Kaisa_2012_3_photo by Veikko Somerpuro

27.8.2019 at 08:00 - 16.9.2019 at 23:59


Thu 26.9.2019
12:00 - 16:00


Students in the Master’s Programme in Agricultural Sciences.

BSc degree or equivalent.

The student will understand the basics of designing experiments and research, learn how to select an appropriate design to test the chosen scientific question, learn how to apply the fundamentals of statistical analysis of common research designs, and understand the tight link between design and analysis. During the course the student will apply these skills in preparing a research plan for her/his MSc thesis.

Period IV, first year of MSc studies.

Principles of experimental design applied in the agricultural sciences. Basic concepts of the core statistical methods and linking the experimental design to the statistical analysis.

Lectures, tutorials and course work. Lectures 34 h, tutorials 6 h, practical and course work 55 h, independent study 40 h.

Recommended literature:

  • Ruxton, G.D. & Colegrave, N. 2016. Experimental Design for the Life Sciences (also older editions)
  • van Emden, H.F. 2008. Statistics for Terrified Biologists. Oxford, UK: Blackwell
  • Dytham, C. Choosing and Using Statistics. 2011. Wiley-Blackwell
  • Pallant, J. 2016. SPSS survival manual: A step-by-step guide to data analysis using IBM SPSS.McGraw Hill. SPSS
  • Field, A. 2013. Discovering statistics using IBM SPSS statistics. Sage. SPSS

University lecturer Priit Tammeorg and Professor Jarmo Valaja

Replaces the former course 822091 (AGTEK401) Agroteknologian tutkimusmenetelmät I, 5-7 cr OR
822093 (AGTEK403) Agroteknologian tutkimusmenetelmät II, 5-7 cr OR
812098 (KTT407) Kokeiden suunnittelu ja analyysi, 2-5 cr.