課程大綱 Syllabus |
學生學習目標 Learning Objectives |
單元學習活動 Learning Activities |
學習成效評量 Evaluation |
備註 Notes |
序 No. | 單元主題 Unit topic |
內容綱要 Content summary |
1 | 大數據概論(1) [Introduction of big data(1)] |
課程概述與評分標準 (Course overview and grading criteria) |
課程概述與評分標準 (Course overview and grading criteria) |
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2 | 大數據概論(2) [Introduction of big data(2)] |
什麼是大數據?介紹大數據的觀念及介紹台灣政府的開放資料庫。(What is big data? Introduce the concept of big data and open database of Taiwan government.) |
什麼是大數據?介紹大數據的觀念及介紹台灣政府的開放資
料庫。(What is big data? Introduce the concept of big data and open
database of Taiwan government.) |
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3 | 大數據應用(1) [Application of big data(1)] |
行銷大數據 (Big Data in Marketing)
社群大數據 (Big Data in Online Community) |
行銷大數據 (Big Data in Marketing)
社群大數據 (Big Data in Online Community) |
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4 | 大數據應用(2) [Application of big data(2)] |
金融大數據 (Big Data in Finance) |
金融大數據 (Big Data in Finance) |
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5 | 大數據應用(3) [Application of big data(3)] |
零售大數據 (Big Data in Retail)
電商大數據 (Big Data in E-commerce) |
零售大數據 (Big Data in Retail)
電商大數據 (Big Data in E-commerce) |
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6 | 大數據應用(4) [Application of big data(4)] |
製造大數據 (Big Data in Manufacturing)
農業大數據 (Big Data in Agricultural) |
製造大數據 (Big Data in Manufacturing)
農業大數據 (Big Data in Agricultural) |
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7 | 大數據應用(5) [Application of big data(5)] |
醫療大數據 (Big Data in Medical)
交通大數據 (Big Data in Transportation) |
醫療大數據 (Big Data in Medical)
交通大數據 (Big Data in Transportation) |
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8 | 期中報告 (Midterm Report) |
尋找一個大數據實務案例,解析其應用方式與使用技術。
(Looking for a big data case, analyze its application and technology) |
尋找一個大數據實務案例,解析其應用方式與使用技術。
(Looking for a big data case, analyze its application and technology) |
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9 | 期中考 (Midterm Exam) |
期中考 (Midterm Exam) |
期中考 (Midterm Exam) |
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10 | 大數據分析方法(1) [Analysis Method of Big Data (1)] |
大數據與機器人學習概論 (Introduction of big data and machine learning) |
大數據與機器人學習概論 (Introduction of big data and machine learning) |
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11 | 大數據分析方法(2) [Analysis Method of Big |
介紹大數據統計分析方法及分析流程 (Introduce the big data statistical analysis method and analysis process) |
介紹大數據統計分析方法及分析流程 (Introduce the big data statistical analysis method and analysis process) |
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12 | 大數據分析方法(3) [Analysis Method of Big Data (3)] |
大數據與深度學習: 類神經網絡起源與應用(Big data and deep learning: origins and applications of neural networks) |
大數據與深度學習: 類神經網絡起源與應用(Big data and deep learning: origins and applications of neural networks) |
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13 | 工具操作(1) [Analysis Tool of Big Data (1)] |
大數據資料視覺化概念介紹 (Introduce to Big data visualization) |
大數據資料視覺化概念介紹 (Introduce to Big data visualization) |
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14 | 工具操作(2) [Analysis Tool of Big Data (2)] |
大數據資料視覺化流程介紹與實作 (樞紐分析表、Power BI) (Introduce and practice the big data statistical software: Power BI) |
大數據資料視覺化流程介紹與實作 (樞紐分析表、Power BI) (Introduce and practice the big data statistical software: Power BI) |
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15 | 工具操作(3) [Analysis Tool of Big Data (3)] |
介紹大數據分析軟體Tableau與實作 (Introduce and practice the big data statistical software: Tableau) |
介紹大數據分析軟體Tableau與實作 (Introduce and practice the big data statistical software: Tableau) |
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16 | 工具操作(4) [Analysis Tool of Big Data (4)] |
介紹大數據分析軟體Azure Machine Learning (Introducing big data analysis software Azure Machine Learning) |
介紹大數據分析軟體Azure Machine Learning (Introducing big data analysis software Azure Machine Learning) |
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17 | 期末報告 (Final Report) |
利用BI工具呈現公開數據資料 結果,並解釋其意涵。(Use BI tools to present the results of publicly available data and explain their implications.) |
利用BI工具呈現公開數據資料 結果,並解釋其意涵。(Use BI tools to present the results of publicly available data and explain their implications.) |
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18 | 期末考 (Final Exam) |
期末考 (Final Exam) |
期末考 (Final Exam) |
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