Course code MežZ6001

Credit points 2

Research Methodology

Total Hours in Course80

Number of hours for lectures24

Number of hours for seminars and practical classes8

Independent study hours48

Date of course confirmation08.11.2011

Responsible UnitDepartment of Silviculture

Course developer

author Mežkopības katedra

Aigars Indriksons

Dr. silv.

Course abstract

Forms of scientific cognition. The key terms and outline for the
master's thesis. Most frequent error analysis. Gathering and mathematical processing of information, analysis and interpretation of results, approaches and methods. Representativity problem. Statistical sets, its distributions, characteristics and parameters. Formulating and testing hypotheses. Multiple statistics. Specifity of processing methods, their relevance for research task and the empirical material, choosing the most appropriate methods. Partial development of the master's thesis.

Learning outcomes and their assessment

The course of study for master students acquire knowledge of the implementation of the common regularities of scientific research: study of basic information (topic, purpose, a working hypothesis, research objectives), formulation of the thesis content outline, the collection and mathematical processing of information, interpretation of results, writing and defense of master's thesis. Master's in cooperation with supervisors develop skills to independently choose and implement the study conditions for scientific work performance (data mathematical processing techniques appropriate selection and use, discussion and presentation of results). After learning course masters are competent to independently perform scientific work and defend it.

Compulsory reading

1. Arhipova I., Bāliņa S. Statistika ekonomikā. Risinājumi ar SPSS un Microsoft Excel. Rīga: Datorzinību centrs, 2003. 352 lpp.
2. Williams B. Biostatistics. Concepts and Applications for Biologist. London: Chapman & Hall, 1996. 201 p.
3. Zar J. H. Biostatistical Analysis. New Jersey: Published by Prentice Hall, 1999. 591 p.

Further reading

1. Sprent P., Smeeton N.C. Applied Nonparametric Statistical Methods. Boca Raton, London, New York, Washington D.C.: Chapman Hall/CRC, 2000. 461 p.

Periodicals and other sources

1. Latvijas Lauksaimniecības Universitāte. Raksti. ISSN: 1407-4427. Rural Sustainability Research. Proceedings of the Latvia University of Agriculture. Berlin: De Gruyter Open. ISSN: 2256-0939.
2. Zinātnisko konferenču rakstu krājumi izvēlētajā zinātnes apakšnozarē.
3. Mežzinātne. ISSN: 1407-270X.
4. Biometrics. A Journal of the International Biometric Society. ISSN: 0006-341X.