Welcome,
Guest
.
Login
.
Türkçe
NİNOVA
COURSES
HELP
ABOUT
Where Am I:
Ninova
/
Courses
/
Faculty of Civil Engineering
/
MYZ 305E
/
Course Informations
Return to Faculty
Home Page
Course Information
Course Weekly Lecture Plan
Course Evaluation Criteria
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
Courses
.
Help
.
About
Ninova is an ITU Office of Information Technologies Product. © 2026