Design and Analysis of Experiments

Subject description

  • Basic concepts.

  • Simple experimental designs: characteristics, impementation, adventages and disadvantages.

  • Compex experimental designs: characteristics, impementation, adventages and disadvantages.

  • Statistical analysis: parametric and non parametric approach.

  • Generalized linear models and their application for analysis of experiments.

The subject is taught in programs

Objectives and competences

Students get acquainted with specific methods for design and analysis of experiments in different fields of applications.

Teaching and learning methods

  • Lectures

  • Exercises

  • Homeworks

  • Consultations.

Expected study results

Knowledge and understanding:

Students get the understanding and the ability to carry out the research in the field of the design and analysis of experiments.

Basic sources and literature

  • Mead R, Curnow R & Hasted A. (2002). Statistical Methods in Agriculture and Experimental Biology, Third Edition. Chapman & Hall/CRC Press.

  • Steel RGD., Torrie JH., Dickey D (1997). Principles and Procedures of Statistics. A Biometrical Approach. McGraw-Hill.

  • Kuehl RO (2000). Design of experiments: statistical principles of research design and analysis. Duxbury/Thomson Learning.

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University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana

E:  dekanat@fe.uni-lj.si T:  01 4768 411