| Academic Year |
2026Year |
School/Graduate School |
School of Applied Biological Science |
| Lecture Code |
L2019009 |
Subject Classification |
Specialized Education |
| Subject Name |
国際漁業学II |
Subject Name
（Katakana） |
コクサイギョギョウガクII |
Subject Name in
English |
International FisheryII |
| Instructor |
OSHIMO SEIJI,TOMIYAMA TAKESHI |
Instructor
(Katakana) |
オオシモ セイジ,トミヤマ タケシ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, First Semester, Intensive |
| Days, Periods, and Classrooms |
(Int) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face, Online (on-demand) |
| |
| Credits |
1.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
26
:
Biological and Life Sciences |
| Course Area（Discipline） |
01
:
Agricultural Sciences |
| Eligible Students |
|
| Keywords |
Computer programming, Practice |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | Learn practical analytical methods as tools for sustainable assessment and management of marine resources. |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | Integrative Hydrospheric Science Program
（Knowledge and Understanding）
・To understand management, expansion, utilization of fishing resources as well as economic activities of the fishing industry. |
|---|
Class Objectives
/Class Outline |
To understand management of marine animals based on scientific knowledge as tools with collective human wisdom for sustainable international society. |
| Class Schedule |
lesson1 Introduction, how to use "R"
lesson2 Statistical analyses (t-test, F-test, multiple comparison)
lesson3 GLM 1 (introduction involving theoretical background)
lesson4 GLM 2 (growth and normal distribution)
lesson5 GLM 3 (maturation and binomial distribution)
lesson6 GLM 4 (various distribution patterns)
lesson7 Basics of the biodoversity and multivariate analyses
lesson8 Reporting
Report |
Text/Reference
Books,etc. |
Materials will be distributed as needed. |
PC or AV used in
Class,etc. |
Handouts, Microsoft Teams, moodle |
| (More Details) |
Handouts will be provided |
| Learning techniques to be incorporated |
Discussions, Quizzes/ Quiz format, Post-class Report |
Suggestions on
Preparation and
Review |
Instructions will be given as needed during the lecture. |
| Requirements |
Nothing |
| Grading Method |
Report |
| Practical Experience |
Experienced
|
| Summary of Practical Experience and Class Contents based on it |
An expert scientist in fisheries biology in Japan. |
| 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. |