| Academic Year |
2025Year |
School/Graduate School |
Graduate School of Integrated Sciences for Life (Doctoral Course) Division of Integrated Sciences for Life Program of Bioresource Science |
| Lecture Code |
WD302337 |
Subject Classification |
Specialized Education |
| Subject Name |
統合生命科学特別研究 |
Subject Name
（Katakana） |
トウゴウセイメイカガクトクベツケンキュウ |
Subject Name in
English |
Research for Academic Degree Dissertation in Integrated Life Sciences |
| Instructor |
YONEZAWA TAKAHIRO |
Instructor
(Katakana) |
ヨネザワ タカヒロ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, Year |
| Days, Periods, and Classrooms |
(Year) Inte |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
Face-to-face, Online (simultaneous interactive) |
| |
| Credits |
12.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
7
:
Graduate Special Studies
|
| Course Area（Area） |
26
:
Biological and Life Sciences |
| Course Area（Discipline） |
01
:
Agricultural Sciences |
| Eligible Students |
|
| Keywords |
|
| 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 |
The goal is to acquire the basic skills of an independent researcher: the ability to formulate a research plan based on one's own ideas and actually carry out the research, the ability to identify and solve problems when unexpected results occur in carrying out the research, and the ability to write papers and communicate with reviewers. |
| Class Schedule |
lesson1: Data analysis, Discussion
lesson2: Data analysis, Discussion
lesson3: Data analysis, Discussion
lesson4: Data analysis, Discussion
lesson5: Data analysis, Discussion
lesson6: Data analysis, Discussion
lesson7: Data analysis, Discussion
lesson8: Data analysis, Discussion
lesson9: Data analysis, Discussion
lesson10: Data analysis, Discussion
lesson11: Data analysis, Discussion
lesson12: Data analysis, Discussion
lesson13: Data analysis, Discussion
lesson14: Data analysis, Discussion
lesson15: Data analysis, Discussion
lesson16: Writing paper, Discussion
lesson17: Writing paper, Discussion
lesson18: Writing paper, Discussion
lesson19: Writing paper, Discussion
lesson20: Writing paper, Discussion
lesson21: Writing paper, Discussion
lesson22: Writing paper, Discussion
lesson23: Writing paper, Discussion
lesson24: Writing paper, Discussion
lesson25: Writing paper, Discussion
lesson26: Writing paper, Discussion
lesson27: Writing paper, Discussion
lesson28: Writing paper, Discussion
lesson29: Writing paper, Discussion
lesson30: Writing paper, Discussion |
Text/Reference
Books,etc. |
Refer to articles published in peer-reviewed journals
|
PC or AV used in
Class,etc. |
Text, Handouts, Audio Materials, Visual Materials, Zoom |
| (More Details) |
|
| Learning techniques to be incorporated |
Discussions, Fieldwork / Survey, Project Learning |
Suggestions on
Preparation and
Review |
Data analysis may seem daunting at first, but don't be afraid to try your hand at it. In the process, you will discover the essence of what you are doing. |
| Requirements |
|
| Grading Method |
Aim to actually promote your own research to a level that will allow you to publish in peer-reviewed journals. |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
Let' enjoy the science! |
| 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. |