| 課程代碼 |
1GM00H01
|
| 課程中文名稱 |
資料探勘與應用
|
| 課程英文名稱 |
Data Mining and Application
|
| 學分數 |
3.0
|
| 必選修 |
選修
|
| 開課班級 |
博研經管二甲
|
| 任課教師 |
王派洲
|
| 上課教室(時間) |
|
週三
|
第6節
|
(E0610)
|
|
週三
|
第7節
|
(E0610)
|
|
週三
|
第8節
|
(E0610)
|
|
| 課程時數 |
3
|
| 實習時數 |
0
|
| 授課語言 |
1.英語
◎全程外語教學
|
| 輔導考證 |
無
|
| 課程概述 |
Data mining programs are intended to search through data for hidden relationships and patterns in your data. This is particularly pertinent to marketing companies who want to know what made a specific group of people buy their product. It can also be very important in scientific fields such as medicine where finding correlations in groups of people who are affected by a similar disease could be very helpful. Data mining is needed to make sense and use of the rapidly growing data and is an essential field of the 21st century.
|
| 先修科目或預備能力 |
Excel, Statistics
|
|
課程學習目標與核心能力之對應
|
| 編號 | 中文課程學習目標 | 英文課程學習目標 |
|
1
|
1.be able to describe the generic characteristics of data mining
|
1.be able to describe the generic characteristics of data mining
|
|
2
|
understand the concept, procedure and technique of data mining
|
understand the concept, procedure and technique of data mining
|
|
3
|
preprocess the raw data with the related software
|
preprocess the raw data with the related software
|
|
4
|
have developed your own data mining application
|
have developed your own data mining application
|
|
5
|
analyze the business data and interpret the analysis results
|
analyze the business data and interpret the analysis results
|
|
6
|
be prepared for independent, critical study and assessment of publications about data mining
|
be prepared for independent, critical study and assessment of publications about data mining
|
|
| 就業力培養目標 |
此門課程無設定權重值
|
| 中文課程大綱 |
1.資料探勘與機器學習的簡介
2.機器學習與分類分析
3.資料的輸入：概念、範例、屬性
4.分類分析方法：決策樹
5.模式的評估
6.分群分析
7.關聯分析
|
| 英/日文課程大綱 |
1. Introduction: Machine Learning and Data Mining
2. Machine Learning and Classification
3. Input: Concepts, instances, attributes
4. Classification: Decision Trees
5. Model Evaluation and Credibility
6. Clustering
7. Associations
|
| 課程進度表 |
|
| 課程融入SDGs |
|
| 期考調查 |
| 期中考(第9週)考試方式 |
|
| 期末考(第18週)考試方式 |
|
| 其他週考試考試週次與方式 |
|
|
| 教學方式與評量方式 |
| 課程學習目標 | 教學方式 | 評量方式 |
| 1.be able to describe the generic characteristics of data mining |
--
|
--
|
| understand the concept, procedure and technique of data mining |
--
|
--
|
| preprocess the raw data with the related software |
--
|
--
|
| have developed your own data mining application |
--
|
--
|
| analyze the business data and interpret the analysis results |
--
|
--
|
| be prepared for independent, critical study and assessment of publications about data mining |
--
|
--
|
|
| 指定用書 |
| 書名 |
|
| 作者 |
|
| 書局 |
|
| 年份 |
|
| 國際標準書號(ISBN) |
|
| 版本 |
|
請同學尊重智慧財產權，使用正版教科書，不得非法影印，以免觸犯智慧財產權相關法令
。 |
| 參考書籍 |
|
| 教學軟體 |
|
| 課程規範 |
|