Information Package / Course Catalogue
Digital Aquaculture and Artificial Intelligence
Course Code: LVS240
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

The objective of this course is to equip students with fundamental knowledge and skills related to digital aquaculture systems, artificial intelligence applications, sensor technologies, data-driven production management, and smart fish health monitoring systems. This course aims to enhance students' understanding of innovative technologies used in modern aquaculture practices.

Course Content

This course covers digital transformation processes in aquaculture, artificial intelligence-supported production technologies, and data-driven management practices. Topics include sensor technologies, water quality monitoring systems, the Internet of Things (IoT), big data analytics, and intelligent feeding systems.

Name of Lecturer(s)