本課程將以實際的巨量資料為核心，讓學生接觸實際的巨量資料計畫，並學習相關的方法與技術。 課 程會就資料的背景、來源、要解決的問題及相關的domain knowledge做說明。 接著，針對以下四個主 題:1.資料搜集、儲存與整理;2.模型建立與分析方法;3.結果呈現、說明與視覺化; 4.分析流程自動化軟體的雛型製作， 講述相關既存的概念、方法與實作工具，接著針對新穎方法進行討論。 This course will focus on the huge amount of actual data, allowing students to come into contact with the huge amount of actual data plans and learn related methods and techniques. The course will explain the background, source of the data, the problems to be solved and the related domain knowledge. Next, we will discuss the following four topics: 1. Data collection, storage and organization; 2. Model establishment and analysis methods; 3. Results presentation, explanation and visualization; 4. Automatic software production of the analysis process, describe related concepts, methods and practical tools, and then discuss the new methods.
R 語言 資料分析與應用 旗標
R Language Data Analysis and Application Flag
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 Midterm exam |
30 | |
| 期末考期末考 Final exam |
30 | |
| 作業作業 Action |
40 |
