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National Taiwan Normal University Course Outline Spring , 2019 |
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| I.Course information |
| Serial No. | 0921 | Course Level | |
| Course Code | LSU0014 | Chinese Course Name | 資料視覺化 |
| Course Name | Data Visualization | ||
| Department | Undergraduate Program of Learning Sciences | ||
| Two/one semester | 1 | Req. / Sel. | Sel. |
| Credits | 3.0 | Lecturing hours | Lecture hours: 3 |
| Prerequisite Course | |||
| Comment | |||
| Course Description | |||
| Time / Location | Thur. 2-4 Main 84-04 | ||
| Curriculum Goals | Corresponding to the Departmental Core Goal | ||
| 1. 1. To understand backgrounds, history, and relevant theories of data visualization |
College: 1-1 To possess the domain knowledge and professional skills in learning sciences |
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| 2. 2. To understand how to choose appropriate charts and figures to present results derived from different forms of data |
College: 1-2 To integrate and apply relevant theories in learning sciences |
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| 3. 3. To use computer software to analyze data, interpret results, and present findings |
College: 2-1 To equip with the ability to analyze and transform learning and information technologies to various contexts 2-2 To possess the ability to earnestly retrieve and act to be attentive to social issues and information |
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| II. General Syllabus |
| Instructor(s) | 林宗進 | ||
| Schedule | |||
本課程將包含以下主題： 1. 為什麼要資料視覺化 2. 資料視覺化的基本要素 3. 圖表製作的基本規則 4. 資料視覺化理論 5. 圖表的誤導與暗示 6. 當代資料視覺化技術 7. 資料視覺化工具Tableau操作 註：以上各主題進度及週數視學習情況調整。 |
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| Instructional Approach | |||
| Methods | Notes | ||
| Formal lecture | 教師講述 | ||
| Group discussion | 小組討論 | ||
| Lab/Studio | 資料視覺化軟體操作 | ||
| Case studies | 期末專題 | ||
| Grading assessment | |||
| Methods | Percentage | Notes | |
| Assignments | 15 % | 不定時平時作業 | |
| Midterm Exam | 25 % | 期中報告 | |
| Class discussion involvement | 20 % | 課堂問題討論與每週出席狀況 | |
| Case study reports | 40 % | 期末專題成果展覽 | |
| Required and Recommended Texts/Readings with References | Practical Tableau: 100 Tips, Tutorials, and Strategies from a Tableau Zen Master 1st Edition Getting Started with Tableau 2018.x: Get up and running with the new features of Tableau 2018 for impactful data visualization Steele, J., & Iliinsky, N. (2010). Beautiful Visualization: Looking at Data through the Eyes of Experts. O'Reilly Media. 彭其捷（2017）。大數據時代必學的超吸睛視覺化工具與技術：Excel+Tableau成功晉升資料分析師。新北市：博碩 其他教師自編教材講義與網路資源 |
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