Information Package / Course Catalogue
| Course Code | : LVS230 |
| Course Type | : Required |
| 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 aim of this course is to provide students with fundamental knowledge of artificial intelligence, robotic systems, sensor technologies, and data-driven management applications used in the fields of animal husbandry and animal health. The course also aims to enable students to understand the contributions of smart livestock farming systems to production efficiency, animal welfare, and health management.
Digital transformation in livestock farming; fundamentals of robotic systems; sensor technologies; the Internet of Things (IoT); herd management systems; robotic milking and feeding technologies; applications of artificial intelligence and machine learning; image processing systems; digital monitoring of animal behavior; early disease detection systems; big data analytics; decision support systems; animal welfare monitoring technologies; and issues related to ethics and sustainability will be covered in this course.
| 1. | Explains the fundamental concepts of artificial intelligence and robotic systems; identifies automation, sensor, and data acquisition technologies used in animal husbandry. |
| 2. | Evaluates AI-supported herd management applications as well as robotic milking and feeding systems. |
| 3. | Explains and interprets artificial intelligence- and image processing-based technologies used for animal behavior monitoring and early disease detection. |
| 4. | Evaluates the advantages and limitations of digital livestock farming applications, taking into account their data security, ethical, and sustainability dimensions. |
| 5. | Predicts current and future development areas of smart livestock farming technologies and discusses their impact on professional practices. |
| 1. | Erol, O. (2024). Artificial intelligence and robotics. In Dynamics transformed by artificial intelligence 2 (p. 109). |
| 2. | Işık, A. H., Alakuş, F., & Eskicioğlu, Ö. C. (2021). Robotic systems and artificial intelligence applications in animal husbandry. Duzce University Journal of Science and Technology, 9(6), 370–382. |
| 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 | 2 | 42 |
| Assignment | 1 | 5 | 2 | 7 |
| Quiz | 1 | 5 | 1 | 6 |
| Midterm Examination | 1 | 8 | 1 | 9 |
| Final Examination | 1 | 10 | 1 | 11 |
| TOTAL WORKLOAD (hours) | 75 | |||
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 | 1 | 2 | 1 | 4 | 3 | 4 | 4 | 3 | 2 | 3 | 2 | 2 | 3 |
OÇ-2 | 4 | 2 | 3 | 4 | 3 | 3 | 3 | 5 | 5 | 3 | 2 | 3 | 2 | 3 | 2 |
OÇ-3 | 4 | 4 | 4 | 3 | 5 | 4 | 3 | 5 | 5 | 4 | 3 | 4 | 1 | 3 | 1 |
OÇ-4 | 2 | 2 | 3 | 4 | 2 | 3 | 3 | 4 | 4 | 4 | 3 | 2 | 2 | 4 | 1 |
OÇ-5 | 2 | 2 | 2 | 2 | 2 | 4 | 2 | 4 | 4 | 4 | 3 | 4 | 2 | 3 | 1 |