| Academic Year |
2025Year |
School/Graduate School |
School of Dentistry Program of Dentistry |
| Lecture Code |
J1506020 |
Subject Classification |
Specialized Education |
| Subject Name |
特別科目（情報） |
Subject Name
（Katakana） |
トクベツカモク |
Subject Name in
English |
Special Subject |
| Instructor |
KAKIMOTO NAOYA,NAITO MARIKO,NOMURA RYOTA,KOMATSUZAWA HITOSHI,MINE YUICHI,MURAYAMA TAKESHI,YANAMOTO SOICHI |
Instructor
(Katakana) |
カキモト ナオヤ,ナイトウ マリコ,ノムラ リョウタ,コマツザワ ヒトシ,ミネ ユウイチ,ムラヤマ タケシ,ヤナモト ソウイチ |
| Campus |
Kasumi |
Semester/Term |
3rd-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Weds3-4：DEN Large Lecture Rm |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face, Online (simultaneous interactive), Online (on-demand) |
| Lecture |
| Credits |
1.0 |
Class Hours/Week |
2 |
Language of Instruction |
B
:
Japanese／English |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
26
:
Biological and Life Sciences |
| Course Area（Discipline） |
04
:
Life Sciences |
| Eligible Students |
3rd or 4th Grade |
| Keywords |
Information, mathematics, AI, and big data in the dental program |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | Information, mathematics, AI, and big data in program of dentistry |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
Students will be given a report assignment after the class, which they should review. |
| Class Schedule |
lesson1: Brief introduction of these classes (Kakimoto), Antimicrobial resistance surveillance systems in Japan and in the world (Komatsuzawa)
lesson2: Distribution of Streptococcus mutans in the world (Nomura)
lesson3: Epidemiological data and health informatics (Naito)
lesson4: Multi-institutional clinical research on oral cancer as a rare cancer (Yanamoto)
lesson5: Basics of Machine Learning (Murayama)
lesson6: Artificial Intelligence Research and Applications in Dentistry (Mine)
lesson7: Classifying images using neural networks: an introduction (Rinus and Kakimoto)
lesson8: |
Text/Reference
Books,etc. |
None |
PC or AV used in
Class,etc. |
Handouts, Microsoft Teams, moodle |
| (More Details) |
Printed materials and PC projection (Power point) |
| Learning techniques to be incorporated |
Quizzes/ Quiz format, Post-class Report |
Suggestions on
Preparation and
Review |
Students will be given a report assignment after the class, which they should review. |
| Requirements |
|
| Grading Method |
Reports |
| Practical Experience |
Experienced
|
| Summary of Practical Experience and Class Contents based on it |
These classes will be performed by dentists etc. |
| 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. |