法が求められている。数学の一分野である圏論をDBに適用した圏論的DB理論[1,2]が、仕様との整合性を保証したDB構築に良い見通しを与えている。本稿では、圏論を簡単に解説し、圏論的DB理論に則ったDBの仕様記述法（オントロジーログ）を紹介する。

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