國立中山大學 105學年度第2學期 課程教學大綱
National Sun Yat-sen University 105Academic year Course syllabus
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中文名稱 Course name(Chinese) |
資料探勘與知識發現 |
課號 Course Code |
MIS545 |
英文名稱 Course name(English) |
DATA MINING AND KNOWLEDGE DISCOVERY |
課程類別 Type of the course |
講授類 | 必選修 Required/Selected | 選修 |
系所 Dept./faculty |
資訊管理學系碩士班 |
授課教師 Instructor |
李偉柏
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學分 Credit |
3 |
因應嚴重特殊傳染性肺炎(武漢肺炎),倘若後續需實施遠距授課,授課方式調整如下: |
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因應嚴重特殊傳染性肺炎(武漢肺炎),倘若後續需實施遠距授課,評分方式調整如下: |
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尚未建立傳染性肺炎(武漢肺炎)課程評分方式﹝評分標準及比例﹞
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課程大綱 Course syllabus |
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課程目標 Objectives |
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This course introduces some important issues and useful techniques in data mining and knowledge discovery to students. It aims to help students to deepen understanding of data mining and knowledge discovery, and to apply relevant methods and techniques to design and implement systems to solve real world problems.
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授課方式 Teaching methods |
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lecture, discussion, presentation
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評分方式﹝評分標準及比例﹞Evaluation (Criteria and ratio)等第制單科成績對照表 letter grading reference
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1.homework:25% 2.midterm exan:15% 3.final exam:15% 4.project:45%
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參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念,不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use
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序號 | 作者 | 書名 | 出版社 | 出版年 | 出版地 | ISBN# | 1 | Pang-Ning Tan, Michael Steinbach, and Vipin Kumar | Introduction to Data Mining | Addison-Wesley | 2012 | | | 2 | Jiawei Han and Micheline Kamber | Data Mining: Concept and Techniques | Morgan Kauffman Publishers | 2013 | | |
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彈性暨自主學習規劃 Alternative learning periods
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每週課程內容及預計進度 Weekly scheduled progress |
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週次 | 日期 | 授課內容及主題 | 1 | 2017/02/20~2017/02/26 | Overview of Data Mining and Knowledge Discovery | 2 | 2017/02/27~2017/03/05 | Data Preprocessing | 3 | 2017/03/06~2017/03/12 | tool course | 4 | 2017/03/13~2017/03/19 | Predictive Modeling: Classification (I) | 5 | 2017/03/20~2017/03/26 | Predictive Modeling: Classification (II) | 6 | 2017/03/27~2017/04/02 | Predictive Modeling: Classification (III) | 7 | 2017/04/03~2017/04/09 | Data Clustering (I) | 8 | 2017/04/10~2017/04/16 | Data Clustering (II) | 9 | 2017/04/17~2017/04/23 | mid-term exam | 10 | 2017/04/24~2017/04/30 | presentation | 11 | 2017/05/01~2017/05/07 | Link Analysis: Association Rules (I) | 12 | 2017/05/08~2017/05/14 | Link Analysis: Association Rules (II) | 13 | 2017/05/15~2017/05/21 | Advanced Topics and Applications (I) | 14 | 2017/05/22~2017/05/28 | Advanced Topics and Applications (II) | 15 | 2017/05/29~2017/06/04 | Advanced Topics and Applications (III) | 16 | 2017/06/05~2017/06/11 | project demo/presentation | 17 | 2017/06/12~2017/06/18 | project demo/presentation | 18 | 2017/06/19~2017/06/25 | final exam |
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課業討論時間 Office hours |
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時段1: 時間:星期二14:00-16:00 地點:管4075-2 時段2: 時間:星期四14:00-16:00 地點:管4075-2
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系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilitics of the dcpartment and the university |
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系所學生專業能力/全校學生基本素養與核心能力 | 課堂活動與評量方式 | 本課程欲培養之能力與素養 | 紙筆考試或測驗 | 課堂討論︵含個案討論︶ | 個人書面報告、作業、作品、實驗 | 群組書面報告、作業、作品、實驗 | 個人口頭報告 | 群組口頭報告 | 課程規劃之校外參訪及實習 | 證照/檢定 | 參與課程規劃之校內外活動及競賽 | 課外閱讀 | ※系所所學生專業能力 | |
1.具備資訊倫理的能力 | | | | | | | | | | | | 2.具備溝通能力 | V | | | | | | | | | | | 3.具備解決資訊管理問題之能力 | V | | | | | | | | | | | 4.具備資訊管理之專業知識 | | | | | | | | | | | | 5.具備國際觀 | | | | | | | | | | | | ※全校學生基本素養與核心能力 | |
1.表達與溝通能力。 | | | | | | | | | | | | 2.探究與批判思考能力。 | V | | | | | | | | | | | 3.終身學習能力。 | | | | | | | | | | | | 4.倫理與社會責任。 | | | | | | | | | | | | 5.美感品味。 | | | | | | | | | | | | 6.創造力。 | | | | | | | | | | | | 7.全球視野。 | | | | | | | | | | | | 8.合作與領導能力。 | | | | | | | | | | | | 9.山海胸襟與自然情懷。 | | | | | | | | | | | |
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本課程與SDGs相關項目:The course relates to SDGs items: |
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本課程校外實習資訊: This course is relevant to internship: |
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