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 take actual massive data as its core, allowing students to be exposed to actual massive data projects and learn related methods and technologies. The course will explain the background and source of the data, the problems to be solved and related domain knowledge. Then, focus on the following four topics: 1. Data collection, storage and organization; 2. Model establishment and analysis methods; 3. Results presentation, explanation and visualization; 4. Analysis of the prototype production of process automation software, and describe the relevant existing processes. Concepts, methods, and implementation tools, followed by a discussion of novel methods.
R 語言 資料分析與應用 旗標
R Language Data Analysis and Application Flags
| 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 Homework |
40 |
