巨量資料導論
Introduction to big data analysis
| 節 | 週二 |
|---|---|
6 14:20–15:10 | 巨量資料導論 SC159 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
- The course introduces students to a broad overview of big data and data science. - This course covers a briefing of various topics of big data ecosystem and big data analysis with focus on the open source and cloud-native solutions.
Python programming skill is preferred
- Explain course material and hold hands-on sessions in class (laptop is required). - Implement examples and assignments in Python. - Deliver final project in group or individual. The project topic is related to big data or data science. - Late submissions of homework and project will not be accepted
Mid-term exam (20%) Final-term exam (20%) Project (20%) Homework (30%) Attendance(10%)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction |
| 第 2 週 | Big data characteristics |
| 第 3 週 | Big data ecosystem |
| 第 4 週 | Data science process |
| 第 5 週 | Exploratory data analysis |
| 第 6 週 | Data mining: frequent itemset mining |
| 第 7 週 | Machine learning: recognition of handwritten digits |
| 第 8 週 | Mid-term exam |
| 第 9 週 | Progress report oral presentation Business intelligence: RFM model |
| 第 10 週 | Distributing data processing PySpark: word count |
| 第 11 週 | NoSQL: word cloud |
| 第 12 週 | Text mining: text analytics |
| 第 13 週 | Data visualization |
| 第 14 週 | Cloud computing |
| 第 15 週 | Final report oral presentation |
| 第 16 週 | Final-term exam |
- Introducing Data Science, Davy Cielen, Arno D. B. Meysman, and Mohamed Ali, Manning, 2016 - Big Data: Concepts, Technology, and Architecture, Balamurugan Balusamy, Nandhini Abirami. R, Seifedine Kadry, and Amir H. Gandomi, Wiley, 2021. - Storytelling with Data, Cole Nussbaumer Knaflic, Wiley, 2015 - 商業智慧, 高昶易, 普林斯頓, 2024.
- 地點
- SC314
- 時間
- By appointment
- 聯絡方式
- email address: jacky.jw.lin@nycu.edu.tw