Day 1: Introduction and Advanced GIS Technologies

• Review of GIS fundamentals

• Advanced data acquisition technologies (remote sensing, drones, LiDAR)

• Global Positioning System (GPS) and its role in GIS

• Big Data analytics in Geographic Information Systems

Day 2: Advanced Spatial Analysis and Data Modeling

• Advanced spatial analysis techniques

• Spatial behavior modeling and statistical modeling

• Network analysis and terrain modeling

• Use of advanced software (ArcGIS Pro, QGIS, ENVI)

Day 3: GIS Applications Across Various Fields

• GIS applications in urban planning and infrastructure

• GIS in natural resource and environmental management

• GIS in disaster and emergency management

• Applications of GIS in transportation and logistics

Day 4: Integration of GIS with Modern Technologies

• Integration of GIS with Artificial Intelligence and Machine Learning

• Internet of Things (IoT) applications in GIS

• Augmented Reality (AR) and Virtual Reality (VR) in GIS

• GIS-based Decision Support Systems (DSS)

Day 5: Future Trends and Challenges in GIS

• Recent advancements in GIS technology

• Privacy and security issues in GIS

• Innovations and future challenges

• Case studies and advanced practical applications