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資料視覺化之理論、賞析與實作

資料視覺化是資料科學中重要的領域,尤其在現代資料巨量化的浪潮下,透過各種視覺化的呈現,能讓專業人員,快速從資料中快速判讀,發現關鍵問題。也幫助跨領域的溝通,以圖像式的方式,說明、探索與分析資料背後的意義,提昇決策的效率與品質。 這個課程濃縮了康教授在台大所開設的『資料視覺化』課程的精華,總共包含賞析、理論、設計與實作四節課程。在賞析課程中,他將解析經典的案例,從案例中培養出資料視覺設計師的眼光,懂得看到設計下面的精妙。第二節課是理論課,他將介紹心理學中相關的研究發現,解釋人類的視覺系統是怎麼接受資訊,怎麼理解資訊,這些心理學理論,都是資料視覺化的設計時,必須符合的基礎。第三節課將說明設計方法,他會具體說明如何從資料到視覺化的設計步驟,包含了解資料的維度,使用者的需求,資料的形態。並說明如何以步驟化的方式,發展好資料視覺化方法,達到解決問題的目的。課程最後,康教授將介紹他使用各類資料視覺化的工具的經驗,包含 Tableau, Processing, D3.js 等,也將展示他和他的學生所開發的實務案例。

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1991-1995
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1995-1997


2001-2005
CS448B: Visualization

2004@Stanford University
Prof. Pat Hanrahan
Visualization and Human Computer Interaction 2006, 2007 
2006-
User-Oriented Innovative Design, 2008 
Engineering Graphics, 2006- 
Robotics and Automation, 2006- 
Visualization for A/E/C, 2006- 
Conceptual Design Studio, 2011-2013 
Data Visualization, 2013-
D-School Course, 2015-

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