Introduction to agricultural experimentation.

Introduction to agricultural experimentation. Aims of experiments in agriculture. Field experiments, greenhouse experiments, lab experiments. Methodology for setting up agricultural experiments. Randomization, replication, blocking. Intoduction to Analysis of Variance (ANOVA). Statistical hypothesis testing procedures. Experimental error. Completely Randomized Design. Comparisons of means. Randomized Complete Block Design. Latin Square Design. Factorial experiments. Main effects and interactions between factors. Introduction to Linear Regression. Data transformations. Examples and applications. Demonstration of statistical softwares. Practice for designing field experiments.

Teaching/Learning approach:
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Design and manage projects
  • Respect natural environment
  • Advance free, creative and causative thinking
Target Group(s) :
  • The course is also offered to exchange programme students
Assessment Methods:
Student Assessment
100% written exams
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Exam with Problem Solving (Summative)
Competences: Networking, Entrepreneurship, Mathematical, science, technology and engineering, Digital, Digital & ICT, Decision making
Subject: Agricultural Courses
Certification: Yes
Competence Oriented Approach:
Learning Outcomes
Upon completion of this course, students will have: 1) knowledge of the decisions that need to be made when designing and setting up an experiment; 2) knowledge of the options available to them for statistical analysis; 3) practical skills for undertaking those analyses; 4) Critical thinking skills relative to the biological meaning and interpretation of the results of the statistical analyses; 5) the ability to present their findings in a style appropriate to the scientific literature.
Blended Learning Modalities:
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
Powerpoint, video, Excel, SPSS, educational software-tutorial, email.
Documentation Certification: yes
Date/s of the Course:
  • from 2019-10-01 to 2020-02-29
Course Website:
Name of the organising institute: ARISTOTLE UNIVERSITY OF THESSALONIKI
Where to apply:

Contact persons:
  • Georgios Menexes, Assistant Professor, School of Agriculture
EQF level: 6
ECTS/ECVET Points: 5
Course Venue Address: AUTH main campus
54621 Thessaloniki
Organisation Address: AUTH main campus
54621 Thessaloniki