| Semester | Fall Semester, 2025 | ||
| Department | Freshman Class of BA in Global Governance | ||
| Course Name | Statistics(Ⅰ) | ||
| Instructor | KUAN PING-YIN | ||
| Credit | 3.0 | ||
| Course Type | Required | ||
| Prerequisite | |||
| Course Objective | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Course Description | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Course Schedule | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Teaching Methods | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Teaching Assistant | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
TBA | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Requirement/Grading | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Attendance: Class attendance is required. Statistics learning requires you to gradually but constantly build your knowledge and skills. It is tough to catch up once you fall behind. You are also expected to contribute to the class by asking questions, participating in class discussions, and collaborating on in-class exercises. Therefore, your attendance is essential for making these contributions. Reading Assignments: You are expected to read the assigned chapters before each session (see the class schedule above). To complete reading assignments successfully, you need to understand what is in each chapter. Therefore, in addition to highlighting the text and taking notes, I suggest you write down any specific questions. It would be helpful if you plan to spend 3 hours before and 3 hours after the weekly class. You may find some chapters challenging to follow. Don't worry if this happens. It is crucial to finish reading the assigned chapter before each session to gain a general understanding of it and review it after class to ensure a deeper comprehension of the materials. Homework Assignments: Learning by doing is crucial for understanding statistics. You will be given homework exercises at the end of most sessions. Homework questions for each chapter will be uploaded to Moodle. You will have at least a week to complete each assignment. If you start working on your homework early, you will have a chance to ask questions in the next class session before submitting your assignments. I will collect assignments at the beginning of the scheduled class sessions. You will lose points if you turn in your homework late (anytime after the class session starts and before 4:00 pm on the next day). You should upload your assignments to Moodle in MS Word format. Group Project: There will be a one-week group project at the end of the semester (Week 15). You'll need to form project groups. Each group will have a maximum of 5 students per group and should consist of members from at least two countries. Honor Code: Please help each other, by all means, to exchange notes for missed class sessions, study for exams, and so on. However, the assignments (homework or quizzes) you turn in should result from your own hard work. You should not copy your peer's work in any way. In short, No Plagiarism or Cheating. Any confirmed violation, as determined by a third-party investigation, will result in a grade of "zero" for that particular assignment or an "F" for the course, at my discretion. Grading Homework Assignments: 55% Tests (quizzes, including group R project and final): 35% Attendance: 10%
A+: 90-99 A: 85-89 A-: 80-84 B+: 77-79 B: 73-76 B-: 70-72 C+: 67-69 C: 63-66 C-: 60-62 D: 50-59 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Textbook & Reference | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Healey, J. F., 2021. Statistics: A Tool for Social Research and Data Analysis. New York: Cengage Learning. 11th edition. https://www.tsanghai.com.tw/book_detail.php?c=156&no=4403#p=1 Navarro, Danielle. Learning Statistics with R. https://learningstatisticswithr.com/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Urls about Course | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture Notes (in Chinese): https://drive.google.com/file/d/1cKY5SwnAmgbodnoupuspuX5oxZvxJG0b/view | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Attachment | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||