Statistical methods in natural sciences Field of study: Biotechnology
Programme code: W2-S2BT19.2020

Module name: Statistical methods in natural sciences
Module code: 2BT_60A
Programme code: W2-S2BT19.2020
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 [2BT_60_1]
 2BT_W01_P [4/5] 2BT_K02_P [4/5]
Students elaborates and chooses appropriate methods to solve the analyzed problem [2BT_60_2]
 2BT_W01_P [4/5] 2BT_U01_P [4/5]
Student realizes planning experiments according to assumed statistical models. [2BT_60_3]
 2BT_U01_P [3/5] 2BT_U02_P [3/5]
Student arranges and performs statistical calculations of the observed data, and formulates conclusions and interprets the results of statistical analyzes [2BT_60_4]
 2BT_U03_P [4/5] 2BT_K02_P [4/5]
Student formulates hypotheses and verifies their correctness on the basis of statistical tests [2BT_60_5]
 2BT_W08_P [5/5] 2BT_U03_P [5/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Coursework [2BT_02_w_1]
according to the Syllabus
 2BT_60_1 2BT_60_2 2BT_60_3 2BT_60_4 2BT_60_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 [2BT_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 Coursework [2BT_02_w_1]
discussion classes [2BT_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 Coursework [2BT_02_w_1]
laboratory classes [2BT_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 Coursework [2BT_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)