授業科目名				担当教員
メカトロニクス工学特別講義II				外部講師
時間割番号	単位数	コース	履修年次	期別	曜日	時限
GTJ602	1	(未登録)	1	集中	(未登録)	(未登録)
［概要と目標］
メカトロニクス工学の関連分野において，最先端で活躍している大学・民間企業および公的機関の技術者ならびに研究者を講師に招き，最新の研究技術開発動向に関して学習する機会を設ける。本年度の概要は以下のとおりで，英語により開講する。 With the advent of HPC, WSN, and GII, digital data to be simulated, measured, and retrieved has been getting larger and more complex. The main target of this course is a computing methodology, called computer visualization, which provides insights gained through visual analysis of salient structures and behaviors embedded in such a data. After fundamental principles are surveyed, we place particular focus on representative techniques to visualize scalar fields in 2D, 3D, 3D+time, and multi-dimensions along the dedicated taxonomies. Up-to-date R&D topics are chosen to discuss the potentials of scalar data visualization, including advanced volume data mining based on differential topology and dimensional reduction schemes.
[到達目標]
To be familiar with dedicated paradigm and taxonomies; To acquire proficiency in fundamental principles and representative techniques; To be able to visualize practical datasets with standard tools such as Paraview; and To acquire familiarity with recent R&D topics of computer visualization.
［必要知識・準備］
Prerequisite includes basic knowledge about database, computer graphics, image processing, and numerical analysis.
［評価基準］
No 評価項目 割合 評価の観点 1 小テスト／レポート  100  % Short quizzes: 50% (Level of understanding the content of each c lass) , Report: 50% (Literature survey or visualizing practical datasets)
［教科書］
Handouts will be distributed.
［参考書］
NIH/NSF Visualization Research Challenge Report January 2006. NVAC: Illuminating the Path: The Research and Development Agenda for Visual Analytics, 2005. T. Munzner: Visualization Analysis and Design, AK Peters/CRC Press, 2014. M. Nakajima and I. Fujishiro (eds.): Computer Visualization (in Japanese), Kyoritsu-Syuppan, 2000.
［講義項目］
[Online classes using Zoom meeting] 1: Orientation 2: Introduction to scientific visualization 3: Visualization paradigm and taxonomy 4: Marching Squares algorithm and its disambiguation 5: Indirect/direct volume visualization 6: Topologically accentuated volume rendering 7: Advanced volume visualization based on differential topology 8: Multidimensional data visualization