| Academic Year |
2026Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) |
| Lecture Code |
WRA11401 |
Subject Classification |
Specialized Education |
| Subject Name |
データビジュアライゼーションＢ |
Subject Name
（Katakana） |
データビジュアライゼーションビー |
Subject Name in
English |
Data Visualization B |
| Instructor |
VU HA THU,TRAN ANH DUC |
Instructor
(Katakana) |
ヴ ハ トゥ,チャン アン ダック |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, Intensive |
| Days, Periods, and Classrooms |
(Int) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face |
| Lecture・ Work |
| Credits |
1.0 |
Class Hours/Week |
|
Language of Instruction |
E
:
English |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
03
:
Economics |
| 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) | |
|---|
Class Objectives
/Class Outline |
In addition to visualizing your data mentioned in Data visualization A, this course focuses on visualizing results of statistical estimation. After this course, students are expected to obtain the skills of data-visualization and data-driven conversation. |
| Class Schedule |
Lesson 1: Data transformation
Lesson 2: Data transformation (cont')
Lesson 3: Communication with graphs
Lesson 4: Communication with graphs (cont')
Lesson 5: Visualizing spatial data with maps
Lesson 6: Visualizing spatial data with maps (cont')
Lesson 7: Visualizing spatial data with maps (cont')
Lesson 8: Final exam
<Class Schedule>
January 23 (Sat), 2027
*10:00 - 12:00,13:00 - 17:00
January 24 (Sun), 2027
*10:00 - 12:00,13:00 - 16:30 |
Text/Reference
Books,etc. |
Handouts are distributed at the class
Students are required to bring their laptops. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Students are required to bring their laptops to the class. |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Students are required to attend Data Visualization A as a prerequisite.
|
| Requirements |
|
| Grading Method |
Final exam (70%)
Participation in in-class discussion (30%) |
| 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. |