授業科目名				担当教員
コンピュータ理工学特別講義IV (本年度非開講)				藤代　一成
時間割番号	単位数	コース	履修年次	期別	曜日	時限
GTK612	1	(未登録)	1	後期	月	II
［概要と目標］
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 providing the summary of Advanced Topics in Computer Science and Engineering II, fundamentals of structured data visualizations are focused on. Then, several emerging R&D topics are chosen to discuss the potentials of state-of-the-art computer visualization, including visual analytics, XR-based visualization, computational journalism, and computational aesthetics.。
[到達目標]
To acquire proficiency in fundamental principles and representative techniques for structured data visualization; to be acquainted with emerging R&D topics; and to be able to visualize practical datasets with standard tools such as Paraview.
［必要知識・準備］
To have the credit for Advanced Topics in Computer Science and Engineering II
［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 class) 　　Semester Report: 50% (Visualizing practical datasets)
［教科書］
Handout will be distributed every week though the intranet.
［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., AK Peters/CRC Press M. Nakajima and I. Fujishiro, Computer Visualization (in Japanese), Kyoritsu-Syuppan
［講義項目］
1) Summary of course II and orientation 2) Visualizing vector fields 3) Visualizing tensor fields 4) Fundamentals of information visualization 5) Introduction to visual analytics 6) XR-based visualization: Juxtaposition and multi-modality 7) Computational journalism 8) Computational aesthetics