Akademik Dersler - Tanıtım


Code - Course Title	KRY530 - Artificial Intelligence Applications in Urban Risk Management
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	PROFESÖR DOKTOR HAKAN AHMET NEFESLİOĞLU
Mode of Delivery
Prerequisites
Courses Recomended
Required or Recommended Resources	Satishkumar, D., & Sivaraja, M. (Eds.). (2024). Utilizing AI and machine learning for natural disaster management. IGI Global.Xiong, K., He, B. J., & Sharifi, A. (2021). Resilient Smart Cities: Theoretical and Empirical Insights.
Recommended Reading List
Assessment methods and criteria
Work Placement
Sustainability Development Goals	Clean Water and Sanitation , Accessible and Clean Energy , Industry, Innovation and Infrastructure , Sustainable Cities and Communities , Climate Action

Weeks	Topics
Week - 1	Course Overview and Introduction to Data Science
Week - 2	Python Basics (1)
Week - 3	Python Basics (2)
Week - 4	Data Processing and Pandas
Week - 5	Data Visualization
Week - 6	Geospatial Data (Vector)
Week - 7	Geospatial Data (Raster, DEM)
Week - 8	Statistics and Data Analysis
Week - 9	Introduction to Machine Learning
Week - 10	ML Applications in Geosciences
Week - 11	Remote Sensing Data
Week - 12	Time Series Analysis
Week - 13	Big Data and Cloud Tools (1)
Week - 14	Big Data and Cloud Tools (2)

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	40
Final Exam	1	60
Toplam (%)		100