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)

統計學(一)

課號
Course Code

MIS201

英文名稱
Course name(English)

STATISTICS(I)

課程類別
Type of the course

講授類

必選修
Required/Selected

必修

系所
Dept./faculty

資訊管理學系

授課教師
Instructor

張德民    

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.)】

1. Introduction to statistics
2. Descriptive statistics
3. Probability
4. Discrete probability distributions
5. Continuous probability distributions
6. Sampling distributions
7. Interval estimation






課程目標 Objectives

         To cover the basic concepts in probability and statistics. In this semester, the class material includes descriptive statistics, probability and probability distributions, sampling distributions, and interval estimation.






授課方式 Teaching methods

         Lectures, lab practice, and in-class 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.Labs15%
2.Exam I15%
3.Exam II15%
4.Exam III15%
5.Project 10%
6.Discussion30%

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.AutherTitlePublisherYear of
publish
Publisher
place
ISBN#
1MaClave, Benson, and SincichStatistics for Business and EconomicsPearson Education20181292227087

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
12019/09/09~2019/09/15Holiday Break
22019/09/16~2019/09/22Chapter 1 Statistics, Data, and Statistical Thinking
32019/09/23~2019/09/29Chapter 2 Methods for Describing Sets of Data
42019/09/30~2019/10/06Chapter 2 Methods for Describing Sets of Data
52019/10/07~2019/10/13Adjusted Break
62019/10/14~2019/10/20Lab I
72019/10/21~2019/10/27Exam I
82019/10/28~2019/11/03Chapter 3 Probability
92019/11/04~2019/11/10Chapter 4 Random Variables and Probability Distributions
102019/11/11~2019/11/17Chapter 4 Random Variables and Probability Distributions*
112019/11/18~2019/11/24Lab II
122019/11/25~2019/12/01Exam II
132019/12/02~2019/12/08Chapter 5 Sampling Distributions
142019/12/09~2019/12/15Chapter 6 Inferences Based on a single sample: Estimation with Confidence Intervals
152019/12/16~2019/12/22Chapter 6 Inferences Based on a single sample: Estimation with Confidence Intervals
162019/12/23~2019/12/29Lab III
172019/12/30~2020/01/05Exam III
182020/01/06~2020/01/12Project Presentation

課業討論時間 Office hours

         時段1 Time period 1:
時間 Time:星期二12:00~14:00
地點 Office/Laboratory:管3027
時段2 Time period 2:
時間 Time:星期四12:00~14;00
地點 Office/Laboratory:管3027

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.具備資訊倫理與社會責任實踐的能力 1. Awareness of information ethics.           
2.具備溝通能力 2. Communication Skills.V   V V    
3.具備解決資訊管理問題之能力 3. Capabilities to solve IT-related problems.VVV        
4.具備資訊管理之專業知識 4. Professional knowledge of information technology.           
5.具備國際觀 5. Global perspective.            
※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    
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilitiesVVV        
3.終身學習能力。 3. Lifelong learning           
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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