| Academic Year |
2025Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Informatics and Data Science Program |
| Lecture Code |
WSN22401 |
Subject Classification |
Specialized Education |
| Subject Name |
多変量解析応用 |
Subject Name
（Katakana） |
タヘンリョウカイセキオウヨウ |
Subject Name in
English |
Applied Multivariate Analysis |
| Instructor |
MONDEN REI |
Instructor
(Katakana) |
モンデン レイ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, Intensive |
| Days, Periods, and Classrooms |
(Int) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face |
| This lecture will be given only in face-to-face style. |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
E
:
English |
| Course Level |
6
:
Graduate Advanced
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
|
| Keywords |
Multivariate Analysis, R markdown, Github |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
We will cover some advanced multivariate analytical methods. In addition, we will use RStudio, RMarkdown and GitHub to be able to work on the same project as a group. Students are expected to actively participate on the lectures. Grade will be given based on the presentations and participation for the course. |
| Class Schedule |
lesson1: Guidance, Rmarkdown
lesson2: GitHub1
lesson3: GitHub2
lesson4: Missing data analysis
lesson5: Power Analysis
lesson6: Multilevel Analysis 1
lesson7: Multilevel Analysis 2
lesson8: Latent Class Analysis
lesson9: Latent Class Growth Analysis
lesson10: Students' presentation 1
lesson11: Structural Equation Modelling 1
lesson12: Structural Equation Modelling 2
lesson13: Survival Analysis 1
lesson14: Survival Analysis 2
lesson15: Students' presentation 2
This lecture will be given on the following days:
December 5, December 12 and December 19 (each day from 8:45 till 17:50) |
Text/Reference
Books,etc. |
All literatures will be indicated on the first lecture. No need to buy any textbook. |
PC or AV used in
Class,etc. |
Handouts, Microsoft Teams, moodle |
| (More Details) |
PC (each student is expected to bring their own PC to program during the course) |
| Learning techniques to be incorporated |
Discussions, PBL (Problem-based Learning)/ TBL (Team-based Learning), Flip Teaching |
Suggestions on
Preparation and
Review |
Review the lecture slides and exercises. |
| Requirements |
This lecture will be given ONLY on the face-to-face style. |
| Grading Method |
English presentations will be graded. |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |