Course code LauZ6054
Credit points 4.50
Research Methodology
Total Hours in Course120
Number of hours for lectures16
Number of hours for seminars and practical classes32
Date of course confirmation16.12.2014
Responsible UnitInstitute of Soil and Plant Science
Course developers
Gundega Putniece
Dr. agr.
Dainis Lapiņš
Dr. agr.
Course abstract
basics of scientific work in agriculture, interpretation of results of the application of biometry. Planning of the experiment and evaluation of experimental results; interpretation of results of multi – factor analysis. Methods of analysis of the relations between traits. Explication of results in thesis of master of science. Research projects, formatting of thesis of Master of Science.
Learning outcomes and their assessment
• Knowledge of research planning principles: the number of repetitions, assumptions reasons, the outline around the selected data processing techniques, as well as the research object as a dynamic system characterization and opportunities for research, in relation to environmental criteria.
• Skills: 1) on related subjects, the goals, objectives, text, and the plan of work structured content with data processing and analysis methods, 2) scalar and non-parametric cluster, as well as time series analysis of synergy and antagonism studies, 3) for a scalar high correlation study, 4) work with large sets of SPSS environment.
• Competence: 1) the scientific basis for asserting the credibility of hypotheses, 2) to comply with the review of research data, including large-scale clusters, mathematical analysis, 3) the use of biometrics as scientific generalization initial potential methodological techniques.
Compulsory reading
1. Arhipova I., Bāliņa S. Statistika ekonomikā un biznesā. Risinājumi ar SPSS un MS Excel. Rīga: Datorzinību centrs, 2006. 364 lpp.
2. Lapiņš D. Pētījumu metodoloģija - lekciju konspekts ar ikgadējiem precizējumiem. Materiāla datorsalikums ar piemēru analīzi praktiskajiem darbiem elektroniskā formā (pdf). 2014.
3. Paura L., Arhipova I. Neparametriskās metodes. SPSS datorprogramma. Jelgava: LLKC, 2002. 148 lpp.
4. Petersen R.G. Agricultural Field Experiments. design and Analysis. New York : Marcel Dekker, 1994. 409 p.
Further reading
1. Buiķis M., Carkovs J., Siliņa B. (1997). Varbūtību teorijas un statistikas elementi. 1. daļa. Notikumi un varbūtības. Rīga: Zvaigzne ABC, 1997. 69 lpp.
2. Goša Z. Statistika. Rīga: LU, 2007. 372 lpp.
3. Krastiņš O. Statistika un ekonometrija. Rīga: LR Centrālā statistikas pārvalde, 1998. 436 lpp.
Periodicals and other sources
1. Agronomijas Vēstis: [zinātnisko rakstu krājums] / LLMZA, LLU LF = Latvian Journal of Agronomy / Latvian Academy of Agriculture and Forestry Sciences, Latvia University of Agriculture. Nr. 1 - 12. Jelgava: LLU, 1999 - 2009. ISBN 9984555895(5). ISSN 1691-3485.
2. Latvijas Lauksaimniecības universitātes Raksti. (Proceedings of the Latvia University of Agriculture). [tiešsaiste]. Latvijas Lauksaimniecības universitāte. ISSN 1407-4427. [skatīts 10.12.2014.] Pieejams: http://www.llu.lv/llu-raksti