Welcome to my Open Archive.
I am a researcher transitioning from Economics to AI & Network Science.
This repository is dedicated to sharing the learning curve I navigated to adapt to the 4th Industrial Revolution,
hoping to serve as a compass for future economists and interdisciplinary researchers.
Python Fundamentals for Undergraduate Economists
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"From basic syntax to supply/demand visualization." This course is designed to bridge the gap between traditional economic theory and modern data science. It moves beyond STATA/SPSS, empowering students to handle public data and visualize economic models using Python & Pandas.
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"Principle of Economic Lecture note with real data and recent Issues." This course is Designed for Basic economic study for the Undergrade Student Principle of Economics with classical way and the Data Driven way in Korea.
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A curated path from foundational economics to advanced computational research.
Materials are being archived using Quarto and JupyterBook.
| Phase | Level | Key Subjects & Modules |
|---|---|---|
| π± Freshman | Foundation Tools & Literacy |
Principles of Economics Academic Writing with LaTeX Intro to Math for Economists Economic Statistics Logic & Critical Thinking Business Administration Overview
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| πΏ Sophomore | Core Theory Modeling & Analysis |
Micro/Macroeconomic Theory History of Economic ThoughtData Collection & Analysis Statistical Modeling Linear Algebra Calculus Real Analysis Differential Equations
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| π³ Junior | Advanced Applied Economics |
Labor Economics Game Theory Public FinanceMonetary Economics Int'l Finance Law & EconomicsEconometrics Mathematical Economics WTO Agreements
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| π Senior | Frontier Research & Integration |
Network Economics Industrial Organization Time-Series AnalysisProduction Economics Valuation & Risk Management β¨ PBL: Real-time Economic Dashboard & Thesis Writing |
| Field | Stack |
|---|---|
| π§ AI & Network Science |
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| π Documentation & Publishing |
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| π» Backend & DevOps |
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