Course code BūvZ5012

Credit points 2

Statistical Processing of Data

Total Hours in Course80

Number of hours for lectures8

Number of hours for seminars and practical classes8

Number of hours for laboratory classes16

Independent study hours48

Date of course confirmation01.11.2011

Responsible UnitDepartment of Structural Engineering

Course developer

author prof.

Lilita Ozola

Dr. sc. ing.

Course abstract

This optional course is devoted to acquiring of knowledge and mastering of skills for use of statistical analysis methods for data processing in engineering experiments. The empirical and theoretical distributions including their indices are analysed, the problems of factor's variation in civil engineering and statistical modeling are discussed, as well as the analysis of correlation, regression models and diagnostics.

Learning outcomes and their assessment

Knowledge on one-dimensional sample tests including estimation of statistics, about theoretical distributions and evaluation of compatibility, on correlation features and regression models. Skills: for data analysis using computer program tools (MS Excel or SPSS). Competence: to demonstrate an ability for data processing skills and to make a decision on confidence of experimental results regarding significance and confidence of indices

Compulsory reading

1. Smotrovs Jānis. Varbūtību teorija un matemātiskā statistika :[mācību grāmata dabaszinātņu un inženierzinātņu studentiem]. Rīga : Zvaigzne ABC, 2004-2007. 2 sēj.
2. Moore David S. The basic practice of statistics. New York : W.H. Freeman and Company, 2007. 728 p.
3. Handbook of data analysis. Edited by Melissa Hardy, Alan Bryman. London ... [etc.].: Sage, 2004 (reprinted 2006) XVII, 704 p.
4. Kottegoda Nathabandu T., Rosso R. Applied statistics for civil and environmental engineers. Oxford ; Malden, MA : Blackwell Publishing, 2008. 718 p.

Further reading

1. Arhipova Irina. Varbūtību teorijas un matemātiskās statistikas pielietojumi inženierzinātnēs: mācību līdzeklis. Latvijas Lauksaimniecības universitāte. Informācijas tehnoloģiju fakultāte. Jelgava : LLU, 2008. 125 lpp.
2. Levine D.M., P. P. Ramsey, R. K. Smidt. Applied Statistics for Engineers and Scientists. Using Microsoft Excel and MINITAB. Prentice Hall, Upper Saddle River, New Jersey : Prentice Hall, 2001. 671 p.
3. Ozola L. Factor's Variability Effects and Uncertainty in Structural Timber Engineering. The thesis for the degree of Doctor of Philosophy in Engineering, Tartu: Estonian Agricultural University, 2005 164 p.

Periodicals and other sources

1. Next: viss par tehnoloģijām. Rīga : Pelikāns Marketings. ISSN 1407-8937.