| Academic Year |
2024Year |
School/Graduate School |
School of Informatics and Data Science |
| Lecture Code |
KA113001 |
Subject Classification |
Specialized Education |
| Subject Name |
線形モデル |
Subject Name
（Katakana） |
センケイモデル |
Subject Name in
English |
Linear Regression Model |
| Instructor |
ANDRADE SILVA DANIEL GEORG |
Instructor
(Katakana) |
アンドラーデ シルバ ダニエル ゲオルグ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, First Semester, 2Term |
| Days, Periods, and Classrooms |
(2T) Tues9-10,Weds9-10：ENG 220 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| This course is offered and instructed in Japanese. Please refer to the Japanese syllabus. |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| 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) | Computer Science Program
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.
Data Science Program
（Knowledge and Understanding）
・D1. Knowledge and ability to understand the theoretical framework of statistics and data analysis and to analyze qualitative/quantitative information of big data accurately and efficiently.
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.
Intelligence Science Program
（Knowledge and Understanding）
・D1. A deep systematic understanding of the advanced intelligence of human beings and its realization by computers.
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis. |
|---|
Class Objectives
/Class Outline |
This course is offered and instructed in Japanese. Please refer to the Japanese syllabus. |
| Class Schedule |
This course is offered and instructed in Japanese. Please refer to the Japanese syllabus.
|
Text/Reference
Books,etc. |
This course is offered and instructed in Japanese. Please refer to the Japanese syllabus. |
PC or AV used in
Class,etc. |
|
| (More Details) |
This course is offered and instructed in Japanese. Please refer to the Japanese syllabus. |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
This course is offered and instructed in Japanese. Please refer to the Japanese syllabus. |
| Requirements |
|
| Grading Method |
This course is offered and instructed in Japanese. Please refer to the Japanese syllabus. |
| 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. |