National Taiwan Normal University Course Outline Spring , 2022 |
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I.Course information |
Serial No. | 0328 | Course Level | |
Course Code | E0U0002 | Chinese Course Name | 教育統計學(二) |
Course Name | Educational Statistics (II) | ||
Department | College of Education | ||
Two/one semester | 1 | Req. / Sel. | Sel. |
Credits | 2.0 | Lecturing hours | Lecture hours: 2 |
Prerequisite Course | Prerequisite course: 【E0U0001 Educational Statistics (I)】、【05UG020 Statistics】one of above ◎1. This is a cross-level course and is available for junior and senior undergraduate students, master's students and PhD students. 2. If the listed course is a doctroal level course, it is only available for master's students and PhD students. | ||
Comment | |||
Course Description | |||
Time / Location | Tue. 3-4 Main 22-03 | ||
Curriculum Goals | Corresponding to the Departmental Core Goal | ||
1. Recognize the basic concepts of inferential statistics |
College: 2-1 Basic competency: Thinking ability - the ability to think independently, disciplined thinking, and critical thinking. |
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2. Learn the meaning, calculation, interpretation and correct use of various statistical methods |
College: 2-5 Basic competency: Integration ability - the ability to collect, analyze, and utilize information for comprehensive judgment. |
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3. Cultivate the learning ability of logical thinking and analysis |
College: 3-2 Professional competency: Vocational orientation level: (1) Possessing knowledge of engaging in educational services and research. (2) Possessing knowledge of managing educational and cultural businesses. |
II. General Syllabus |
Instructor(s) | 吳清麟 | ||
Schedule | |||
推論統計概述
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Instructional Approach | |||
Methods | Notes | ||
Formal lecture |   | ||
Group discussion |   | ||
Problem-based learning |   | ||
Lab/Studio |   | ||
Grading assessment | |||
Methods | Percentage | Notes | |
Assignments | 20 % |   | |
Midterm Exam | 20 % | 期中報告 | |
Final exam | 30 % | 本學期所有的教學內容,選擇題、問答與計算題。 | |
Attendances | 5 % |   | |
Presentation | 25 % |   | |
Required and Recommended Texts/Readings with References | 1.陳信木、翁志遠、陳雅琪(譯)(2017)。白話統計學。台北,雙葉。 |