|
課程名稱 |
統計學一上
Statistics (I)(1) |
|
開課學期 |
108-1 |
|
授課對象 |
資訊管理學系 |
|
授課教師 |
陳靜枝 |
|
課號 |
MGT2001 |
|
課程識別碼 |
700 20111 |
|
班次 |
09 |
|
學分 |
3.0 |
|
全/半年 |
全年 |
|
必/選修 |
必帶 |
|
上課時間 |
星期三7,8,9(14:20~17:20) |
|
上課地點 |
管二305 |
|
備註 |
本課程中文授課,使用英文教科書。週三6實習在管院大電腦教室。與蔣明晃合授
限本系所學生(含輔系、雙修生)
總人數上限：70人 |
|
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1081MGT2001_09_STAT |
|
課程簡介影片 |
|
|
核心能力關聯 |
本課程尚未建立核心能力關連 |
|
課程大綱
|
|
為確保您我的權利,請尊重智慧財產權及不得非法影印
|
|
課程概述 |
Solving statistical problems begins with a problem and data. The ability to select the right method by problem objective and data type is a valuable tool for business. This class emphasizes applications and fundamental concepts of statistics as well as provides a practical orientation that teaches students how to identify the correct method, calculate the statistics, and properly interpret the results in the context of the question or decision at hand. Since business decisions are driven by data, students will leave this course equipped with the tools they need to make effective, informed decisions in all areas of the business world. |
|
課程目標 |
The students will learn not only the algorithms and techniques used to solve related problems, but also the real-world applications that adopt these methods. The students are encouraged to utilize computers in every respect of this class. Computer software is available for this class. |
|
課程要求 |
Homework will be assigned through the term and will due the following week. No late homework will be accepted. Students must turn in their own homework.
Homework will be assigned through the term and will due the following week. No late homework will be accepted. Students must turn in their own homework.
Form each group with 5 to 8 persons. Select a case from the textbook from chapter 1 through chapter 12. Prepare a 15 minutes presentation. Turn in a report less than 10 pages. The report will be due on the day of presentation.
Both mid-term and final exams will be in-class, three-hour, and open-book. Each student will be provided a PC in the exams. No NB is allowed. No discussion is allowed in exams. Cheating will result in severe penalty. |
|
預期每週課後學習時數 |
|
|
Office Hours |
|
|
指定閱讀 |
Statistics for Management and Economics by Gerald Keller (11th Edition) |
|
參考書目 |
Managerial Statistics by Keller (Taiwan Edition) |
|
評量方式
(僅供參考) |
|
No. |
項目 |
百分比 |
說明 |
|
1. |
Final Exam (Jan. 8) |
35% |
Final exam will be in-class, three-hour, and open-book. Each student will be provided a PC in the exams. No NB is allowed. No discussion is allowed in exams. Cheating will result in severe penalty. |
2. |
Mid-term Exam (Oct. 30) |
35% |
Mid-term Exam will be in-class, three-hour, and open-book. Each student will be provided a PC in the exams. No NB is allowed. No discussion is allowed in exams. Cheating will result in severe penalty. |
3. |
Project Presentation (Dec. 25) |
15% |
Form each group with 5-8 persons. Select any research topic that could be solved by the hypothesis testing or regression techniques taught in this class. The project should starts from data-collection processes by the methods such as interviews, questionnaires, or secondary-data collection. Prepare a 15 minutes presentation. Turn in a report less than 10 pages. |
4. |
Homework |
15% |
Homework will be assigned through the term and will due the following week. No late homework will be accepted. Students must turn in their own homework. |
|
|
週次 |
日期 |
單元主題 |
|
第1週 |
2019/09/11 |
Introduction
Introduction to R and R Notebook
Online video: https://youtu.be/X7PV0ZuGvj8 |
|
第2週 |
2019/09/18 |
Chapter 1: What is Statistics?
Chapter 2: Graphical Descriptive Techniques I |
|
第3週 |
2019/09/25 |
Chapter 3: Graphical Descriptive Techniques II (Continue)
Chapter 4: Numerical Descriptive Techniques |
|
第4週 |
2019/10/02 |
Chapter 4: Numerical Descriptive Techniques (Continued) |
|
第5週 |
2019/10/09 |
Chapter 6: Probability |
|
第6週 |
2019/10/16 |
Chapter 7: Random Variables and Discrete Probability Distributions |
|
第7週 |
2019/10/23 |
Chapter 8: Continuous Probability Distributions |
|
第8週 |
2019/10/30 |
Mid-term Exam in Computer Room |
|
第9週 |
2019/11/06 |
Chapter 5: Data Collection and Sampling |
|
第10週 |
2019/11/13 |
Chapter 9: Sampling Distributions |
|
第11週 |
2019/11/20 |
Chapter 10: Introduction to Estimation |
|
第12週 |
2019/11/27 |
Chapter 10: Introduction to Estimation (Continued)
Chapter 11: Introduction to Hypothesis Testing
|
|
第13週 |
2019/12/04 |
Chapter 11: Introduction to Hypothesis Testing (Continued) |
|
第14週 |
2019/12/11 |
Chapter 12: Inference about a Population |
|
第15週 |
2019/12/18 |
Chapter 12: Inference about a Population (continued) |
|
第16週 |
2019/12/25 |
Project Presentation |
|
第17週 |
2020/01/01 |
New Year Holiday (Day off) |
|
第18週 |
2020/01/08 |
Final Exam in Computer Room |