查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

110-1 299161 研究方法 1 3.0 3 ▲ 李鎮宇經管所 63 3 ◎

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
110-1	299161	研究方法	1	3.0	3	▲	李鎮宇	經管所	63	3	◎

教學大綱與進度：

教師姓名李鎮宇

Email G.C.Li@ntut.edu.tw

最後更新時間 2021-09-27 14:02:31

課程大綱 This course introduces to the methods essential to business research. The first focus is on applied quantitative statistical analysis—interpreting results, as well as applying them on actual data. Students should become informed consumers of statistics—to be able to understand and assess the quality of statistical methods in the papers you read, and to use those methods in your own research. The second focus is on research design and data collection methods, which will be essential to masters’ dissertation, as well as practical business roles (such as consultant or market researcher). Students will participate in a project in which they have the chance to collect and analyze their own data. The course is on fundamentals, up to multiple regression, so we will not have time to discuss more advanced statistical techniques. However, you should leave this class with a solid foundation for further education on these topics.

課程進度 9/20 No class: Mid Autumn Festival 9/27 1st class 10/4 1. Introduction to Research Methods 10/11 No class: National Holiday 10/18 2. Introduction to R 10/25 3. Basic Data Analysis 11/1 4. Statistical Inference & Significance Tests 11/8 5. Comparing Two Groups 11/15 6. Association Between Categorical Variables 11/22 7. Experimental Research Design 11/29 8. Questionnaire Design 12/6 9. Regression Analysis 12/13 In Class Data Collection 12/20 10. Multiple Regression, ANOVA, Logistic Regression 12/27 In Class Data Workshop 01/03 Topline Presentation (group ppt) 01/10 Topline Presentation (group ppt) 01/17 Exam Week: Tentatively No class

評量方式與標準 20% Participation, homework, quizzes 30% Midterm Report 5% Assignment 1: Research question 5% Assignment 2: Questionnaire design 20% Topline Presentation 20% Final Project Report 100% Total

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
"Statistics: The Art and Science of Learning from Data" 4th Edition Agresti, Franklin, Klingenberg (Taiwan's Distributor: https://www.tsanghai.com.tw/book_detail.php?c=139&no=3726#p=1)

課程諮詢管道 Email the instructor

備註 ●上課方式：遠距上課

●評量方式：
Presentations can be online if necessary due to covid-19 developments.
●補充說明資訊：

教師姓名	李鎮宇
Email	G.C.Li@ntut.edu.tw
最後更新時間	2021-09-27 14:02:31
課程大綱	This course introduces to the methods essential to business research. The first focus is on applied quantitative statistical analysis—interpreting results, as well as applying them on actual data. Students should become informed consumers of statistics—to be able to understand and assess the quality of statistical methods in the papers you read, and to use those methods in your own research. The second focus is on research design and data collection methods, which will be essential to masters’ dissertation, as well as practical business roles (such as consultant or market researcher). Students will participate in a project in which they have the chance to collect and analyze their own data. The course is on fundamentals, up to multiple regression, so we will not have time to discuss more advanced statistical techniques. However, you should leave this class with a solid foundation for further education on these topics.
課程進度	9/20 No class: Mid Autumn Festival 9/27 1st class 10/4 1. Introduction to Research Methods 10/11 No class: National Holiday 10/18 2. Introduction to R 10/25 3. Basic Data Analysis 11/1 4. Statistical Inference & Significance Tests 11/8 5. Comparing Two Groups 11/15 6. Association Between Categorical Variables 11/22 7. Experimental Research Design 11/29 8. Questionnaire Design 12/6 9. Regression Analysis 12/13 In Class Data Collection 12/20 10. Multiple Regression, ANOVA, Logistic Regression 12/27 In Class Data Workshop 01/03 Topline Presentation (group ppt) 01/10 Topline Presentation (group ppt) 01/17 Exam Week: Tentatively No class
評量方式與標準	20% Participation, homework, quizzes 30% Midterm Report 5% Assignment 1: Research question 5% Assignment 2: Questionnaire design 20% Topline Presentation 20% Final Project Report 100% Total
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 "Statistics: The Art and Science of Learning from Data" 4th Edition Agresti, Franklin, Klingenberg (Taiwan's Distributor: https://www.tsanghai.com.tw/book_detail.php?c=139&no=3726#p=1)
課程諮詢管道	Email the instructor
備註	●上課方式：遠距上課 ●評量方式： Presentations can be online if necessary due to covid-19 developments. ●補充說明資訊：