|Name||Test Data Processing|
|Status||Compulsory/Courses of Limited Choice|
|Level and type||Post-graduate Studies, Professional|
|Field of study||Mathematics and Statistics|
|Academic staff||Ēvalds Prīmanis, Artis Kromanis|
|Credit points||2.0 (3.0 ECTS)|
Studies of test planning methods, simplex method. Mathematical simulation, computer aided data processing. Economics of scientific research. Methods useful for manufacturing in small companies..
Goals and objectives
of the course in terms
of competences and skills
|Give possibility to acquire experimental data processing principles. Tasks: Factor space choice, development of the experiment plan, factor requirement determination, calculation, approximation methods of selection, approximation performance of the regression equation, display of results, the relative quadratic deviations.|
Knowledge which helps to formulate the main research framework. - Test types: home work (paper, the experimental analysis), practical work, test. Criteria: able to define key terms and research framework.
Able to explain the most important scientific research of theoretical foundations. - Test types: home work (paper); practical work, test. Criteria: able to make optimal use of experimental research plan.
Able to conduct and briefly describe some scientific research work. - Test types: home work (paper); practical work, test. Criteria: able to describe scientific research results.
|Course prerequisites||MTM201 Theoretical Mechanics (Mechanical Engineering)|