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Course Information

Course Name
Turkish Harita Mühendisliğinde Yapay Zeka
English Artificial Intelligence in Geomatics Engineering
Course Code
MYZ 305E Credit Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester -
2 2 - -
Course Language English
Course Coordinator Muhammed Enes Atik
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.
Course Outcomes
Pre-requisite(s)
Required Facilities
Other
Textbook
Other References
 
 
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