國立中山大學 112學年度第2學期 課程教學大綱

National Sun Yat-sen University 112Academic year Course syllabus

中文名稱
Course name(Chinese)

 統計學（二）

課號
Course Code

 FM206

英文名稱
Course name(English)

 STATISTICS(II)

課程類別
Type of the course

 講授類

必選修
Required/Selected

必修

系所
Dept./faculty

 財務管理學系

授課教師
Instructor

 蔡秉真    

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：
　　　　　　　　 同步遠距【透過網路直播技術，同時進行線上教學，得採Microsoft Teams、Adobe connect等軟體進行】
同步遠距含錄影【透過網路直播技術，同時進行線上教學並同時錄影，課程內容可擇日再重播，得採Microsoft Teams、Adobe connect等軟體進行】
非同步遠距【課堂錄影或錄製數位教材放置網路供學生可非同時進行線上學習，得採EverCam、PPT簡報錄影、錄音方式進行】
實作類課程，經評估無法採遠距課程教學，後續復課後密集補課

★遠距教學軟體操作說明連結

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：

　　　　　　　　
1.期初自介與學習願景 Self-Intro and Study Plan：5%
2.期中考 Midterm exam：20%
3.期末考 Final exam：20%
4.電腦上機實作 Computer workshop：30%
5.作業 Coursework assignment：20%
6.期末自我學習省思 End-term Self-Reflection：5%

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. 統計學(1)基礎內容回顧 Review of Statistics (1)
2. 迴歸分析-最小平方法 Regression Analysis (Method of Least Square)
3. 機率簡介 Basic Concepts of Probability
4. 隨機變數與機率分配 Random Variable and Probability Distribution
5. 抽樣與假設檢定 Sampling and Hypothesis Testing
6. 基本時間序列 Basics of Time Series Models







課程目標 Objectives
　　　　　　　　 統計學(二)首先對統計學(一)的內容進行回顧, 接著介紹基礎的統計理論與方法包括迴歸分析(最小平方法), 機率之概念, 隨機變數與機率分配, 抽樣與假設檢定等. 最後對時間序列做初步介紹. 課程具有兩大目標:
1. 透過使用財務相關資料, 讓同學熟悉金融數據如股價報酬之統計性質, 尤其將於三次電腦上機實作讓同學接觸不同資產的價格數據, 以對財管系其他課程如投資學, 財務管理, 國際金融與財務計量分析打好基礎
2. 自編講義包含對重要專業術語的加強解釋, 並設計互動式學習活動, 讓同學能適應英文授課的方式, 並(希望)感受到使用英文學習統計之方便與效率.
Statistics (2) will first review the content in Statistics (1), and then cover basic statistical theory and methods including regression analysis (method of least square), the concept of probability, the definition of random variable and probability distribution, sampling and hypothesis testing. It ends with a touch on time series analysis. There are two learning objectives:
1. Students will be familiar with the statistical properties of financial data, such as stock price and return, through three computer workshops in which various data will be given and different statistical tasks be practiced. This will help students acquire the skills needed for other courses in Department of Finance, including Investment, Financial Management, International Finance and Financial Econometrics.
2. Lecture notes are written with a special focus on explaining important terminology; there are also interactive activities in the course design. All of these serve to help students feel confident and comfortable in this EMI course of Statistics (2), and hopefully students can appreciate the convenience and effectiveness of learning statistics in English.







授課方式 Teaching methods
　　　　　　　　 課堂講授 Lecture
電腦上機實作 Computer Workshop








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.期初自介與學習願景 Self-Intro and Study Plan：5%
2.期中考 Midterm exam：20%
3.期末考 Final exam：20%
4.電腦上機實作 Computer workshop：30%
5.作業 Coursework assignment：20%
6.期末自我學習省思 End-term Self-Reflection：5%

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#
1Hogg, R.V., J.W. McKean and A.T. CraigIntroduction to Mathematical Statistics, 6 th Ed.Pearson Education2005
2Stephen J. TaylorAsset Price Dynamics, Volatility, and PredictionPrinceton University Press2005
3Davidson, R. and J. G. MacKinnonEconometric Theory and MethodsOxford University Press2004
4楊維哲統計學三民書局1985

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).

本門課程規劃學生彈性或自主學習內容（每1學分2小時）：
Alternative learning periods planned for the course (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
12024/02/18~2024/02/24Introduction and the Central Tendency of Data
22024/02/25~2024/03/02Measuring the Dispersion of Data
32024/03/03~2024/03/09Skewness, Kurtosis and Computer Workshop 1
42024/03/10~2024/03/16Bi-variate Data and Correlation
52024/03/17~2024/03/23Method of Least Square I
62024/03/24~2024/03/30Method of Least Square II
72024/03/31~2024/04/06Computer Workshop 2
82024/04/07~2024/04/13Midterm Exam
92024/04/14~2024/04/20Basics of Probability
102024/04/21~2024/04/27Introduction to Random Variable and Distribution
112024/04/28~2024/05/04Some Common Probability Distributions
122024/05/05~2024/05/11Computer Workshop 3
132024/05/12~2024/05/18Sampling and Hypothesis Testing I
142024/05/19~2024/05/25Hypothesis Testing II
152024/05/26~2024/06/01Basics of Time Series Analysis
162024/06/02~2024/06/08Final Exam and Poster Presentation
172024/06/09~2024/06/15
182024/06/16~2024/06/22

課業討論時間 Office hours
　　　　　　　　 時段1 Time period 1:
時間 Time：星期二10:00 - 12:00
地點 Office/Laboratory：CM3052
時段2 Time period 2：
時間 Time：星期三10:00 - 12:00
地點 Office/Laboratory：CM3052

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.
個人書面報告、作業、作品、實驗 Indivisual		群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment.
群組書面報告、作業、作品、實驗 Group paper rep		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.
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.財務倫理之能力與社會責任實踐 1. Financial ethics ability.           
2.國際觀之能力 2. Global perspective.V  VV    V 
3.解決財務問題之能力 3. Problem solving ability in Finance.           
4.溝通之能力 4. Communication skill.V VV       
5.財務管理專業知識之能力 5. Expertise in Financial management.VV V       
※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 VVV      
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilitiesVV        V
3.終身學習能力。 3. Lifelong learningVV V  V  VV
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. CreativityV V V V  V 
7.全球視野。 7. Global perspective           
8.合作與領導能力。 8. Team work and leadership           
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:

　　　　　　　　
SDG1-消除貧窮(No Poverty)
SDG2-消除飢餓 (Zero Hunger)
SDG3-良好健康與福祉(Good Health and Well-being)
SDG4-教育品質(Quality Education)
SDG5-性別平等(Gender Equality)
SDG6-乾淨水源與公共衛生(Clean Water and Sanitation)
SDG7-可負擔乾淨能源(Affordable and Clean Energy)
SDG8-優質工作與經濟成長(Decent Work and Economic Growth)
SDG9-工業、創新和基礎建設(Industry,Innovation and Infrastructure)
SDG10-減少不平等(Reduced Inequalities)
SDG11-永續城市(Sustainable Cities and Communities)
SDG12-責任消費與生產(Responsible Consumption and Production)
SDG13-氣候行動(Climate Action)
SDG14-海洋生態(Life Below Water)
SDG15-陸域生態(Life on Land)
SDG16-和平、正義和穩健的制度(Peace,Justice And Strong Institutions)
SDG17-促進目標實現的全球夥伴關係(Partnership for the Goals)
本課程和SDGS無關

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

　　　　　　　　 本課程包含校外實習（本選項僅供統計使用，無校外實習者，得免勾記）
The course includes internship.(For statistical use only. If the course without internship, please ignore this item.)

實習定義：規劃具有學分或時數之必修或選修課程，且安排學生進行實務與理論課程實習，於實習終了取得考核證明繳回學校後，始得獲得學分；或滿足畢業條件者。(一般校內實習請勿勾選此欄位)

Internship: The required or elective courses should include credits and learning hours. Students should participate in the corporative company or institution to practice and learn the real skills. An internship certification must be handed in at the end of internship to get the credits or to fulfil the graduation requirements.

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