巨量資料導論
Introduction to big data analysis
學期
113-1
學分
3
學分
當期課號
520017
永久課號
XDEP20008
開課單位
學士後電子與光子學士學位學程
授課教師
林志偉
校區
光復
類別
必修
上課時間表
| 節 | 週五 |
|---|---|
6 14:20–15:10 | 巨量資料導論 SC160 3 節連堂 |
7 15:30–16:20 | |
8 16:30–17:20 |
* 根據陽明交大上課時間表所列
概述
The course introduces students to a broad overview of big data and data science. This course provides a briefing of various topics in big data from data generation, storage, management, transfer, to analytics, with focus on the open source and cloud-native technologies, tools, architectures, and systems.
先修科目
Python programming skill is preferred
評分方式
Final project report (30%) Mid-term exam (30%) Homework (30%) Attendance (10%)
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Big Data: introduction |
| 第 2 週 | Big Data: tool and terminology |
| 第 3 週 | Big Data Store: SQL and NoSQL |
| 第 4 週 | Big Data Processing: Map Reduce |
| 第 5 週 | Big Data Processing: Spark |
| 第 6 週 | Cloud: computing |
| 第 7 週 | Cloud: storage |
| 第 8 週 | Mid-term exam |
| 第 9 週 | Big Data Analysis - web scraping |
| 第 10 週 | Big Data Analysis - Numpy, Pandas and Matplotlib |
| 第 11 週 | Big Data Analysis - Scikit learn |
| 第 12 週 | Data Engineering - data architecture |
| 第 13 週 | Data Engineering - ETL |
| 第 14 週 | Data Engineering - data governance |
| 第 15 週 | Final project report - 1 |
| 第 16 週 | Final project report - 2 |
教科書
Self-edited teaching materials.
Office Hours
- 地點
- SC314
- 時間
- Tue 9:00 - 10:00
- 聯絡方式
- email address: jacky.jw.lin@nycu.edu.tw