授業の目的 【日本語】
Goals of the Course(JPN) | | |
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授業の目的 【英語】
Goals of the Course | | | Students will learn summary statistics necessary to extract information from data. Various tools to visualize data are presented using Excel and R (a programming language for statistical analysis). In addition, students will learn simple regression models. |
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到達目標 【日本語】
Objectives of the Course(JPN) | | At the end of the course, all students will be able to:
1. Demonstrate an understanding of summary statistics.
2. Create a data set using Excel.
3. Estimate and visualize summary statistics using R.
4. Run simple regressions and interpret the results. |
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到達目標 【英語】
Objectives of the Course | | |
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授業の内容や構成
Course Content / Plan | | This course is composed of lectures, in-class activities (exercises using Excel and R, discussions, and quizzes), homework assignments, and a term paper. The topics covered in this course are:
1. Introduction & installing R
2. Sorting out data in Excel: basic tools
3. Sorting out data in Excel: advanced tools
4. Basic operations in R: working directory, saving scripts
5. Basic operations in R: reading data files
6. Basic operations in R: summary function
7. Basic operations in R: review
8. RStudio
9. Boxplots, hinges, and quartiles in R
10. Histogram in R
11. Scatter plots and correlation coefficients in R
12. Regression
13. Regression in R: part 1
14. Regression in R: part 2
15. Review |
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履修条件・関連する科目
Course Prerequisites and Related Courses | | |
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成績評価の方法と基準
Course Evaluation Method and Criteria | | 1. Term paper (50%): Detailed instructions will be distributed around the 7th week. Students' papers will be graded using a grading rubric provided in the instructions. Late submission will be accepted with a 10% penalty per day (24-hour period).
2. Assignment (20%): There will be about 5 homework assignments. Each homework has a due date. Late submission will be accepted with a penalty of a 10% deduction per day (24-hour period).
3. Class participation (15%): There will be various in-class activities (e.g., exercises, discussions, and quizzes). Students who actively participate in these activities will receive points for class participation.
4. Class attendance (15%): If a student anticipates an excused absence, he/she must notify the instructor in person or by emails to be excused. A proof (e.g., a doctor's note) is not required for the first absence but is required for the second and subsequent absences to be excused. |
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教科書・テキスト
Textbook | | | There is no textbook required for this course. |
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参考書
Reference Book | | |
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課外学習等（授業時間外学習の指示）
Study Load(Self-directed Learning Outside Course Hours) | | | Students are expected to review course materials taught in each class. Previewing of course materials is not required. |
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注意事項
Notice for Students | | | Students must bring their computers to every class to use R. Smartphones and tablets cannot be used for this purpose. Instructions for the installment of R will be provided during the first class meeting. |
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授業開講形態等
Lecture format, etc. | | If the educational activity level is 1 or less, face-to-face lessons will be held in principle. However, for students who do not wish to take face-to-face lessons, it will be conduct "face-to-face / ICT-based remote classes (two-way or simultaneous on-demand)". ICT-based remote classes will be conduct by NUCT etc. When conducting an on-demand lesson, students should use the NUCT feature "Messages" to ask teachers questions and exchange opinions about lessons between students.
* If the class format changes after registration (after this notification), we will notify you on the NUCT class site. |
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遠隔授業（オンデマンド型）で行う場合の追加措置
Additional measures for remote class (on-demand class) | | |
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