Academic Year |
2024Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) |
Lecture Code |
WRA11301 |
Subject Classification |
Specialized Education |
Subject Name |
データビジュアライゼーションA |
Subject Name (Katakana) |
データビジュアライゼーションエー |
Subject Name in English |
Data Visualization A |
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) |
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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 |
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Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | |
Class Objectives /Class Outline |
How to present/show your data effectively? This course will provide both basic principles and practical knowledge of data visualization. After this course, students are expected to obtain the skills of data-visualization and data-driven conversation. |
Class Schedule |
lesson1 Introduction lesson2 Data, variables and graphs lesson3 Overview of basic principles of visualization lesson4 Visualization for single variable (Concept) lesson5 Visualization for single variable (Implementation) and Assignment lesson6 Visualization for multiple variable (Concept) lesson7 Visualization for multiple variable (Implementation) lesson8 Final report
<Class Schedule> December 21 (Sat) *10:00 - 12:00,13:00 - 17:00 December 22 (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 |
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Suggestions on Preparation and Review |
You should carefully review class contents. |
Requirements |
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Grading Method |
Report, Quiz, Attitude toward the class Final report (60%) Mid-term report (30%) Participation for class-room discussion (10%) |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
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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. |