Basic of statistics and multivariate analyses for biologists
Informacje ogólne
| Kod przedmiotu: | 2600-BSM-ERS | Kod Erasmus / ISCED: |
(brak danych)
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(0511) Biologia
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| Nazwa przedmiotu: | Basic of statistics and multivariate analyses for biologists | ||
| Jednostka: | Wydział Nauk Biologicznych i Weterynaryjnych | ||
| Grupy: | |||
| Punkty ECTS i inne: |
2.00 |
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| Język prowadzenia: | angielski | ||
| Wymagania wstępne: | (tylko po angielsku) Basic knowledge of statistics in the field of secondary school |
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| Rodzaj przedmiotu: | przedmiot obowiązkowy |
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| Całkowity nakład pracy studenta: | (tylko po angielsku) Contact hours with teacher: - participation in laboratory - 30 hrs - consultations - 10 hrs Self-study hours: - preparation for laboratory - 10 hrs Altogether: 50 hrs (2 ECTS) |
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| Efekty uczenia się - wiedza: | (tylko po angielsku) Student W1: defines a task or problem in the field of biology and selects appropriate statistical methods to solve them K_W11 |
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| Efekty uczenia się - umiejętności: | (tylko po angielsku) Student U1: applies basics knowledge in the field of statistics to the biological data and is able to use computer software for calculation and presentation of the results K_U06, K_U07 U2: is able to use a foreign language to communicate at a basic level in accordance with the requirements of B2 ESOKJ K_U17 U3: has the ability to present results in English, as well as write a report in English K_U22, K_U21 |
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| Efekty uczenia się - kompetencje społeczne: | (tylko po angielsku) Student K1: demonstrates the ability to use statistical and multivariate methods to develop and present results and analyzes K_K07 K2: can work in a team, both by directing and co-ordinating the team's activities and by performing assigned tasks K_K11 |
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| Metody dydaktyczne: | (tylko po angielsku) discussion, presentation, video / computer, pointer, banners image |
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| Metody dydaktyczne eksponujące: | - pokaz |
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| Metody dydaktyczne podające: | - wykład problemowy |
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| Metody dydaktyczne poszukujące: | - ćwiczeniowa |
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| Skrócony opis: |
(tylko po angielsku) Introduction to basic statistical and multivariate methods and applications of basic functions for analysis and research planning |
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| Pełny opis: |
(tylko po angielsku) Classes include the application of statistical methods in biology: description of biological data in mathematical language, description of relationships by means of basic linear and nonlinear functions, different types of data transformations, parametric and nonparametric significance tests, linear regression, classification, indirect and direct ordination methods. List of topics: 1. Basics of descriptive statistics – mean, median, modal, standard deviation, standard error, coefficient of variation 2. Testing simple hypothesis I – parametric tests: t-test, F-test, Chi2- test, one- and two-way ANOVA 3. Testing simple hypothesis II – non-parametric tests: Man-Whitney, Wilcoxon, Kruskal-Wallis with Dunn post-hoc comparison, PERMANOVA 4. On correlation and regression – basics of linear correlation and regression 5. Basics of classification methods – hierarchical agglomerative clustering, non-hierarchical k-means clustering 6. Basics of ordination methods – indirect (PCA, CA, DCA and NMDS) and direct ordination (CCA) |
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| Literatura: |
(tylko po angielsku) Zar J.H. 2010. Biostatistical analysis. Prentice Hall, Pearson International Edition. Gauch H.G., 1982. Multivariate analysis in community ecology. Cambridge University Press, Cambridge. Hill M.O., 1979. TWINSPAN: A FORTRAN program for arranging Multivariate Data in order two-way table by classification of the individual and attributes. Cornell University, Ithaca, New York. Jongman R.H.G., ter Braak C.J.F., van Tongeren D.F.R., (eds). 1995. Data analysis in community and landscape ecology. Pudoc, Wageningen. Kovach W.L., 1985-2003. MVSP Plus version 3.1. Pentraeth, UK. Piernik A., 2008. Metody numeryczne w ekologii. Wyd. Naukowe UMK, Toruń. ter Braak C.J.F., 1996. Unimodal models to relate species to environment. DLO-Agrocultura;l Mathematics Group, Wageningen, the Netherlands. ter Braak C.J.F., Smilauer P., 2002. CANOCO Reference Manual and CanoDraw for Windows User's Guide. Biometrics, Wageningen and Ceske Budejovice. |
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| Metody i kryteria oceniania: |
(tylko po angielsku) Lecture and Laboratory – project in groups 61-68% satisfactory, 69-76% satisfactory plus, 77-84 % good, 85- 92% good plus, 93-100% very good W1, U1, U2, U3, K1, K2. Lecture - written detailed report of the project, Laboratory - oral presentation of the project. |
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| Praktyki zawodowe: |
(tylko po angielsku) not applicable |
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Zajęcia w cyklu "Semestr zimowy 2019/20" (zakończony)
| Okres: | 2019-10-01 - 2020-02-28 |
 
 zobacz plan zajęć |
| Typ zajęć: |
Laboratorium, 15 godzin  więcej informacji Wykład, 15 godzin więcej informacji |
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| Koordynatorzy: | Agnieszka Piernik | |
| Prowadzący grup: | Agnieszka Piernik | |
| Lista studentów: | (nie masz dostępu) | |
| Zaliczenie: | Zaliczenie na ocenę |
Właścicielem praw autorskich jest Uniwersytet Mikołaja Kopernika w Toruniu.