(in Polish) Application of statistical methods in environmental data analysis

General data

Course ID:	KS-JO-6-5-ASM
Erasmus code / ISCED:	(unknown) / (unknown)
Course title:	(unknown)
Name in Polish:	Application of statistical methods in environmental data analysis
Organizational unit:	Institute of Environmental Engineering and Biotechnology
Course groups:	Courses for short-term studies
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
Full description:	As a result of surveys carried out to study various phenomenons occurring in nature a number of different parameters can be determined. Results of observation and measurement results supported by appropriate data analysis provide an information about current state of the natural environment but also enables prediction of future condition or discovers information from the past. Selection of appropriate statistical methods applied in data analysis plays a crucial role, because results of formally correct computations can lead to erroneous or delusive conclusions. In the course the following topics will be discussed during lectures and then analyzed during computer exercises: selected methods of multidimensional data elaboration, elements of spatial and temporal data analysis, elements of linear model construction, and basics of compositional data analysis. The concepts will be demonstrated during lectures and analyzed by Participants using R language. Participants are expected to possess basic skills in statistics at start of this course.
Assessment methods and assessment criteria:	completion of a report, participation in training, participation in lecture

This course is not currently offered.

Course descriptions are protected by copyright.
Copyright by University of Opole.