Statistical and graphical methods in environmental protection

General data

Course ID:	1300-OMSGOC-GES
Erasmus code / ISCED:	07.205 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0532) Earth science The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Statistical and graphical methods in environmental protection
Name in Polish:	Metody statystyczne i graficzne w ochronie środowiska
Organizational unit:	Faculty of Geology
Course groups:	(in Polish) Przedmiot obowiązkowy na III sem. stud. II st. GES na spec. geologia środowiskowa
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:	Polish
Type of course:	obligatory courses
Prerequisites (description):	Efficient use of mathematical apparatus, good knowledge of Excel.
Short description:	During the course students gain practical skills in working with statistical and graphical software (programs: Statistica, Past, Corel Draw, Corel Photo-Paint, Tilia). In the frame of individual work the students prepare a poster showing the results of statistical analysis and graphical development of hypothetical test results.
Full description:	The course consists of six blocks: 1. Work with the program Statistica - distribution fitting, comparing differences between two or multiple independent samples: t test, nonparametric tests (Wilcoxon, Wald-Wolfowitz, Mann-Witney, Kolomogorov-Smirnov) - analysis of variance - correlation and regression, Spearman correlation, statistical significance of correlation and regression, multivariate regression. 2. Working with the program Past - Multivariate Exploratory Techniques: cluster analysis, principal component analysis, factor analysis, correspondence analysis, canonical analysis. 3. Working with the program Corel Draw - creating vector objects, working with layers, annotate and modify drawings metafile, import files, PDF publishing, - drawing lithological sections. 4. Working with the program Corel Photo-Paint - cropping, retouching, overlapping masks, transformations. 5. Working with the program Tilia - creating diagrams of variation of the analyzed factors in section, CONISS cluster analysis. 6. Individual students’ work - selection of appropriate statistical tools for analysis of field data, creation of graphs and charts, preparation of poster presentation.
Bibliography:	(in Polish) Software: Excel, Statistica, Past, Corel Draw, Corel Photo Paint, Tilia. Łomnicki A. 2007. Wprowadzenie do statystyki dla przyrodników. PWN
Learning outcomes:	On completion of the course, the student: - has knowledge and ability for practical use of basic statistical analysis techniques, - easily uses statistical and graphic software, - has the ability to properly select appropriate statistical methods for correct data analysis, graphic elaboration of the results and their presentation on a poster.
Assessment methods and assessment criteria:	Evaluation on the basis of a poster presentation.
Practical placement:	(in Polish) brak

This course is not currently offered.

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Copyright by University of Warsaw.