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Computer Applications in Livestock Production Advanced

Course Description: This course aims to develop skills in using advanced computing technologies for the analysis and management of animal production systems. The course includes applications of statistical data analysis, bi modeling, decision support systems, and database management, in addition to using specialized software to improve productivity and economic efficiency. The course also addresses applications of artificial intelligence and digital transformation in the field of animal production.
Credits: 2
Objectives of the course :

1. Using advanced software in the analysis of livestock data.
2. Application of statistical methods and modeling in the interpretation of production phenomena.
3. Designing and managing databases for livestock production projects.
4. Using Decision Support Systems to Improve Production Efficiency.
5. Employing artificial intelligence techniques to solve applied problems.
6. Evaluating and analyzing data to make evidence-based decisions.

Course outputs :

1. Clarify advanced concepts for computer applications in analyzing and managing animal production systems, including biostatistics, modeling, and information systems.
Analyze complex production data and draw scientific conclusions using appropriate computational tools.
3. Use of specialized software (such as statistical analysis programs, spreadsheets, and databases) in processing animal production data.
4. Preparing scientific reports and presentations using digital media and working in a team to manage research and applied projects.

Additional information:

Course Content
1. Introduction to Digital Transformation in Livestock Production
2. Data Management and Information Systems in Livestock Farms
3. Advanced Spreadsheet Applications in Data Analysis
4. Statistical analysis using specialized software
5. Mathematical Modeling in Animal Production
6. Decision Support Systems
7. Big Data Analysis in Animal Production
8. Artificial Intelligence Applications
9. Database Management
10. Geographic Information System (GIS) Applications in Animal Production
11. Analysis of Productive and Economic Efficiency
12. Designing Experiments and Analyzing Their Results Using Computers
13. Forecasting and Applied Statistics
14. Applications of Remote Sensing and the Internet of Things (IoT) in Agriculture
15. Case Studies and Practical Applications

  • Last updated: 2026-04-20

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