Overview

• 본 레포지토리는 학부과정/대학원 과정 동안 배웠던 산업공학과 교과목들에 대한 스터디 자료와 과제들을 정리하여 모아놓은 모음입니다.
• Categories: finance, statistics, data science, HCI, optimization.

Courses I learned

Finance

• Economic engineering *
• Financial engineering **
• Financial statistics *
• Risk management **
• Integrated risk management
• Financial accounting

Statistics

• Engineering statistics
• Mathematics for data science
• Time series analysis
• Applied stochastic processes

Data science

• Python programming **
• Object oriented programming *
• C Language (C++) **
• Database
• Database design *
• Industrial engineering experiment *
• Computer programming (C) *
• Deep Learning **
• Algorithm *
• System Simulation
• E-business **
• Advanced machine learning *
• Machine learning for graphs neural network

HCI

• Ergonomics *

Optimization

• Operation research 1
• Operation research 2
• Dynamic programming and application of reinforcement learning