國立中山大學 108學年度第1學期 課程教學大綱

National Sun Yat-sen University 108Academic year1st Semester Course syllabus

中文名稱
Course name(Chinese)

應用統計與資料分析

課號
Course Code

HRM674

英文名稱
Course name(English)

APPLIED STATISTICS AND DATA ANALYSIS

課程類別
Type of the course

講授類

必選修
Required/Selected

選修

系所
Dept./faculty

人力資源管理研究所碩士班

授課教師
Instructor

李澄賢    

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:

         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.)】

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課程目標 Objectives

         1. 熟悉基礎統計知識,例如: 標準誤與信賴區間。
2. 熟悉類別與連續型變項的推論統計。
3. 熟悉一般線性模式與其應用。
4. 能夠使用參數估計或假設檢定進行統計推論,並以有意義的方式詮釋分析結果。
5. 能夠在一般線性模式下,使用參數估計或假設檢定得到分析結果。
6. 能夠以統計分析軟體SPSS進行不同模型的資料分析。
1. Be acquainted with basic statistical concepts, such as standard errors, confidence intervals
2. Be familiar with inferential statistics for both continuous and categorical data
3. Be familiar with the general linear model applications
4. Be able to use the estimation and hypothesis testing procedures, and present a substantive interpretation of the analytic results
5. Be able to estimate and test hypotheses about the parameters in general linear models
6. Be able to set up and execute the statistical software program SPSS to perform data analysis using different analytical techniques


授課方式 Teaching methods

         講授與討論
Lecture & 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.課堂參與與討論 Participation10%
2.作業 Assignments40%
3.個案討論 Case Discussion10%
4.小考 Quizzes15%
5.期末考 Final Exam25%

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

         教科書
邱皓政、林碧芳 (2017)。統計學:原理與應用(第三版)。臺北:五南出版。
推薦閱讀書單
1. 俞洪亮、蔡義清、莊懿妃 (2012)。商管研究資料分析:SPSS的應用(第二版)。臺北:華泰出版。
2. 楊世瑩(2016) 。SPSS統計分析實務(第二版)。臺北:旗標出版。
3. Jaggia, S., & Kelly, A. (2016). Business Statistics (2nd edition). New York, NY: McGraw-Hill. (臺北:華泰文化代理)
4. Doane, D. P., & Seward, L. E. (2016). Applied Statistics in Business and Economics (5th edition). New York, NY: McGraw-Hill. (臺北:華泰文化代理)

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
WeekDateContent and topic
12019/09/09~2019/09/15課程簡介 Course Overview
22019/09/16~2019/09/22描述統計 Descriptive Statistics
32019/09/23~2019/09/29SPSS簡介 Introduction to SPSS
42019/09/30~2019/10/06機率I Probability I
52019/10/07~2019/10/13國定假日 National Holiday
62019/10/14~2019/10/20機率II Probability II
72019/10/21~2019/10/27抽樣分配與信賴區間 Sampling Distributions & Confidence Intervals
82019/10/28~2019/11/03假設檢定 Hypothesis Testing
92019/11/04~2019/11/10期中考週 Midterm Week
102019/11/11~2019/11/17推論母體平均數 Inference for Population Mean(s)
112019/11/18~2019/11/24變異數分析 Analysis of Variances
122019/11/25~2019/12/01類別資料: 推論母體百分比例 Categorical Data: Inference for Population Proportion(s)
132019/12/02~2019/12/08類別資料: 卡方檢定 Categorical Data: Chi-square Tests
142019/12/09~2019/12/15相關 Correlation
152019/12/16~2019/12/22簡單線性回歸I Simple Linear Regression I
162019/12/23~2019/12/29簡單線性回歸II Simple Linear Regression II
172019/12/30~2020/01/05課程內容回顧與複習 Review
182020/01/06~2020/01/12期末考試 Final Exam

課業討論時間 Office hours

         時段1 Time period 1:
時間 Time:星期二13:00~15:00
地點 Office/Laboratory:CM4081
時段2 Time period 2:
時間 Time:星期三10:00~12:00
地點 Office/Laboratory:CM4081

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
本課程欲培養之能力與素養 This course enables students to achieve.紙筆考試或測驗 Test.課堂討論︵含個案討論︶ Group discussion (case analysis).個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment.群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment.個人口頭報告 Indivisual oral presentation.群組口頭報告 Group oral presentation.課程規劃之校外參訪及實習 Off-campus visit and intership.證照/檢定 License.參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions.課外閱讀 Outside reading.
※系所學生專業能力 Basic disciplines and core capabilities of the department
1.學生能注意倫理的議題及專業倫理。 1. Students are able to pay attention to ethical subjects and professional ethics.            
2.學生能有效溝通並有良好的團隊合作。 2. Students are able to communicate effectively and have good teamwork.V V V V    
3.學生能具備國際觀。 3. Students are able to possess a global perspective.            
4.學生能發展邏輯思考及資訊科技能力以解決問題。 4. Students are able to possess appropriate abilities in information technology. VVV V V    
5.學生能具備充分的專業知能。 5. Students are able to develop logical thinking and problem solving abilities.VVV V V    
6.學生能注意並參與社會責任的議題。 6. Students are able to possess sufficient professional competency.            
※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。 1. Articulation and communication skillsV V V V    
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilitiesVVV V V    
3.終身學習能力。 3. Lifelong learningVVV V V    
4.倫理與社會責任。 4. Ethnics and social responsibility           
5.美感品味。 5. Aesthetic appreciation           
6.創造力。 6. Creativity           
7.全球視野。 7. Global perspective           
8.合作與領導能力。 8. Team work and leadershipV   V V    
9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature            

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

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