Statistical methods in natural sciences Field of study: Biology
Programme code: W2-S2BI19.2020

Module name: Statistical methods in natural sciences
Module code: 2BL_02a
Programme code: W2-S2BI19.2020
Semester: summer semester 2020/2021
Language of instruction: depending on the choice
Form of verification: course work
ECTS credits: 3
Description:
The objective of the unit is to present the advanced statistical methods applied in natural sciences and to adopt practical methods with the use of computer software for statistics.
Prerequisites:
Basic knowledge of mathematics and statistics from the courses of the first level of studies.
Key reading:
according to the syllabus
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
Student applies advanced computer software for statistics. [2BL_02_1]
 2BL_U02_P [5/5]
Students elaborates and chooses appropriate methods to solve the analyzed problem. [2BL_02_2]
 2BL_U03_P [4/5]
Student realizes planning experiments according to assumed statistical models. [2BL_02_3]
 2BL_U02_P [4/5]
Student arranges and performs statistical calculations of the observed data, and formulates conclusions and interprets the results of statistical analyzes. [2BL_02_4]
 2BL_U01_P [5/5] 2BL_U04_P [5/5] 2BL_K02_P [4/5]
Student formulates hypotheses and verifies their correctness on the basis of statistical tests. [2BL_02_5]
 2BL_W01_P [4/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
credit for a grade [2BL_02_w_1]
according to the rules set out in the syllabus
 2BL_02_1 2BL_02_2 2BL_02_3 2BL_02_4 2BL_02_5
Form of teaching Student's own work Assessment of the learning outcomes
Type Description (including teaching methods) Number of hours Description Number of hours
lecture [2BL_02_fs_1]
Presentation of chosen subjects of application of statistics in natural sciences with the use of audiovisual aids.
 10
Individual study, work with the recommended literature to widen and systematize student’s knowledge.
 10 credit for a grade [2BL_02_w_1]
discussion classes [2BL_02_fs_2]
Discussion on specific statistical problems and application of appropriate methods and tests in statistical inference.
 15
Individual study, calculation, work with the recommended literature, elaboration the reports.
 15 credit for a grade [2BL_02_w_1]
laboratory classes [2BL_02_fs_3]
Work with a computer, statistical data processing with the use of a statistical software.
 20
Self-preparation to practical on the basis of the lecture, individual work with a computer.
 20 credit for a grade [2BL_02_w_1]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)