MYZ 305E - Artificial Intelligence in Geomatics Engineering

Course Objectives

This course, which covers fundamental topics and current applications within artificial intelligence, emphasizes the intersection of geomatics engineering and artificial intelligence. This course aims to examine and develop artificial intelligence techniques and their applications in geomatics engineering. Focusing on the theoretical foundation and up-to-date software support for artificial intelligence techniques such as machine learning, deep learning, data mining, model development and evaluation, the course explores their applications in various fields, including urban and rural land management, planning, environmental monitoring, and smart agriculture.

Course Description

This course, which covers fundamental topics and current applications within artificial intelligence, emphasizes the intersection of geomatics engineering and artificial intelligence. This course aims to examine and develop artificial intelligence techniques and their applications in geomatics engineering. Focusing on the theoretical foundation and up-to-date software support for artificial intelligence techniques such as machine learning, deep learning, data mining, model development and evaluation, the course explores their applications in various fields, including urban and rural land management, planning, environmental monitoring, and smart agriculture.