資料探勘與商業智慧
Data mining and Business Intelligence
| 節 | 週三 |
|---|---|
A 18:30–19:20 | 資料探勘與商業智慧 M101（光復） 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 根據陽明交大上課時間表所列
With the rapid development of artificial intelligence and big data analytics techniques, several innovative applications and novel business model are proposed to improve the daily operations of enterprises and business strategies. This course includes two major parts: (1) Data Mining: The courses in the first half semester introduces the theory and practices of data mining techniques. Data mining is an interdisciplinary research field which involves machine learning, statistics, and database management. It focuses on the pattern extraction and knowledge discovery from large data sets. (2) Business Intelligence: The remaining courses will let the students understand the emerging issues about business intelligence(BI). BI comprises the strategies and technologies used by enterprises for the data analysis of business information. Several important tools, including data visualization, report automation, data-driven decision making, will be discussed with the lectures, case study, and oral presentation.
Fundamental programming skills
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Midterm exam 40% Class participation 10% Homeworks, group presentation and Final project 50%
Business Intelligence
1.Case study 2.Business plan discussion
- 講授：
- 6
- 實作：
- 12
- 其他：
- 9
Data mining
1.Data mining theory 2.Practical applications
- 講授：
- 18
- 示範：
- 6
- 實作：
- 3
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course Introduction 2023-02-15(三) |
| 第 2 週 | Introduction to machine learning and data mining 2023-02-22(三) |
| 第 3 週 | Classification I 2023-03-01(三) |
| 第 4 週 | Classification II 2023-03-08(三) |
| 第 5 週 | KNN and Kmeans 2023-03-15(三) |
| 第 6 週 | Association Rules 2023-03-22(三) |
| 第 7 週 | Clustering 2023-03-29(三) |
| 第 8 週 | Anomaly Detection 2023-04-05(三) |
| 第 9 週 | Mid-term Exam 2023-04-12(三) |
| 第 10 週 | Service Design I 2023-04-19(三) |
| 第 11 週 | Service Design II 2023-04-26(三) |
| 第 12 週 | Business Plan Writing 2023-05-03(三) |
| 第 13 週 | Case Study I (Ubereats) 2023-05-10(三) |
| 第 14 週 | Case Study II (Tesla) 2023-05-17(三) |
| 第 15 週 | Case Study III (Post-covid-19 business intelligence) 2023-05-24(三) |
| 第 16 週 | Business Intelligence Final Report 2023-05-31(三) |
| 第 17 週 | On-line Seminar 2023-06-07(三) |
| 第 18 週 | On-line Seminar 2023-06-14(三) |
Han, J., Pei, J., & Tong, H. (2022). Data mining: concepts and techniques. 3/e, Morgan kaufmann.
- 地點
- Room 418, Management Building I
- 時間
- by appointment
- 聯絡方式
- szuhaohuang@nycu.edu.tw