National Taiwan Normal University Course Outline
Spring , 2019

@尊重智慧財產權,請同學勿隨意影印教科書 。
Please respect the intellectual property rights, and shall not copy the textbooks arbitrarily.

I.Course information
Serial No. 0921 Course Level Undergraduate
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. 瞭解資料視覺化的背景與相關理論。 College:
 1-2 To integrate and apply relevant theories in learning sciences
2. 選擇適切的視覺化圖表呈現各種類型之數據。  
3. 運用電腦軟體進行資料分析、呈現與解讀。  

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。

Lecturing Methodologies
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