0879 - 資料分析與決策模式
Data Analysis and Decision Model
教育目標 Course Target
本課程將介紹資料挖礦與大數據分析的理論方法與應用，並加入豐富的實務案例，具體 說明如何應用資料挖礦與大數據分析技術以解決真實問題，深入淺出地剖析資料挖礦與大數據分析，內容涵蓋資料挖礦基本概念與資料準備、資料挖礦的方法與實證、資料挖礦與大數 據分析的進階運用；此外，配合教材提供R 程式語言與實作範例說明，使學生能實際應用 資料挖礦方法解決相關問題，進而提升大數據分析和數位決策能力。
This course will introduce the theoretical methods and applications of data mining and big data analysis, and add a wealth of practical cases to explain in detail how to apply data mining and big data analysis technology to solve real problems, and analyze data mining and big data analysis in a simple and easy-to-understand manner. The content covers the basic concepts of data mining and data preparation, data mining methods and demonstrations, and advanced applications of data mining and big data analysis. In addition, the R programming language and implementation examples are provided in conjunction with the textbook to enable students to apply them in practice. Data mining methods solve related problems, thereby improving big data analysis and digital decision-making capabilities.
參考書目 Reference Books
大數據分析與資料挖礦2/e
Big data analysis and data mining 2/e
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
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資料探索課堂作業 (個人) Data Exploration Class Assignment (Individual) |
20 | |
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課程出席 (個人) Course attendance (individual) |
10 | |
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課程參與回饋 (個人) Course participation feedback (individual) |
20 | |
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期中考 (個人) Midterm exam (individual) |
20 | |
|
期末專題報告(分組作業) Final special report (group assignment) |
30 |
授課大綱 Course Plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 0879
- 學分 Credit: 3-0
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上課時間 Course Time:Friday/2,3,4[ST020]
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授課教師 Teacher:朱珮君
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修課班級 Class:工工系3,4
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選課備註 Memo:105A組、106-108設計生產組；外系選修須經授課教師同意
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