| Academic Year |
2025Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Mathematics Program |
| Lecture Code |
WSA17000 |
Subject Classification |
Specialized Education |
| Subject Name |
数理統計学セミナー |
Subject Name
（Katakana） |
スウリトウケイガクセミナー |
Subject Name in
English |
Mathematical Statistics Seminar |
| Instructor |
WAKAKI HIROFUMI,IMORI SHINPEI,ODA RYOYA |
Instructor
(Katakana) |
ワカキ ヒロフミ,イモリ シンペイ,オダ リョウヤ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, Year |
| Days, Periods, and Classrooms |
(Year) Inte：Follow the instruction by the class instructor. |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
Face-to-face, Online (simultaneous interactive) |
| Seminar by using slide or blackboard |
| Credits |
4.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
7
:
Graduate Special Studies
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
01
:
Mathematics/Statistics |
| Eligible Students |
1 Year First Semester graduate students |
| Keywords |
Estimation, testing, model selection, distributional theory and data analysis |
| 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 |
Students deepen their knowledge of statistical analysis and acquire skills as researchers, such as surveying related research, problem formulation, approaches to solutions, theory development and presentation. |
| Class Schedule |
Students will listen to research presentations by researchers, or present their own research and the contents of related literature. In addition, students will read texts in turn and hold seminars.
|
Text/Reference
Books,etc. |
text not fixed. We talk with in the first lecture. |
PC or AV used in
Class,etc. |
|
| (More Details) |
text, documents, blackboard, projector |
| Learning techniques to be incorporated |
Discussions |
Suggestions on
Preparation and
Review |
Review and preparation for the presentation |
| Requirements |
The dates and times of eligible seminars will be communicated separately. |
| Grading Method |
overall estimates on participations, preparations for seminar and understandings of subjects.(100 percent) |
| 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. |