GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES / DISASTER MANAGEMENT / AFY6143 - ARTIFICIAL INTELLIGENCE APPLICATIONS IN DISASTER

Contents Of The Courses in a weekly Period

Week 
Subjects 
Sources 
1Definition of Artificial Intelligence and Key Concepts[1] s. 41-75; [2] s. 25; [3] s. 20-30
2Definition of Machine Learning and Key Concepts[1] s. 79-109 ; [2] s.99-143; [3] s.1-13
3Introduction to Artificial Neural Networks[2] s. 25-32
4Neural Network Architectures[2] s.51-95
5Applications of AI in Pre- and Post-Disaster Phases[2] s.25
6Introduction to Python Programming and Basic Concepts[1] s. 19-38
7Advanced Python Topics[1] s. 116
8AI Applications in Early Warning Systems for Disaster Preparedness[1] s.60
9Disaster Detection and Classification Using Image Processing[2] s.154-158; [3] s.3-36
10Damage Assessment with Remote Sensing Techniques After Disasters[2] s.85
11Crisis Management Using Natural Language Processing (NLP)[1] s.62
12AI-Powered Decision Support Systems and Disaster Response Simulations[1] s.310-312
13Case Studies and Practical Applications [1] s.204
14General Review and Course Wrap-Up[1] s. 41-75; [2] s. 25; [3] s. 20-30