| Academic Year |
2024Year |
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 |
TRAN ANH DUC |
Instructor
(Katakana) |
チャン アン ダック |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, Intensive |
| Days, Periods, and Classrooms |
(Int) Inte：IMC-Main 2F Seminar Rm |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| 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 |
lesson1 Introduction
lesson2 Estimation of population characteristics (Concept 1)
lesson3 Estimation of population characteristics (Concept 2)
lesson4 Visualization for estimation result (Implementation 1)
lesson5 Visualization for estimation result (Implementation 2) and Assignment
lesson6 Statistical prediction (Concept 1)
lesson7 Visualization for prediction results
lesson8 Final report
<Class Schedule>
January 11 (Sat)
*10:00 - 12:00,13:00 - 17:00
January 12 (Sun)
*10:00 - 12:00,13:00 - 16:30 |
Text/Reference
Books,etc. |
Students are required to bring their laptops to the class. |
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 |
You should carefully review class contents.
|
| Requirements |
|
| Grading Method |
Report, Quiz, Attitude toward the class
Final report (60%)
Mid-term report (30%)
Participation for class-room discussion (10%)
|
| 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. |