國立中山大學107學年度第2學期高等統計分析（二）課程大綱

國立中山大學 107學年度第2學期課程教學大綱

National Sun Yat-sen University 107Academic year Course syllabus

中文名稱
Course name(Chinese)

高等統計分析（二）

課號
Course Code

HCM703

英文名稱
Course name(English)

ADVANCED STATISTICAL ANALYSIS (II)

課程類別
Type of the course

講授類

必選修
Required/Selected

必修

系所
Dept./faculty

企業管理學系醫務管理博士班

授課教師
Instructor

黃浩霆

學分
Credit

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：

尚未建立傳染性肺炎(武漢肺炎)授課方式調整

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：

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﹞

課程大綱 Course syllabus

本課程教學大綱已提供完整英文資訊（本選項僅供統計使用，未提供完整英文資訊者，得免勾記）【Provide information of course syllabus in English.(This is for statistical use only. For those who do not provide information of course syllabus in English, do not check this field.)】

1. Simple Linear Regression
2. Multiple Linear Regression

課程目標 Objectives

To understand the basic concept of Linear Regression
To be able to build a Linear Regression Model.
To be able to interpret the results of regression.
To be able to apply Linear Regression techniques to real life cases.

授課方式 Teaching methods

Lecture and discussion

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

1.Exercises & mid-term quiz：30%
2.Class participation：10%
3.Term project：60%

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

序號	作者	書名	出版社	出版年	出版地	ISBN#
No.	Auther	Title	Publisher	Year of publish	Publisher place	ISBN#
1	Michael H. Kutner,Chris J. Nachtsheim,John Neter,William Li	Applied Linear Statistical Models with Student CD	McGraw Hill Education	2005		9780071122214
2	陳至安,簡郁紘,李振宇	應用線性迴歸模型	華泰文化	2005		9789861571317

彈性暨自主學習規劃 Alternative learning periods

本門課程是否有規劃實施學生彈性或自主學習內容（每1學分2小時）

Is any alternative learning periods planned for this course (with each credit corresponding to two hours of activity)?

否：教師需於「每週課程內容及預計進度」填寫18週課程進度（每1學分18小時之正課內容）。
No：The instructor will include an 18-week course plan in the weekly scheduled progress (each credit corresponds to 18 hours of instruction)

是：教師需於「每週課程內容及預計進度」填寫16週課程內容（每1學分16小時之正課內容），並於下列欄位填寫每1學分2小時學生彈性或自主學習內容。
Yes：The instructor will include a 16-week course plan in the weekly scheduled progress (each credit corresponds to 16 hours of instruction);the details of the planned alternative learning periods are provided below (each credit corresponds to two hours of activity).

學生彈性或自主學習活動 Alternative learning periods	勾選或填寫規劃內容 Place a check in the appropriate box or provide details	時數 Number of hours
學生分組實作及討論 Group work and discussion
參與課程相關作業、作品、實驗 Participation in course-related assignments, work, or experiments
參與校內外活動（研習營、工作坊、參訪）或競賽 Participation in on- or off-campus activities (e.g., seminars, workshops, and visits) or competitions
課外閱讀 Extracurricular reading
線上數位教材學習 Learning with online digital learning materials
其他（請填寫規劃內容） Other (please provide details)

每週課程內容及預計進度 Weekly scheduled progress

週次	日期	授課內容及主題
Week	Date	Content and topic
1	2019/02/18~2019/02/24	Briefing on the course
2	2019/02/25~2019/03/03	Linear regression with one predictor variable
3	2019/03/04~2019/03/10	Inferences in regression I
4	2019/03/11~2019/03/17	Inferences in regression II
5	2019/03/18~2019/03/24	Diagnostics and remedial measures
6	2019/03/25~2019/03/31	Simultaneous inferences and other topics in regression analysis
7	2019/04/01~2019/04/07	Matrix approach to simple linear regression analysis
8	2019/04/08~2019/04/14	Multiple regression I
9	2019/04/15~2019/04/21	Mid-term quiz
10	2019/04/22~2019/04/28	Multiple regression II
11	2019/04/29~2019/05/05	Presentation on final project idea
12	2019/05/06~2019/05/12	Regression models for quantitative and qualitative predictors
13	2019/05/13~2019/05/19	Building the regression model I
14	2019/05/20~2019/05/26	Building the regression model II
15	2019/05/27~2019/06/02	Revision and final project discussion
16	2019/06/03~2019/06/09	Final project presentation
17	2019/06/10~2019/06/16	Final project presentation
18	2019/06/17~2019/06/23	Final project presentation

課業討論時間 Office hours

時段1 Time period 1:
時間 Time：星期三14:00-16:00
地點 Office/Laboratory：管CM 3036
時段2 Time period 2：
時間 Time：星期四14:00-16:00
地點 Office/Laboratory：管CM 3036

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

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 capabilities of the department and the university

課堂活動與評量方式
Class activities and evaluation

1.本課程欲培養之能力與素養 This course enables students to achieve...

2.紙筆考試或測驗 Test

3.課堂討論︵含個案討論︶ Group discussion (case analysis)

4.個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment

5.群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment

6.個人口頭報告 Indivisual oral presentation

7.群組口頭報告 Group oral presentation

8.課程規劃之校外參訪及實習 Off-campus visit and intership

9.證照/檢定 License

10.參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions

11課外閱讀 Outside reading

※系所學生專業能力 Basic disciplines and core capabilities of the department

※全校學生基本素養與核心能力 Basic disciplines and core capabilities of the university

1.表達與溝通能力。

2.探究與批判思考能力。

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。

本課程與SDGs相關項目：The course relates to SDGs items:

尚未建立SDGS資料

本課程校外實習資訊: This course is relevant to internship:

本課程無註記包含校外實習