Information Package / Course Catalogue
| Course Code | : LVS240 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 1 |
| Prt. | : 1 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 3 |
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.
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.
| 1. | Analyzes the fundamental principles of digital aquaculture systems. |
| 2. | Evaluates artificial intelligence applications used in aquaculture. |
| 3. | Interprets sensor technologies and data collection systems. |
| 4. | Evaluates water quality monitoring technologies in terms of sustainable production. |
| 5. | Analyzes artificial intelligence-supported feeding systems. |
| 6. | Evaluates digital fish health monitoring systems. |
| 7. | Explains the use of IoT and big data applications in aquaculture. |
| 8. | Discusses the contributions of digitalization to sustainable aquaculture. |
| 9. | Keeps up to date with current digital technologies. |
| 1. | Smart Aquaculture Technologies |
| 2. | Artificial Intelligence Applications in Aquaculture |
| 3. | Fisheries and Aquaculture Engineering |
| 4. | FAO Digital Aquaculture Reports |
| 5. | Recent SCI-Indexed and International Peer-Reviewed Journal Articles |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %5 |
| Quiz | 1 | %5 |
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 1 | 28 |
| Lecture - Practice | 14 | 1 | 1 | 28 |
| Assignment | 1 | 0 | 0 | 1 |
| Quiz | 1 | 0 | 0 | 1 |
| Midterm Examination | 1 | 8 | 0 | 8 |
| Final Examination | 1 | 8 | 0 | 8 |
| TOTAL WORKLOAD (hours) | 74 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | |
OÇ-1 | 1 | 1 | 2 | 1 | 2 | 5 | 3 | 4 | 4 | 5 | 1 | 1 | 2 | 1 | 2 |
OÇ-2 | 1 | 1 | 1 | 1 | 2 | 5 | 2 | 5 | 5 | 5 | 1 | 1 | 2 | 1 | 3 |
OÇ-3 | 1 | 1 | 2 | 1 | 2 | 5 | 3 | 4 | 5 | 4 | 1 | 1 | 1 | 1 | 2 |
OÇ-4 | 2 | 1 | 2 | 2 | 4 | 5 | 5 | 4 | 3 | 5 | 1 | 1 | 1 | 3 | 2 |
OÇ-5 | 2 | 1 | 1 | 1 | 3 | 5 | 4 | 4 | 5 | 5 | 1 | 1 | 1 | 2 | 2 |
OÇ-6 | 2 | 2 | 2 | 2 | 5 | 5 | 4 | 4 | 5 | 5 | 1 | 1 | 1 | 2 | 2 |
OÇ-7 | 1 | 1 | 2 | 1 | 2 | 4 | 3 | 5 | 5 | 4 | 1 | 1 | 2 | 1 | 3 |
OÇ-8 | 1 | 1 | 1 | 3 | 3 | 4 | 5 | 5 | 3 | 4 | 2 | 2 | 3 | 4 | 2 |
OÇ-9 | 1 | 1 | 1 | 1 | 1 | 4 | 2 | 5 | 5 | 3 | 2 | 1 | 5 | 2 | 4 |