The Graduate School is offering the "Graduate Student Data Visualization Training" to support effective research and paper visualization. Interested graduate students, research staff, and students are encouraged to apply.
Program Name: 2024 Graduate Student Data Visualization Training
Method: Online (ZOOM) Lectures
Course Schedule:
| Week | Topic | Details |
|---|---|---|
| Week 1 (Aug 6, 7 PM) | Creating Paper Figures Using Adobe Illustrator | Theory: Reference search, design planning, understanding basic tools and interface of Adobe Illustrator. Practice: Analyzing actual paper figure creation examples, creating figures in Adobe Illustrator based on sketches. |
| Week 2 (Aug 13, 7 PM) | Creating Presentation Materials Using Microsoft PowerPoint | Theory: Basic functions of Microsoft PowerPoint, slide design, slide layout, template use, color and font selection tips. Practice: Inserting and editing graphs and charts in Microsoft PowerPoint. |
| Week 3 (Aug 20, 7 PM) | Data Visualization (Basic) | Theory: Learning data preprocessing methods using spreadsheet data. Practice: Data visualization using Google Colab Python environment. |
| Week 4 (Aug 27, 7 PM) | Data Visualization (Advanced) | Theory: Various visualization techniques for different data analysis purposes. Practice: Analysis and visualization practice based on data. |
Application Period: Until August 23 (Fri) (Individual application periods vary for each course)
How to Apply: Graduate School Website → Student Success Support → GradGrow (Non-Credit Program) (https://zrr.kr/mXaF)
Eligibility: Graduate students, special graduate school students, students in combined master's and doctoral programs (including students who have completed coursework and are registered).
Request: Please share the program information with departments, academic units, and communication channels (e.g., KakaoTalk group chat).
Contact: Graduate School Talent Development Office (☎5918, senyan@jnu.ac.kr)
Attachment: 2024 Graduate Student Data Visualization Training Information.