| Academic Year |
2026Year |
School/Graduate School |
School of Letters |
| Lecture Code |
BX250029 |
Subject Classification |
Specialized Education |
| Subject Name |
卒業論文 |
Subject Name
（Katakana） |
ソツギョウロンブン |
Subject Name in
English |
Graduation Thesis |
| Instructor |
UEDA SHINYA |
Instructor
(Katakana) |
ウエダ シンヤ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
4th-Year, Second Semester, Second Semester |
| Days, Periods, and Classrooms |
(2nd) Inte |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
Face-to-face |
| Submitting Graduation thesis, presentation of graduation thesis. |
| Credits |
8.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
4
:
Undergraduate Advanced
|
| Course Area（Area） |
23
:
Arts and Humanities |
| Course Area（Discipline） |
07
:
History |
| Eligible Students |
8 |
| Keywords |
Graduation thesis |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | The final class for judging Attainment level of the “History” Program |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | History
（Comprehensive Abilities）
・Acquiring the ability of deriving structural and unique opinions and logically expressing them in spoken and written forms |
|---|
Class Objectives
/Class Outline |
Writing the Graduation thesis. |
| Class Schedule |
lesson1 none
lesson2 none
lesson3 none
lesson4 none
lesson5 none
lesson6 none
lesson7 none
lesson8 none
lesson9 none
lesson10 none
lesson11 none
lesson12 none
lesson13 none
lesson14 none
lesson15 none. Submitting the graduation thesis.
None
When using generative AI for writing your graduation thesis or conducting research for it, ensure you thoroughly discuss the methods and purposes with your advisor before using it appropriately. If used, save all prompts and output results and keep them available to present to your advisor if necessary.
Note that regardless of generative AI usage, if any of the following issues are found in your thesis, it may be judged as not meeting the passing standard:
・Arguments not grounded in historical sources or non-empirical discussions
・References to non-existent historical sources, texts, or research literature
・Unnecessary, inappropriate, or excessive use of ambiguous modifiers or abstract terminology
・Superficial content that merely repeats plausible or obvious statements |
Text/Reference
Books,etc. |
All books, articles and historical materials for the thesis. |
PC or AV used in
Class,etc. |
Microsoft Teams |
| (More Details) |
|
| Learning techniques to be incorporated |
Discussions |
Suggestions on
Preparation and
Review |
None |
| Requirements |
Keeping the quantity of the thesis. |
| Grading Method |
The level of the thesis (90/100), Oral examination (10/100) |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
Students should begin preparation for their graduation thesis as early as possible. We sincerely hope that you will not start preparing your graduation thesis after registering for this course. |
| 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. |