SCHOOL

OF AGRICULTURAL SCIENCES

ACADEMIC UNIT

AGRICULTURE

LEVEL OF STUDIES

UNDERGRADUATE

COURSE CODE

GEB0406-1

SEMESTER

4

COURSE TITLE

Principles of experimental designs
INDEPENDENT TEACHING ACTIVITIES WEEKLY TEACHING
HOURS
CREDITS
Lectures 2
Lab / Op. Exercises 2
Exercises 0

TOTAL HOURS

4 5
COURSE TYPE Special background
PREREQUISITE COURSES
LANGUAGE OF INSTRUCTION and EXAMINATIONS Greek
IS THE COURSE OFFERED TO ERASMUS STUDENTS English

COURSE WEBSITE (URL)

2. LEARNING OUTCOMES

Learning Outcomes


The course aims to provide students with necessary knowledge essential for them in order to create designs, take observations, carry out the experiments and analyze the results of agricultural field experiments.
On successful completion of this module the students will be able to:
1. Understand the basic principles of Agricultural experimentation.
2 – Determine the appropriate size of the experimental plot and the number of replications.
3 - Understand basic concepts: variance, such as analysis of variability, experimental error, etc.
4. Design and set up simple experimental designs
5. Analyze the data and present the results of basic experimental designs.

General Competences

They have the theoretical and practical background concerning the knowledge field of the science of Agriculture and the process of plant production. They have the ability to creatively utilize scientific knowledge and modern technology for the establishment of several kinds of field experiments (plant production) as well as the development of several kinds of experiments in animal production. They have acquired the necessary knowledge to be able to access post-graduate studies - They are able to properly apply their theoretical and practical knowledge acquired during their studies

3. SYLLABUS

1. Basic Principles: Types of field experiments, General considerations, experimental error, Planning Considerations.
2. Analysis of variance
3. Basic experimental designs
4. Completely Randomized Design, Randomized complete block design, Latin Square design, Factorial experiments and Split-plot designs
5. Comparison of means (least significant difference, criterion Duncan, orthogonal comparisons
6. Combined analysis, presentation and data interpretation

4. TEACHING and LEARNING METHODS - EVALUATION

DELIVERY
Face to face
USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
Use of e class in teaching communication with students

TEACHING METHODS
Activity Semester Workload
Lectures 25
Field experiment establishment and statistical analysis of data 50
Study 50
Course total (25 hours of workload per credit uni 125
STUDENT PERFORMANCE EVALUATION
Ι. Lab final exam ( written)
2. Final written theory exams


5. SUGGESTED BIBLIOGRAPHY

-Suggested bibliography :
• Καλτσίκης Παντούσης 1997. Γεωργικός πειραματισμός Απλά πειραματικά σχέδια , Εκδόσεις Σταμούλη ( ISBN 960-351-138-2) ( Κaltsikes P. Agricultural Field Experiments. Simple experimental design Publ. Stamoulis ( ISBN 960-351-138-2))
• Φωτιάδης Νικόλαος Α. 1995. Εισαγωγή στη στατιστική για βιολογικές επιστήμες, Εκδόσεις University Studio Press (ISBN: 978-960-12-0461-1). Fotiadis Nikolaos A. 1995 Introduction in statistics for biological Sciences Publ. University Studio Press (ISBN: 978-960-12-0461-1).
• Petersen G. ROGER, 1994 . Agricultural Field Experiments Design and Analysis, Margen Dekkerinc. (ISBN 0-8247-8912-1)
• Statistical Methods in Agriculture and Experimental Biology 3rd ed, R Mead-RN Curnow, AM Hasted, 1993, CRC press (ISBN 0-4123-5470-5)
-Related academic journals: