강의계획서
| 교과목코드 | ES260001 | 교과목명 | 기계학습및지능형재난안전시스템 |
|---|---|---|---|
| 강의학과 | 재난안전학과 | 교수 | 신동일 |
| 교수소속 | 화공신소재공학부 화학공학전공 | 이수학년 | |
| 과목구분 | 과정구분 | 석·박사공통 | |
| 이메일 | dongil@mju.ac.kr | 전화번호 | 031-330-6389 |
| 주차 | 주제 |
|---|---|
| 1주차 | Introduction to Disaster AI & The Geometric View |
| 2주차 | Linear Regression & Disaster Risk Modeling |
| 3주차 | Classification for Emergency Detection (Logistic Regression) |
| 4주차 | Neural Networks Demystified: The Architecture of Safety |
| 5주차 | Backpropagation & Optimization in High-Stakes Contexts |
| 6주차 | Convolutional Neural Networks (CNN) for Disaster Imagery |
| 7주차 | Advanced Computer Vision: Object Detection in Crisis Lisp language and constrained programming |
| 8주차 | Mid-term Project: Developing a Visual Anomaly Detector |
| 9주차 | Recurrent Neural Networks (RNN) & LSTM for Time-Series Safety |
| 10주차 | Attention Mechanisms & Transformers in Disaster Messaging |
| 11주차 | Generative AI for Disaster Synthesis |
| 12주차 | Reinforcement Learning for Emergency Response |
| 13주차 | Explainable AI (XAI) for Public Safety Decisions |
| 14주차 | Edge AI & Real-time Deployment Engineering |
| 15주차 | Final Presentation: Integrated AI System for Societal Resilience |
| 16주차 |