| Academic Year |
2026Year |
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 |
WSN23701 |
Subject Classification |
Specialized Education |
| Subject Name |
Bayesian inference |
Subject Name
（Katakana） |
ベイジアンインファレンス |
Subject Name in
English |
Bayesian inference |
| Instructor |
NUNES TENDEIRO JORGE |
Instructor
(Katakana) |
ナヌッシュ テンデイル ジョージ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Tues7-8,Thur7-8 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face |
| |
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
E
:
English |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
01
:
Mathematics/Statistics |
| Eligible Students |
|
| Keywords |
Bayesian inference, statistical methods, R |
| 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 |
Learn the basics of Bayesian data analysis.
Use R and GitHub for programming and file management.
Learn about reference management. |
| Class Schedule |
L01: Introduction. R, RStudio, RMarkdown
L02: LaTeX, Overleaf. Reference management
L03: Github (terminal)
L04: GitHub (GitHub desktop)
L05: Data visualization
L06: Practical session
L07: Bayesian inference 1 (generals)
L08: Bayesian inference 2 (generals)
L09: Bayesian inference 3 (model comparison)
L10: Practical session
L11: Bayesian hypothesis testing
L12: Practical session
L13: Bayesian IRT - Dichotomous
L14: Bayesian IRT - Polytomous
L15: Practical session |
Text/Reference
Books,etc. |
Not specified |
PC or AV used in
Class,etc. |
Handouts, Audio Materials, Visual Materials, moodle |
| (More Details) |
|
| Learning techniques to be incorporated |
Discussions, Flip Teaching |
Suggestions on
Preparation and
Review |
Review each lesson using lecture materials. |
| Requirements |
|
| Grading Method |
Assignments, presentations. |
| 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. |