| Academic Year |
2024Year |
School/Graduate School |
School of Science |
| Lecture Code |
HB395038 |
Subject Classification |
Specialized Education |
| Subject Name |
数学情報課題研究 |
Subject Name
（Katakana） |
スウガクジョウホウカダイケンキュウ |
Subject Name in
English |
Special Study of Mathematics and Informatics for Graduation |
| Instructor |
HONDA NAOKI |
Instructor
(Katakana) |
ホンダ ナオキ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
4th-Year, Second Semester, Second Semester |
| Days, Periods, and Classrooms |
(2nd) Inte |
| Lesson Style |
Research |
Lesson Style
(More Details) |
|
| Research project |
| Credits |
5.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
4
:
Undergraduate Advanced
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
01
:
Mathematics/Statistics |
| 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) | Mathematics
（Abilities and Skills）
・To acquire basic mathematical abilities (Ability to understand concepts, calculation ability, argumentation ability).
・To acquire skills to formulate and solve mathematical questions.
・To learn basic knowledge, skills, and attitudes related to information. Based on them, to be able to process, output and input information, as well as to utilize information appropriately.
（Comprehensive Abilities）
・Acquiring a ability to think logically.
・To acquire ability to utilize mathematical thinking.
・To acquire the ability to understand sentences and communicate information.
・To improve one's ability to learn independently.
・Acquiring a mannar of tackling problems |
|---|
Class Objectives
/Class Outline |
To learn data-driven modeling of biological phenomena based on mathematical modeling and machine learning. |
| Class Schedule |
lesson1: seminar
lesson2: seminar
lesson3: seminar
lesson4: seminar
lesson5: seminar
lesson6: seminar
lesson7: seminar
lesson8: seminar
lesson9: seminar
lesson10: seminar
lesson11: seminar
lesson12: seminar
lesson13: seminar
lesson14: seminar
lesson15: seminar
none |
Text/Reference
Books,etc. |
Pattern Recognition and Machine Learning by Christopher M. Bishop
|
PC or AV used in
Class,etc. |
|
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Learn mathematical methods and biology in a well-balanced manner for applying them to their own research. |
| Requirements |
|
| Grading Method |
Evaluation is made based on the overall performance in the seminar talks and the outcome of graduation thesis.
|
| 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. |