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Week - 1 |
Introduction to Artificial Intelligence: The Concept of artificial intelligence, Its development |
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Week - 2 |
Subfields of Artificial Intelligence: Machine learning, Deep learning, Natural language processing. |
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Week - 3 |
Artificial Intelligence Application Tools: Text, Image, Presentation, and Content generation tools. |
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Week - 4 |
Generative Artificial Intelligence and Current Applications: Basic concepts, Working principles, Types. |
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Week - 5 |
; Artificial Intelligence in Spatial Problems: Definition of spatial problems, Classification, Prediction, Pattern recognition, Data collection, Data preparation, Model building, Interpretation of results. |
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Week - 6 |
Spatial Data for Artificial Intelligence: Spatial data and its types, Data quality. |
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Week - 7 |
Use of Artificial Intelligence in GIS: The use of artificial intelligence with geographic data, Artificial intelligence in spatial problems, The relationship between GIS and artificial intelligence, Application areas. |
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Week - 8 |
GIS-Based Artificial Intelligence Tools: Satellite image analysis tools, Map-based analysis tools, No-code and low-code applications. |
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Week - 9 |
Ethics and Data Security in Artificial Intelligence: Data privacy, Data security, Reliability, Responsible use of artificial intelligence. |
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Week - 10 |
Examples in Construction and Urban Planning. |
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Week - 11 |
Examples in Disaster and Emergency Management. |
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Week - 12 |
Examples in Transportation and Traffic Analysis. |
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Week - 13 |
Examples in Urban Services and Municipal Applications. |
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Week - 14 |
Current Applications and New Technologies. |