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課程名稱 |
統計及資料分析
Statistics and Data Analysis |
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開課學期 |
110-1 |
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授課對象 |
管理學院 管理學院企業管理碩士專班(GMBA) |
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授課教師 |
余峻瑜 |
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課號 |
GMBA7098 |
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課程識別碼 |
749EM1200 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
必修 |
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上課時間 |
星期二A,B,C(18:25~21:05) |
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上課地點 |
重光講堂 |
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備註 |
本課程以英語授課。GMBA晚間課程(ABC時段)上課時間為19:00-21:45。
限GMBA班學位生
總人數上限：66人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
Statistics and data analysis are probably playing the most important roles in business analytics nowadays. With the ability to conduct scientific statistical studies and systematically analyze data, managers will be able to understand more about their customers, suppliers, competitors, and the business environment. The insights may then facilitate better decision making and help a company to attain competitive advantages.
This is a required course offered in the GMBA program in National Taiwan University. The GMBA office does not allow non-GMBA students to take or audit this course. |
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課程目標 |
In this fundamental course in the Global MBA (GMBA) program, we will focus on the techniques for conducting basic statistical studies and data analysis. The hope is that students will be capable of doing scientific data analyses in their future GMBA courses and after graduations. Time will be spent on tools, applications, as well as theories. Statistical software will be taught and used throughout this course. |
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課程要求 |
1. No late, no food, no mobile/cellular phone. THANK YOU.
2. Exercise problems, case studies, and final project report must be handed in by the HARD DEADLINE specified. Late work is NOT accepted.
3. Details about final project will be announced in due course. |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
Textbooks:
1. [K] Keller, Managerial Statistics, Taiwan Edition, Cengage Learning, 2016.
2. [F] Fraser, Business Statistics for Competitive Advantage with Excel 2016, Springer, 2016. (NTUL e-books)
https://link.springer.com/content/pdf/10.1007%2F978-3-319-32185-1.pdf
Reference:
1. Stine & Foster, Statistics for Business – Decision Making and Analysis, Pearson, 2011.
2. Levitt & Dubner, Freakonomics, revised and expanded edition, 2009. |
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評量方式
(僅供參考) |
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