Postgraduate Course “Design of Experiments in Agronomic Models”
Registration for the Online Postgraduate Course is open until June 8, 2026 “Design of Experiments in Agronomic Models“. Generalities of Experiment Design. Theoretical foundations and applications in Agronomy.
Destined to: Doctoral students from the Faculty of Agricultural Sciences, Agricultural Engineers, Graduates in Biotechnology, Veterinarians, Biologists and careers related to Bioinformatics.
Start of course: June 8th, 2026
Duration: 4 weeks – Total workload: 50 hours. Postgraduate course with granting of credits.
Online mode. The teaching of the course will be developed through the Moodle platform of the Virtual Campus of the UNR.
Quota: Minimum: 5 students. Maximum: 25 students.
Foundation.
The teaching of statistics in the distance modality is based on the benefits that information and communication technologies (ICT) can offer. ICT constitutes a useful didactic support to face the difficulties that arise in the understanding of certain concepts.
Statistics, clearly, is the common denominator in research that involves data analysis to test a research hypothesis. The increase in the use of statistics in research has been evident in recent decades, and it has become a fundamental tool for predictions and decision making based on the observation of a set of data. Sometimes these data come from experimental studies, and the objective of statistics is to analyze these data according to the design used and formulate conclusions.
The design of experiments is a fundamental tool in various areas in which a process is sought to be evaluated. Statistical methodology is a real necessity within the analysis of data from different experimental designs, and plays a fundamental role in the rigor of decision-making based on experimentation. The correct use of statistical methodology usually increases the efficiency of experiments.
In Agronomy, experimentation plays an important role in the development of new techniques. In this sense, statistics constitutes a favorable instrument for the correct design of the experiment and the subsequent analysis of the data obtained.
For more information: cbeltran2510@gmail.com https://www.campusvirtualunr.edu.ar/oferta_academica/cursos_posgrado/diseno_de_experimentos_en_modelos_agronomicos.html
















